CN109189535B - Teaching method and device - Google Patents

Teaching method and device Download PDF

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Publication number
CN109189535B
CN109189535B CN201811004655.0A CN201811004655A CN109189535B CN 109189535 B CN109189535 B CN 109189535B CN 201811004655 A CN201811004655 A CN 201811004655A CN 109189535 B CN109189535 B CN 109189535B
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teaching
target
client
learning
determining
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CN109189535A (en
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佟子健
茹立云
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Beijing Putao Zhixue Technology Co ltd
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Beijing Putao Zhixue Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/451—Execution arrangements for user interfaces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations

Abstract

The invention provides a teaching method and a teaching device, wherein the method comprises the following steps: acquiring a preset display logic sequence among a plurality of teaching elements corresponding to a teaching course to be learned; acquiring a teaching progress of a teaching course of a client to be taught; determining at least one teaching element to be displayed in the plurality of teaching elements according to a preset display logic sequence and the teaching progress of the teaching course; sending at least one teaching element to the client so that the client can display the at least one teaching element; if a target learning result responding to at least one teaching element from the client is received, determining a first target teaching element in the plurality of teaching elements for responding to the target learning result according to a preset display logic sequence; and sending the first target teaching element to the client so that the client displays the first target teaching element. The invention can enable the robot teacher to interact with students at each client side in teaching, and does not need to hire a real-person teacher, thereby saving the teaching cost.

Description

Teaching method and device
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a teaching method and a teaching device.
Background
The online live broadcast teaching is that a teacher and students log in a teaching system at the same time, the teacher finishes teaching through videos, and the students learn through videos and exchange with the teacher interactively. In the above live teaching, when a teacher teaches a plurality of students, since the teacher has limited energy, it is impossible to perform teaching interaction with each student; when a teacher teaches a student, although the aim that each student has a teacher to interact with the student in teaching can be achieved, the teaching cost of the student is greatly increased.
Therefore, the manual online teaching scheme in the related art generally has the problem that the teaching interaction between the teacher and each student cannot be ensured.
Disclosure of Invention
The invention provides a teaching method and a teaching device, which are used for solving the problem that a teacher can not interact with each student in a manual online teaching scheme in the related technology.
In order to solve the above problems, according to an aspect of the present invention, there is disclosed a teaching method comprising:
acquiring a preset display logic sequence among a plurality of teaching elements corresponding to a teaching course to be learned;
acquiring the teaching progress of the teaching course for a client to be taught;
determining at least one teaching element to be displayed in the plurality of teaching elements according to the preset display logic sequence and the teaching progress of the teaching course;
sending the at least one teaching element to the client to enable the client to display the at least one teaching element;
if a target learning result responding to the at least one teaching element from the client is received, determining a first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, according to the preset display logic sequence;
and sending the first target teaching element to the client so that the client displays the first target teaching element.
According to another aspect of the present invention, the present invention also discloses a teaching apparatus, comprising:
the first acquisition module is used for acquiring a preset display logic sequence among a plurality of teaching elements corresponding to the teaching course to be learned;
the second acquisition module is used for acquiring the teaching progress of the teaching course of the client to be taught;
the first determining module is used for determining at least one teaching element to be displayed in the plurality of teaching elements according to the preset display logic sequence and the teaching progress of the teaching course;
the first sending module is used for sending the at least one teaching element to the client so that the client can display the at least one teaching element;
a second determining module, configured to determine, according to the preset presentation logic sequence, a first target teaching element in the multiple teaching elements, where the first target teaching element is used for responding to the target learning result, if a target learning result from the client, which is in response to the at least one teaching element, is received;
and the second sending module is used for sending the first target teaching element to the client so that the client can show the first target teaching element.
Compared with the prior art, the invention has the following advantages:
according to the embodiment of the invention, after at least one teaching element is sent to the client for display, the target learning result of the client for the at least one teaching element can be received, so that the first target teaching element in the plurality of teaching elements for responding to the target learning result is determined, and the first target teaching element is continuously sent to the client for display, so that the teaching content displayed by the client can be flexibly adjusted according to the learning result fed back by the client, even if the client student faces a teacher who is not a real teacher, the intelligent teaching content given by the intelligent teaching device can still be learned, the robot teacher can interact with the students of each client for teaching, and the real teacher does not need to be hired, so that the teaching cost is saved.
Drawings
FIG. 1 is a block diagram of a teaching system embodiment of the present invention;
FIG. 2 is a flow chart of the steps of one teaching method embodiment of the present invention;
FIG. 3 is a flow chart of steps of another teaching method embodiment of the present invention;
FIG. 4 is a flow chart of steps of yet another teaching method embodiment of the present invention;
FIG. 5 is a flow chart of steps in yet another teaching method embodiment of the present invention;
FIG. 6 is a block diagram of an embodiment of a teaching device according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to FIG. 1, a block diagram of a teaching system embodiment of the present invention is shown.
As shown in fig. 1, the tutorial system includes a tutorial apparatus and a client communicating with each other. Where the number of clients communicating with the same teaching device may be one or more, Q clients are shown.
By using the teaching device provided by the embodiment of the invention, the students at the client can be intelligently taught without manual intervention.
The teaching device can comprise two databases, namely a teaching outline library and a teaching element library.
The teaching outline library stores the predefined teaching content and teaching flow of each class. Each class is called a course, and a course may include one or more teaching links, each of which may include one or more knowledge points. Each knowledge point in the course can be provided with sub-teaching contents (selected from teaching elements in the teaching element library) and sub-teaching flows, so that all the sub-teaching contents of all the knowledge points in one course form the teaching contents of the course, and similarly, all the sub-teaching flows of all the knowledge points in the course form the teaching flows of the course. In addition, the presentation sequence of different sub-teaching contents of a plurality of knowledge points of the course from low difficulty to high difficulty according to the knowledge points is predefined in the teaching flow of the course.
It should be noted that, although the teaching process of the course according to the embodiment of the present invention defines different sub-teaching contents in which different knowledge points are presented in a sequence from low difficulty to high difficulty, the presentation order of the teaching contents of the course according to the present invention is not limited to this, in other words, the presentation order defined in the teaching process may also be another preset presentation order, for example, a sequence from high difficulty to low difficulty of the past years of the knowledge points in the teaching contents, or a classification sequence according to the types of the teaching contents, and so on.
In one course, when a robot teacher teaches sub-teaching contents of different knowledge points, the robot teacher needs to teach each sub-teaching content according to the teaching flow of the course.
In addition, for the sub-teaching process of any knowledge point in any section of course in the teaching outline library, the teaching logic sequence among all teaching elements contained in the sub-teaching content of the knowledge point is predefined, that is, the sub-teaching process of any knowledge point defines the teaching logic sequence of all teaching elements of the knowledge point.
When the robot teacher teaches the sub-teaching contents of the knowledge point, teaching each teaching element in the sub-teaching contents in sequence according to the teaching logic sequence of the teaching elements of the knowledge point, wherein the teaching logic sequence embodies the logic sequence of each teaching element of the knowledge point when being displayed. Different knowledge points have different sub-teaching processes.
In addition, as described above, the course may be divided into one or more teaching links, and the teaching contents of different teaching links may appear in the course according to the setting of the outline of the course.
Then, for a plurality of teaching elements (which may correspond to one or more knowledge points) of a course (i.e., a lesson), a presentation logic sequence is preset among the plurality of teaching elements, i.e., the preset presentation logic sequence. Specifically, each teaching element of any knowledge point in the course has the teaching logic sequence, and the sub-teaching contents of different knowledge points are arranged according to the sequence from low difficulty to high difficulty of the knowledge points. Therefore, the preset display logic sequence of the teaching elements of the course defines that the sub-teaching contents of different knowledge points are sequentially displayed according to the sequence from low difficulty to high difficulty of the knowledge points, and defines that when the sub-teaching contents of any one knowledge point are displayed, the teaching elements of the knowledge point are sequentially displayed according to the teaching logic sequence of the teaching elements of the knowledge point. In addition, in the preset display logic sequence, different sub-teaching contents for knowledge points with the same difficulty also define the teaching sequence among the different sub-teaching contents.
Furthermore, for a course subject, which may have multiple courses, the structure of each course is laid out as described above.
For example, taking a lesson section of an english lesson as an example, the teaching links of the english lesson section include but are not limited to: teaching teachers and teaching words, teachers with students to write words, teachers with teaching texts, teachers with students to read texts aloud, teachers with teaching sentences, teachers with teaching students to make sentences, teachers with students to do exercises and the like.
Taking the teaching link "teacher teaches words" as an example, the knowledge points in the teaching link may include but are not limited to: teaching teachers to pronounce words, teachers to teach meaning words, and teachers to teach words.
The sub-teaching content of each knowledge point can include test questions.
For the teaching element library, it includes various teaching elements for intelligent teaching, wherein the types of the teaching elements may include, but are not limited to, audio, image, flash animation, document (PPT, Excel, Word, etc. type document), pre-recorded or produced teaching video clip, etc.
Therefore, in order to distinguish the teaching elements, the teaching elements in the teaching element library can be named according to the format of subject number, course number, teaching link number, knowledge point number and teaching element number, so that the teaching elements of different subjects, the teaching elements of different courses of the same subject, the teaching elements of different teaching links in the same course, the teaching elements of different knowledge points in the same teaching link and the teaching elements of different knowledge points in the same knowledge point in the teaching element library can be distinguished. Of course, the purpose of differentiating the teaching elements is only achieved by taking the naming rule of the teaching elements as an example, in other embodiments, any classification method in the known technology may be adopted to classify/group the teaching elements, so that when the teaching elements are called from the teaching element library for teaching, the required teaching elements are conveniently found.
In addition, as shown in fig. 1, the teaching apparatus according to the embodiment of the present invention further includes a scheduler and an executor.
The scheduler is mainly used for calling the teaching process of the teaching course from the teaching outline library and the information such as the teaching progress of the teaching course of the client, so that the teaching elements required to be used in teaching are determined according to the teaching process and the teaching progress, and the information of the teaching elements required to be used is sent to the actuator; in addition, the scheduler is also used for receiving feedback information of the teaching elements displayed by the client side of the actuator, determining information of the teaching elements required to be used next according to the feedback information and the teaching process, and sending the information of the teaching elements required to be used next to the actuator; in addition, the scheduler is also used for sending the teaching progress of the client to the teaching courses to the teaching outline library when the teaching is finished.
The executor is mainly used for extracting the teaching elements to be used from the teaching element library according to the information of the teaching elements from the scheduler and sending the teaching elements to the client, wherein the teaching elements can be pre-configured at the client, so that when the teaching elements pre-configured at the client are needed, the executor can also send the calling instructions of the teaching elements to the client, and the client can display the local teaching elements corresponding to the calling instructions; in addition, the executor is also used for receiving feedback information of the client to the teaching element and forwarding the feedback information to the scheduler.
The teaching system of the embodiment of the invention has the following general working flows: the robot teacher extracts teaching elements for teaching according to a teaching flow which is formed by courses in advance, collects information input such as voice, video and equipment (touch screen/keyboard/mouse) of a client student in the teaching process, analyzes and judges the class state of the client student, understands the voice of the student and the content input by the equipment, enters different flow branches in the teaching flow according to different information input (namely different learning results) of the client student, selects different teaching elements from a teaching element library, and sends the different teaching elements to the client for showing, so that the aim of adjusting the teaching content in real time according to the learning condition of the client user is fulfilled.
As shown in fig. 2, the teaching method of the teaching apparatus according to the embodiment of the present invention is briefly described by taking the teaching link as the "teacher teaching word" and the knowledge point as the "teacher teaching word pronunciation". The knowledge point is a pronunciation of a word for teachers to teach students (if a teaching link needs to teach pronunciations of a plurality of words, a plurality of knowledge points can be spliced in sequence in the teaching link), and referring to fig. 2, the teaching flow of the teaching method of the embodiment of the invention comprises the following steps:
firstly, the teaching device displays a recorded video clip for teaching a teacher to a word at a client, enters a state of teaching for the robot teacher after the video display is finished, and displays a text/voice/video clip for showing that the robot teacher asks the student to read the word at the client; then, the teaching device collects pronunciations of the words read aloud by the students from the client and judges whether the pronunciations are correct or not; if the student pronounces wrongly, the teaching device can show the recorded and broadcast video clip of the word taught by the teacher again; if the student pronounces correctly, the teaching device shows that the robot teacher tells the student to read the correct voice/video clip, and the teaching of the knowledge point is finished.
As shown in fig. 3, the teaching method of the teaching apparatus according to the embodiment of the present invention is briefly described by taking the teaching link as "teacher takes student to practice" and the knowledge point as "student makes choice". The knowledge point is a choice question made by a teacher with a student (if a teaching link needs to make multiple choice questions, multiple knowledge points can be spliced in sequence in the teaching link), and referring to fig. 3, the teaching process of the teaching method of the embodiment of the invention comprises the following steps:
firstly, the teaching device displays teaching elements of 'show questions and teacher read questions' at a client, for example, the teaching elements may be pre-recorded video clips, also may be drawing elements of show questions, teaching audio, and the like (that is, the type of the teaching elements is not limited to this list), and here, the teaching elements are taken as video clips for description, when the video display is completed, the robot teacher enters a teaching state, and the teaching device displays text/voice/video clips at the client, which indicate that the robot teacher prompts students to answer questions; then, the teaching apparatus collects the results of student answers from the client. If the student does not answer after waiting for a period of time after prompting the student to answer the question, the teaching device judges that the student does not understand the expression of the question, displays a video segment of the question analyzed by the teacher to guide the student to answer the question to the student at the client, and displays the character/voice/video segment representing that the robot teacher prompts the student to answer the question again. After the students at the client answer, the teaching device judges whether the answer result is correct, if the answer result is wrong, different explanation video clips are selected according to different wrong options to be displayed at the client, and characters/voice/video clips which show that a robot teacher prompts the students to answer are displayed again after the video display is finished; if the answer is correct, the teaching device displays the text/voice/video segment which indicates that the robot teacher tells the student that the answer is correct, and the learning of the knowledge point is finished.
By means of the teaching system, intelligent teaching of the client students can be achieved, a real-person teacher is not needed in the teaching process, and teaching cost is reduced; in addition, the teaching system provided by the embodiment of the invention can flexibly adjust subsequent teaching contents according to different feedbacks of the students at the client to the displayed teaching contents, so that the robot teacher can timely react to the feedback of each student at each client, and each student can perform teaching interaction with the robot teacher.
Based on the teaching device in the teaching system shown in fig. 1, referring to fig. 4, a flowchart of steps of an embodiment of a teaching method of the present invention is shown, which may specifically include the following steps:
step 101, acquiring a preset display logic sequence among a plurality of teaching elements corresponding to a teaching course to be learned;
as described above, the types of the tutorial elements may include, but are not limited to, audio, images, flash animation, documents (PPT, Excel, Word, and other types of documents), pre-recorded or produced tutorial video clips, and the like.
Wherein, the plurality of teaching elements can be all or part of teaching elements in a teaching course; or can be teaching elements of a plurality of courses; the teaching element can also be a teaching link or teaching elements of a plurality of teaching links of a course; but may also be a teaching element of one or more knowledge points of a course, which is not limited by the invention.
When the teaching is directed to the client for teaching one teaching course, the plurality of teaching elements may be all teaching elements of the teaching course. Since a teaching course can have at least one teaching link and a teaching link can have at least one knowledge point, all teaching elements can be of one or more teaching links, or of one or more knowledge points of the primary teaching course.
When the teaching course has a plurality of knowledge points, the preset display logic sequence among the teaching elements defines the display sequence from low difficulty to high difficulty according to the knowledge points to which the teaching elements belong, and for the teaching elements of each knowledge point, the preset display logic sequence also defines the teaching logic sequence among the teaching elements of the knowledge point.
When the teaching course only has one knowledge point, the preset display logic sequence among the teaching elements defines the teaching logic sequence among the teaching elements of the knowledge point.
Therefore, the scheduler shown in fig. 1 can extract the preset presentation logic sequence of the plurality of teaching elements of the course to be taught from the teaching outline library.
Because the method of the embodiment of the invention supports intelligent teaching of a plurality of teaching subjects, when the teaching device is started, the teaching course to be learned can be manually input into the teaching device of the embodiment of the invention, thereby triggering the automatic execution of the teaching method of the embodiment of the invention and completing robot teaching.
102, acquiring the teaching progress of the teaching course for a client to be taught;
although different clients can learn the same teaching course, the understanding and learning abilities of students at different clients to the course are different, so that the teaching schedules of different clients on the teaching course may be different. Therefore, in order to meet the teaching requirements of different clients, the scheduler shown in fig. 1 may obtain the teaching progress of the teaching course for the client to be taught from the teaching outline library, where when a course starts teaching, the teaching progress may be understood as the position of the last learned teaching element in the preset presentation logic sequence when the client finishes teaching last time; in the course of teaching, the teaching progress can be continuously updated along with the change of the teaching progress of the course, so that the teaching progress is understood as the position of the teaching element which is sent to the client at the last time in the preset display logic sequence.
103, determining at least one teaching element to be displayed in the plurality of teaching elements according to the preset display logic sequence and the teaching progress of the teaching course;
the scheduler may determine, according to the obtained two pieces of information, that, of the plurality of teaching elements of the teaching course, the teaching element located after the teaching progress in the preset presentation logic sequence is the teaching content of the current teaching. And the teaching elements behind the teaching progress are not all presented to the user for learning at one time, so the scheduler can further determine at least one teaching element to be presented (i.e. the teaching element to be presented at this time) in all the teaching elements behind the teaching progress according to the preset presentation logic sequence, wherein in the intelligent teaching process, the teaching device can present one or more teaching elements at the client at each time. The at least one teaching element to be presented determined here may be one or more teaching elements, and is a teaching element to be presented for the first time, which is arranged in the preset presentation logic sequence after the teaching element corresponding to the teaching progress. And the starting presentation time of the at least one tutorial element is the same, i.e. they need to be sent to the client simultaneously, but their preconfigured presentation time lengths may be different.
For example, a teaching course is an english course, a course is divided into a knowledge point 1, a knowledge point 2, and a knowledge point 3, the difficulty of which is from low to high, and the learning of the course is completed after the previous learning of the knowledge point 1 by the user is completed, all the teaching elements of the three knowledge points are a plurality of teaching elements of the course, and the teaching of this time only needs to learn the teaching elements of the knowledge point 2 and the knowledge point 3, and the preset display logic sequence defines the teaching content of learning the knowledge point 2 first and then the teaching content of learning the knowledge point 3. When the teaching elements corresponding to the teaching contents of the knowledge point 2 are arranged according to the preset display logic sequence, the teaching elements are a teaching element group 1, a teaching element group 3 and a teaching element group 2 in sequence. Therefore, the scheduler can determine, according to the preset presentation logic order of the multiple teaching elements of the section of english class, that all the teaching elements in the teaching element group 1 of the knowledge point 2 are at least one teaching element to be presented in this step, where all the teaching elements in the teaching element group 1 can be displayed at the client at the same time, that is, the initial display time is the same.
In addition, if the client has not learned the section of english lesson, the value of the teaching progress is 0, and therefore, the display will be started from at least one teaching element corresponding to the first teaching content to be learned of the knowledge point 1.
Optionally, step 104, obtaining a preset presentation time length for each teaching element in the at least one teaching element;
for example, if the teaching content of the teaching element is a topic, a student needs a period of time to understand the topic and solve the topic, so that a longer presentation time length can be set for the teaching element of the topic.
The preset display time lengths of different teaching elements in the at least one teaching element can be the same or different, and the specifically set display time length of each teaching element can be related to the difficulty level of the corresponding teaching content.
Step 105, sending the at least one teaching element to the client to enable the client to display the at least one teaching element;
the at least one teaching element sent to the client can comprise any one or more types of teaching elements, so that the client can completely display the teaching elements after receiving the teaching elements, and students at the client can learn conveniently.
Taking the above example of the english lesson as an example, at least one teaching element sent here is all teaching elements in the teaching element group 1.
It should be noted that, in the present invention, for the teaching element sent to the client to make it present the teaching element, the presentation representation of the static teaching element is presented, and the presentation representation of the dynamic teaching element is played.
In addition, when the at least one teaching element includes a plurality of teaching elements, that is, when there are a plurality of teaching elements sent to the client at one time, the presentation positions of the plurality of teaching elements on the teaching interface of the client may be different, may also be partially overlapped, or completely overlapped, which is not limited in this invention. In addition, when different teaching elements are displayed, display time points between the teaching elements (for example, a teaching video clip can also be displayed when a PPT is displayed), and display spaces on the teaching interface can be overlapped.
The teaching elements which are sent to the client at one time and need to be displayed can be one or more, and a display logic sequence is not set between the one or more teaching elements to be displayed by default, so that the one or more teaching elements to be displayed can be sent to the client at one time, and the client can display the teaching elements in the teaching interface at one time. Of course, if only one teaching element to be displayed is sent, only the one teaching element needs to be sent to the client.
Wherein, the client is the client to be taught.
Optionally, step 106, updating the teaching progress of the teaching course for the client to a first target position of the at least one teaching element in the preset presentation logic sequence;
after the teaching element is sent to the client once, the teaching progress of the teaching course of the client can be updated to the position where the teaching element (here, at least one teaching element) sent last is located in the preset presentation logic sequence, namely, the first target position.
Continuing with the example of the english lesson, the first target position here is the position of all the teaching elements corresponding to the teaching element group 1 in the preset presentation logical order.
Optionally, in step 107, if a target learning result from the client in response to the at least one teaching element is not received, and the time length that each teaching element in the at least one teaching element is sent to the client reaches the respective presentation time length, determining, according to the preset presentation logic sequence and the teaching progress of the teaching course, at least one teaching element to be presented, which is arranged behind the target position, in the plurality of teaching elements.
Wherein, after at least one teaching element is sent to the client, for example, the teaching element 1 and the teaching element 2 are included in the teaching element group 1, and the preset presentation time lengths thereof are T1 and T2, respectively, the countdown with the time lengths of T1 and T2 can be performed from the time point when the teaching element 1 and the teaching element 2 are sent to the client, when both countdown are finished, that is, the time length of each teaching element in the at least one teaching element sent to the client reaches the respective presentation time length, and if a target learning result (i.e., the feedback below) is not received from the client, it is indicated that the next group or one teaching element can continue to be presented, and therefore, according to the preset presentation logic sequence and the teaching progress of the teaching course (i.e., the updated teaching progress, here, the position of the teaching element group 1 in the preset presentation logical order), at least one teaching element to be presented, which is arranged behind the first target position, of the plurality of teaching elements is determined (the at least one teaching element to be presented, which is determined here, is the teaching element 3 arranged behind the teaching element group 1), and then, the step 104 to the step 107 are continuously executed in a loop for the at least one teaching element to be presented, which is determined again.
Thus, the embodiment of the invention respectively configures the presentation time length for each teaching element of the teaching course in advance, and then starts to count down when each teaching element is sent to the client, under the condition that the sending time lengths of the teaching elements sent to the client all reach the preset showing time length of the teaching elements, if a target learning result is not received from the client in response to the at least one tutorial element, at least one teaching element arranged after the last transmitted at least one teaching element in the preset display logic sequence is transmitted to the client side, the transmission method is similar to the transmission mode of the last group of at least one teaching element, therefore, the teaching time length can be flexibly set according to the teaching elements of different teaching contents, the teaching is prevented from being influenced by too fast or too slow display of the teaching elements, and the time for students to understand the teaching contents is given; and a plurality of teaching elements are configured in advance in the teaching course, and a preset display logic sequence is configured for the plurality of teaching elements, so that the robot teacher can be used for automatically teaching the plurality of teaching elements corresponding to different teaching contents on line without the intervention of a real teacher. Even if the client-side student faces the real teacher, the intelligent teaching content given by the intelligent teaching device can still be learned, and the teaching process does not depend on the real teacher any more, so that the teaching cost is saved.
In one embodiment, after step 105, the method according to the embodiment of the present invention may further include step 108, step 109:
step 108, if a target learning result responding to the at least one teaching element is received from the client, determining a first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, according to the preset display logic sequence;
when the student at the client sees the teaching interface or hears the displayed at least one teaching element, feedback can be given, namely a target learning result responding to the at least one teaching element. The executor may receive the learning result of the at least one teaching element presented by the student of the client and forward the learning result to the scheduler.
It should be noted that the target learning result in response to the at least one teaching element described herein refers to the feedback input of the client user after the client presents the at least one teaching element and before other teaching elements are presented, and is not necessarily directed to the teaching element in the at least one teaching element. Thus, in various embodiments, the feedback input may or may not be for one or more of the at least one tutorial elements.
The types of the target learning result include, but are not limited to, a voice (audio), a text input by hardware such as a keyboard/mouse/touch, a video, and the like.
After receiving a target learning result of the user on at least one teaching element fed back by the executor, the scheduler may determine, according to the preset presentation logic sequence, a first target teaching element, which is a teaching element in the plurality of teaching elements of the teaching course and is used for responding to the target learning result, where the first target teaching element may be one or more teaching elements; in addition, the first target teaching element may be a teaching element (i.e., a displayed teaching element) that has already been learned by the client among the plurality of teaching elements, or may be a teaching element (i.e., an undisplayed teaching element) that has not been learned by the client among the plurality of teaching elements.
Step 109, sending the first target teaching element to the client so that the client displays the first target teaching element.
After step 109, receiving a target learning result from the client in response to the first target teaching element, and taking the first target teaching element as the at least one teaching element to continue to execute steps 108 to 109; if the time length of the first target teaching element sent to the client has reached the preset presentation time length of the first target teaching element and no target learning result is received from the client in response to the first target teaching element, the step 107 is continued with the first target teaching element as the at least one teaching element.
By means of the technical scheme of the embodiment of the invention, after at least one teaching element is sent to the client for display, the embodiment of the invention can receive the target learning result of the client for the at least one teaching element, thereby determining the first target teaching element in the plurality of teaching elements for responding to the target learning result, and continuously sending the first target teaching element to the client for display, so that the teaching content displayed by the client can be flexibly adjusted according to the learning result fed back by the client, even if the client student faces a non-real teacher, the intelligent teaching content given by the intelligent teaching device can still be learned, the robot teacher can interact with the students of each client for teaching, the real teacher does not need to be hired, and the teaching cost is saved.
Alternatively, in one embodiment, then, when determining the first target teaching element of the plurality of teaching elements for responding to the target learning result according to the preset presentation logic sequence in step 108 is executed, as shown in fig. 5, it may be implemented by the following steps:
s301, judging whether a learning object of the target learning result exists in the at least one teaching element;
the target learning result of any embodiment of the present invention refers to feedback information of at least one teaching element presented by the client after the client student sees/hears the at least one teaching element, where the feedback information may include video information collected by a camera of the client and/or user voice collected by a microphone of the client and/or text information input by the user in a teaching interface of the client through a hardware device.
For the learning object of the target learning result, the learning object represents the teaching element given feedback information by the user in at least one teaching element presented by the client.
However, it should be noted that not all feedback information corresponds to a learning object, for example, the video input corresponding to yawning by the user, and the feedback information indicating inattention does not have a learning object.
After receiving the target learning result of the client, the scheduler may first determine feedback given by the target learning result for the teaching element of the at least one teaching element (i.e., a learning result given by learning the teaching element of the at least one teaching element with a learning object therein), or feedback not given for any teaching element of the at least one teaching element (i.e., without any learning object therein).
Optionally, in one embodiment, when performing S301, it may be implemented by S11 to S13:
s11, performing identification analysis on the target learning result to determine a target learning state;
wherein the process of identifying and analyzing may be implemented by a scheduler.
As described above, the types of target learning results may include, but are not limited to, speech (audio), keyboard/mouse/touch, etc. hardware input text, video, etc.
The different types of learning results are also different in recognition and analysis manner, and the target learning result is converted into a machine-recognizable target learning state by performing recognition and analysis on the target learning result, where the different types of target learning results are respectively explained.
Wherein, when executing S11, it can be implemented by:
when the target learning result comprises video data, carrying out face and/or user preset actions and/or preset expression detection on the video data in the target learning result, and determining a target learning state according to the detection result;
specifically, the face detection can be performed on the video data received from the client, so as to judge whether a student user is in front of the screen of the client device, and if not, the target learning state comprises a state that the user is not in class;
the method can also detect preset actions (such as hand lifting, yawning, nodding, head shaking and the like) of the user on the video data received from the client, so as to judge whether the user has limb actions such as hand lifting, yawning, nodding, head shaking and the like, and determine that the target learning state comprises a state of wanting to answer a question (corresponding to hand lifting actions), and/or a state of inattention (corresponding to yawning actions), and/or a state of understanding (corresponding to nodding actions), and/or a state of not understanding (corresponding to head shaking actions);
preset expressions (e.g., suspicious expressions, distressing expressions, happy expressions, etc.) may also be detected from the video data received from the client, thereby determining a target learning state including an unintelligible state (corresponding to the suspicious expressions, distressing expressions), or an comprehension state (corresponding to the happy expressions).
In addition, tracking and monitoring of the eye sight direction of the user can be carried out on the video data of the receiving sub-client, whether the eye direction is in the screen direction of the client or not is determined, and if not, the target learning state including the state of inattention is determined.
Thus, when the client is after presenting the at least one tutorial element of step 105, if a video data feedback is received from the client, it can be analyzed for machine understandable state representations, such as the various target learning states described above;
when the target learning result comprises audio data, performing voice recognition on the audio data in the target learning result, and determining a target learning state according to a voice recognition result;
specifically, after at least one teaching element is displayed, if audio data from a client is received, namely a user speaks, voice recognition can be performed on the received audio data, so that the semantic meaning of the user spoken is determined, if the semantic matching degree of the semantic meaning and the semantic meaning of any one teaching element in the displayed at least one teaching element is smaller than a preset threshold value, the spoken meaning of the user is irrelevant to the teaching content displayed on a screen, and a target learning state including an attention-inattention state is determined; on the contrary, if a teaching element with the semantic matching degree with the user's speech being greater than or equal to the preset threshold exists in the at least one teaching element, it is described that the user's speech is related to the teaching content displayed on the screen, and the semantic of the user's speech can be taken as the target learning state, where the target learning state belongs to the preset learning state.
And when the target learning result comprises text data, performing semantic understanding on the text data in the target learning result, and determining a target learning state according to the understood semantics.
Specifically, after at least one tutorial element is presented, if text data input from a client is received, for example, hardware input such as a keyboard, a mouse, a touch, and the like, the received text data may be semantically understood, so that the understood semantics are taken as a target learning state, where the target learning state belongs to a preset learning state.
For example, at least one displayed teaching element comprises a choice question and/or a reading word question and/or a blank question, the user answers the question in the teaching interface and inputs an answer, so that the semantic meaning understood by the text of the input answer is the target learning state.
In which, whether the questions in the teaching elements are questions that require the user to input open answers (i.e. the answers are not unique), such as student sentence making, blank filling questions or question and answer questions, or questions that require the user to input closed answers (i.e. the answers are uniquely determined), such as student reading words, student reading lessons, student making choice questions or line connecting questions, etc. The identified semantics of the answer may be used as the target learning state for the user.
The number of the received target learning results is not limited to one, and the types may be multiple, so that after the above-mentioned identification analysis is performed on the target learning results, the number of the determined target learning states may also be one or more. Wherein, no matter the information fed back by the user is audio, video or text, the embodiment of the invention can convert the information into the target learning state which can be understood by the teaching device of the embodiment of the invention.
In summary, for the input of different types of target learning results, the target learning results are first converted into machine-recognizable state representation, i.e., target learning state (for example, the input of nodding motion is converted into machine-recognizable nodding state xxx1 g); the embodiment of the invention classifies the learning states in advance into a preset non-learning state (namely, a plurality of learning states without learning objects) and a preset learning state (namely, a plurality of learning states with learning objects); then, whether the target learning state corresponding to the target learning result of the user belongs to the preset learning state or the preset unlearned state can be determined according to the preset learning state and the preset unlearned state.
S12, if the target learning state belongs to a preset non-learning state, determining a learning object without the target learning result in the at least one teaching element;
since the target learning state may include a plurality of target learning states, when all of the plurality of target learning states belong to the preset unlearned state, it is determined that the target learning state of the target learning result belongs to the preset unlearned state, and therefore, the at least one teaching element does not have a learning object of the target learning result.
The preset unlearned state represents a state that the user is not listening to the phone, which may include, but is not limited to, the above-mentioned user unlearned state, the inattentive state, and the like.
And S13, if the target learning state belongs to a preset learning state, determining a learning object with the target learning result in the at least one teaching element.
Since the target learning state may include one or more, when the plurality of target learning states are received after the at least one teaching element is presented, and at least one of the plurality of target learning states is determined to belong to the preset learning state, the target learning state of the target learning result may be determined to belong to the preset learning state, and thus, the at least one teaching element has the learning object of the target learning result.
Wherein the preset learning state represents a state that the user is listening and speaking, which may include but is not limited to a state that the user wants to answer a question, an understanding state, an unintelligible state, a user voice semantically matching the presented teaching element (and/or semantics of the voice), semantics of the text input by the user.
Therefore, the embodiment of the invention carries out recognition analysis on the result fed back by the user aiming at the displayed at least one teaching element, namely the target learning result, thereby converting the result into the state representation which can be recognized by a machine, namely the target learning state; then, the target learning state is matched with a state of a preset learning state and a preset unlearned state, respectively, thereby determining whether the target learning state belongs to the preset learning state or the preset unlearned state. If the preset learning state is reached, the learning object exists in the at least one teaching element, and if the preset non-learning state is reached, the learning object does not exist in the at least one teaching element.
If yes, S302, determining a learning object of the target learning result in the at least one teaching element, wherein the learning object is marked as a second target teaching element;
when the feedback of the user is directed to the teaching element in the at least one teaching element, it needs to be determined to which teaching element in the at least one teaching element the feedback of the user is directed, that is, which teaching element in the at least one teaching element is taken as a learning object to learn, so as to give a target learning result. Here, the determined learning object is denoted as a second target teaching element.
Optionally, in an embodiment, when performing S302, the following may be implemented:
and determining a learning object of the target learning result in the at least one teaching element according to the data type of the target learning result and/or according to teaching element information operated by a user in a teaching interface of the client when the target learning result is generated.
As described above, the types of target learning results may include video, audio, text, and the like.
It may be determined which teaching element of the presented at least one teaching element the target learning result is fed back to according to the type of the target learning result, i.e. the feedback manner.
Specifically, when there are two or more teaching elements requiring user response in the at least one displayed teaching element, the feedback modes of the different teaching elements requiring user response are different. Therefore, it can be determined which teaching element of the at least one teaching element has the same user feedback mode as the target learning result, and the teaching element is the second target teaching element.
For example, if the response mode of the received target learning result is voice input, it can be determined that the feedback of the user is directed to the teaching element a.
And/or, according to the teaching element information operated by the user in the teaching interface of the client when the target learning result is generated, for example, the at least one teaching element displayed by the teaching interface is a choice, and the user responds to the choice with a mouse, and the operated teaching element is the choice (for example, a PPT), so that the learning object of the target learning result in the at least one teaching element can be determined as the choice.
In this way, when it is determined that the learning object of the target learning result exists in the at least one teaching element displayed by the client, the embodiment of the present invention may accurately determine which teaching element of the at least one displayed teaching element the learning result fed back by the user is directed to according to the type of the target learning result and/or according to the teaching element information operated by the user in the teaching interface of the client when the target learning result is generated.
And S303, determining a first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, according to the corresponding relation between different learning results of the second target teaching element and different first teaching elements, which are configured in advance in the preset display logic sequence.
Taking the above embodiment of fig. 3 as an example, the displayed at least one teaching element is a recorded broadcast video clip of "display topic and teacher's reading", after the video display is completed, an audio clip of prompting students to answer questions by the robot teacher is displayed, and a result of the student answering (i.e., a target learning result) is collected, where a learning object of the target learning result is the recorded broadcast video clip of "display topic and teacher's reading", and then this recorded broadcast video clip is the second target teaching element.
Wherein, the preset display logic sequence of the plurality of teaching elements of the course is preset with the corresponding relation between different learning results of the second target teaching element and different first teaching elements:
the answer result of the recorded and broadcast video (namely the second target teaching element) is the corresponding relation between A (learning result 1) and the voice/video segment (the first teaching element 1) telling students to answer the answer; the answer result of the recorded and broadcast video is the corresponding relation between B (learning result 2) and the voice/video segment (first teaching element 2) of the teacher explaining the error option 1; the answer result of the recorded and broadcast video is the corresponding relation between C (learning result 3) and the voice/video segment (first teaching element 3) of the teacher explaining the error option 2; the answer result of the recorded and broadcast video is the corresponding relation between the overtime unanswered question (learning result 4) and the voice/video segment (first teaching element 4) of the question analyzed by the teacher to guide the student to answer;
then if the target learning result is selection a, then the next tutorial element to be presented can be determined to be the voice/video clip telling the student that he or she answered (i.e., the first target tutorial element).
The first target teaching element is one of the teaching elements, which may be different from any one of the at least one teaching element, or may be selected from one of the at least one teaching element.
In this way, after the at least one teaching element is displayed, the target learning result fed back by the user is specific to a second target teaching element in the at least one teaching element, and when it is determined which teaching element is to be displayed to respond to the target learning result, the first target teaching element corresponding to the target learning result can be determined according to the corresponding relationship between different learning results of the second target teaching element preset in the preset display logic sequence and different first teaching elements, so that the first target teaching element is sent to the client to be displayed, and the teaching element displayed again is related to the target learning result fed back by the user. When the learning results fed back by different clients are different, different teaching elements can be returned to different clients according to different learning results, so that the teaching contents of different clients are closely related to the learning conditions of the clients; similarly, for the same client, if for a second target teaching element to be responded, the different feedback results of the second target teaching element can also make the subsequent teaching contents different, so that the intelligent teaching can flexibly adjust the teaching contents according to the learning state of the student, and the learning efficiency is improved.
Optionally, in an embodiment, when S303 is executed, according to a correspondence relationship between different learning states of the second target teaching element and different first teaching elements, which are configured in advance in the preset presentation logic sequence, the first target teaching element corresponding to the target learning state may be determined as a first target teaching element, which is used for responding to the target learning result, in the plurality of teaching elements.
As described in the foregoing embodiment, since the target learning result is a video, an audio, or a text, and the teaching apparatus according to the embodiment of the present invention needs to recognize and analyze the target learning result into a state representation understandable by a machine, and therefore, the correspondence configured in advance in the preset presentation logic sequence is substantially the correspondence between different learning states (machine representations corresponding to different learning results) of the second target teaching element and different first teaching elements, so that the first target teaching element corresponding to the target learning state can be determined as the first target teaching element in the plurality of teaching elements for responding to the target learning result by looking up the correspondence.
When the target learning states include a plurality of target learning states, the first target teaching element corresponding to each target learning state may be searched in the correspondence relationship for the plurality of target learning states, respectively, as described in the above embodiment.
For example, the target learning state includes a question to be answered, for example, the first target teaching element in the corresponding relationship corresponding to the question to be answered is an audio clip for asking for a classmate to answer, and the audio clip is sent to the client; for example, the target learning state includes an unappreciated state, and for example, the first target teaching element corresponding to the unappreciated state of the second target teaching element in the correspondence is an audio clip in which the robot teacher answers the second target teaching element, the audio clip may be sent to the client.
Optionally, if not, S304 determines a third target teaching element corresponding to the target learning state according to a preset unlearned state and a corresponding relationship between different third teaching elements, which are pre-configured in the preset presentation logic sequence;
s305, determining the third target teaching element in the plurality of teaching elements as the first target teaching element for responding to the target learning result.
After S301, if it is determined that there is no learning object of the target learning result in the at least one teaching element, that is, the target learning states corresponding to the target learning result fed back by the client all belong to preset unlearned states, different third teaching elements (for example, an inattentive state corresponds to an audio clip whose semantic meaning is please note and listen to the speech) respectively used for responding to different preset unlearned states are predefined in the preset display logic sequence of the plurality of teaching elements of the course, so that the third target teaching element corresponding to the target learning state in the plurality of teaching elements can be determined as the first target teaching element responding to the target learning result (whose machine is represented as the target learning state) in the next step.
Therefore, when the target learning state (the state of inattention) corresponding to the target learning result (the video of yawning by the user and the video of the user not opposite to the computer screen) fed back by the user of the client belongs to the preset non-learning state after the client displays at least one teaching element, the method provided by the embodiment of the invention can send the third target teaching element corresponding to the target learning state to the client for displaying, so that the teaching elements such as audio for reminding the student of listening and speaking are displayed in time under the condition that the user keeps on hearing and speaking, and the effect of monitoring the classroom learning state can be achieved even if no real teacher exists.
Optionally, in an embodiment, after step 109, the method according to an embodiment of the present invention may further include:
and updating the teaching progress of the teaching course aiming at the client to be a second target position of the first target teaching element in the preset display logic sequence.
After the first target teaching element displayed next time is adjusted according to the learning result of the user of a certain client, the method of the embodiment of the invention can also update the teaching progress of the teaching course of the client to the second target position of the first target teaching element displayed next time in the teaching flow (namely, the preset display logic sequence) of the teaching course, so that the teaching progress of each client can be recorded in real time in the intelligent teaching process, the problem of restarting of next teaching caused by interruption of teaching due to unexpected reasons is avoided, and the progress recording accuracy of intelligent teaching is improved.
Optionally, in an embodiment, after step 109, the method according to an embodiment of the present invention may further include:
counting the number N of target learning results aiming at the plurality of teaching elements, wherein N is a positive integer;
in the teaching process of the teaching course, the same client can feed back teaching elements displayed by the client every time, so that multiple feedbacks can be accumulated, and multiple target learning results can be obtained, wherein the multiple target learning results can be multiple feedbacks performed on the teaching elements in the same teaching interface, and can also be multiple feedbacks performed on the teaching elements in different teaching interfaces. Therefore, after the first target teaching element determined based on the target learning result of the user is sent to the client for display each time, the method according to the embodiment of the present invention counts the total number of learning feedbacks (i.e. the total number of target learning results), that is, N, given by the user of the client in the current course up to now.
Note that the same learning object may have a plurality of target learning results, and therefore, the number N of target learning results is greater than or equal to the number of learning objects.
Determining the number M of wrong learning results which are not matched with the preset learning results of the corresponding learning objects in the N target learning results, wherein M is more than 0 and less than or equal to N, and M is an integer;
in the teaching process, some teaching elements (i.e. learning objects) have preset learning results, for example, various test questions (i.e. learning objects) have correct answers (preset learning results), and some teaching elements do not have preset learning results.
The test questions may include test questions with open answers (e.g., student sentences, blank filling questions, or question and answer questions), and test questions with closed answers (e.g., student reading words, student reading lessons, student making choice questions, or connection questions). For the test question with the open answer, a correct answer can be configured in advance as a preset learning result, and then all answers with the semantics matched with the correct answer belong to the correct answer of the test question.
Therefore, the number of target learning results, M here, that have a learning object in the N target learning results currently fed back by the client and the target learning results (which may be the converted machine representation, i.e., the above target learning state) do not semantically match the preset learning results of the learning object can be calculated.
For example, through multiple loop execution of the method in the embodiment of fig. 1, the user of the client a all feeds back 5 questions and makes 3 wrong answers, where N is 5 and M is 3.
If the N/M is larger than a preset threshold value, determining a first knowledge point to which a first target teaching element which is sent to the client terminal at the latest time belongs according to the teaching progress of the teaching course aiming at the client terminal;
if N/M is greater than the preset threshold, it indicates that the answer error rate of the client user is higher, so the knowledge point to which the first target teaching element learned most recently belongs, that is, the first knowledge point, may be determined by means of the teaching progress of the client on the teaching course recorded in the above embodiment.
As shown in the embodiment shown in fig. 1, the teaching contents of the teaching lesson of the invention are laid out from low to high according to the difficulty of knowledge points. In addition, the teaching content of each knowledge point not only comprises a teaching video clip, but also comprises the test questions of the knowledge point. Moreover, the same knowledge point may be preset with multiple sets of subjects with different first difficulty coefficients (i.e., multiple sets of teaching elements described below). For example, the knowledge points are addition and subtraction methods, but the test questions of the addition and subtraction methods can have multiple groups, and the difficulty of the groups is different. In a teaching course, only one group of questions can be configured for a knowledge point, and a plurality of groups of questions with the first difficulty coefficient from low to high can also be configured. Each group of topics of one knowledge point in the teaching outline library is configured with a numerical value of a first difficulty coefficient.
Determining a first target difficulty coefficient of a first target teaching element which is sent to the client at the latest time according to different first difficulty coefficients of a plurality of groups of teaching elements of the first knowledge point which are configured in advance;
the difficulty of the first target teaching element learned last by the client in the test questions with different difficulties in the first knowledge point can be determined.
Replacing teaching elements corresponding to the first target difficulty coefficient in the plurality of teaching elements of the teaching course aiming at the client with target group teaching elements of which the difficulty coefficients are lower than the first target difficulty coefficient in the plurality of groups of teaching elements.
The teaching element(s) belonging to the first target difficulty coefficient and related to the first knowledge point in the teaching elements of the teaching course can be replaced by the target group teaching element of which the difficulty coefficient of the first knowledge point is lower than the first target difficulty coefficient. The target group teaching elements with a few levels of specific selection difficulty can be selected according to the preset configuration, and are not limited here.
Therefore, when the difficulty of the user of the client for the teaching content of the teaching course is not acceptable, the method provided by the embodiment of the invention can replace the teaching element of the knowledge point learned last time with the teaching element with the knowledge point with lower difficulty so as to meet the learning ability of students of different clients.
Optionally, in an embodiment, after determining, according to the teaching progress of the teaching course for the client, a first knowledge point to which a first target teaching element that is sent to the client last time belongs if N/M is greater than a preset threshold, the method according to the embodiment of the present invention may further include:
determining a second target difficulty coefficient corresponding to the first knowledge point according to different second difficulty coefficients corresponding to a plurality of pre-configured knowledge points of the teaching course;
as described in the embodiment of fig. 1, the difficulty of the knowledge points in a teaching course is different, for example, the difficulty of the knowledge points from low to high are respectively addition, subtraction, multiplication, division, and four mixed operations. The difficulty coefficients of the knowledge points are marked by second difficulty coefficients so as to be convenient for distinguishing the difficulty coefficients of teaching elements (such as test questions) with different difficulties of the same knowledge point.
The difficulty coefficient of the first knowledge point, namely the second target difficulty coefficient, can be searched from different second difficulty coefficients of a plurality of knowledge points of the teaching course which are configured in advance. Therefore, the difficulty of the knowledge point corresponding to the last learned content of the current client can be determined.
Replacing teaching elements of the first knowledge point of the teaching course for the client with teaching elements of target knowledge points of the plurality of knowledge points having difficulty coefficients lower than the second target difficulty coefficient.
Because the difficulty of the client for the teaching content of the knowledge point is not acceptable, for example, the teaching content of multiplication-division method of the course can be replaced by the teaching content of addition-subtraction method when learning multiplication-division method at present.
Similarly to the above-described embodiment, the target knowledge point may be a knowledge point whose difficulty coefficient is lower than that of the first knowledge point by one or two levels, as long as it is lower than that of the first knowledge point, and the lower difficulty coefficients may be preconfigured, and are not limited here.
Therefore, when the difficulty of the user of the client for the teaching content of the teaching course is not acceptable, the method provided by the embodiment of the invention can replace the teaching element of the knowledge point learned last time with the teaching element of the target knowledge point with the difficulty lower than that of the knowledge point, namely, the difficulty of the knowledge point of the teaching content is reduced, so that the learning ability of students of different clients is met.
Optionally, in another embodiment, if N/M is less than or equal to the preset threshold, it indicates the difficulty that the client may accept the current teaching content, and continues to present the next first target teaching element according to the preset presentation logic sequence.
The teaching method of the embodiment of the invention is briefly described in the following with several specific examples.
The technical scheme is applied to reading and following practice in English/Chinese teaching as an example.
In the reading and following exercise, the scheduler selects a text (which may be an english letter, an english word or phrase, an english or a chinese word, or a chinese), and the executor outputs the reading of the teacher corresponding to the text and requests the students to read (or may not have the reading of the teacher and only request the students to read). The executor receives the voice input of the student and converts the voice input into a state representation which can be understood by a machine, and the scheduler selects a section of teaching element according to the state representation (for example, the student pauses in the reading process, the scheduler judges that the student encounters an unknown word, and the scheduler selects a section of teaching element with pronunciation and paraphrase of the word and delivers the teaching element to the executor for output); when the dispatcher judges that the student finishes reading, the dispatcher calculates the pronunciation correctness, the reading integrity and the fluency of the student, selects the teaching elements of pronunciations and paraphrases of words and sentences with inaccurate pronunciations or unhygienic words and sentences (or the teaching elements of pronunciations and paraphrases of words and sentences missed from reading) of the student, and transmits the teaching elements to the executor for output.
In the embodiment of the invention, the reading condition of each student is concerned, the reading process can be assisted, and errors can be corrected.
The application of the technical scheme in mathematical teaching is taken as an example.
In the mathematical teaching, a scheduler selects a knowledge point and a batch of example questions corresponding to the knowledge point, each example question corresponds to a batch of teaching elements, and the teaching elements comprise analysis and explanation of the example questions, question asking by teachers in the analysis process of the example questions, and responses of the teachers under various answering conditions of the students. The dispatcher selects an example question according to a preset sequence and starts the teaching process of the example question.
The dispatcher starts the teaching of the example, the actuator outputs the teaching elements of the example, receives the voice input, the video input and the text input of the student and converts the voice input, the video input and the text input into the state representation which can be understood by the machine; the scheduler selects a section of teaching element according to the state representation and the preset display logic sequence (for example, when the student answers the question, an error occurs, the teaching scheduler selects a section of teaching element for explaining the question in detail, and the teaching element is delivered to the executor for output); and repeating the process until the teaching of the example question reaches an end state.
After each example question reaches the end state, the dispatcher judges the acceptance degree of the student to the example question according to the difficulty coefficient of the example question and the performance of the student in the teaching process (including correctness, speed and the like in the answering interaction process), and selects the example questions (or contents) for follow-up teaching in real time according to the acceptance degree.
In the embodiment of the invention, the difficulty of the subsequent teaching contents can be adjusted in real time according to the receptivity of students to the teaching contents.
The application of the technical scheme in various discipline teaching is taken as an example.
In teaching, a scheduler starts reading an article, outputs teaching elements of the article by an actuator, receives voice input, video input and/or text input of a student and converts the voice input, the video input and/or the text input into a state representation which can be understood by a machine; the scheduler selects a section of teaching elements according to the state representation (for example, in the process of displaying a section of teaching elements, students raise their hands or click a certain button to ask a question, the executor stops the display of the current teaching elements after receiving the feedback of the students and allows the students to ask the question, the state representation which can be understood by the machine is converted after receiving the questioning content of the students, the scheduler selects a proper teaching element according to the state to insert the teaching element into the display, and the interrupted teaching element is still continuously output after the output of the section of teaching element is finished); and repeating the process until the teaching of the example question reaches an end state.
In embodiments of the present invention, students are allowed to proactively interrupt the teaching process and ask questions.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Corresponding to the method provided by the embodiment of the present invention, referring to fig. 6, a structural block diagram of an embodiment of a teaching apparatus of the present invention is shown, which may specifically include the following modules:
the first obtaining module 61 is configured to obtain a preset display logic sequence among a plurality of teaching elements corresponding to a teaching course to be learned;
a second obtaining module 62, configured to obtain a teaching progress of the teaching course for a client to be taught;
a first determining module 63, configured to determine at least one teaching element to be presented in the multiple teaching elements according to the preset presentation logic sequence and the teaching progress of the teaching course;
a first sending module 64, configured to send the at least one tutorial element to the client so that the client presents the at least one tutorial element;
a second determining module 65, configured to, if a target learning result from the client is received, determine, according to the preset display logic sequence, a first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result;
a second sending module 66, configured to send the first target teaching element to the client, so that the client displays the first target teaching element.
Optionally, the second determining module 65 includes:
the judgment submodule is used for judging whether a learning object of the target learning result exists in the at least one teaching element;
the first determining submodule is used for determining a learning object of the target learning result in the at least one teaching element if the judging submodule judges that the learning object of the target learning result exists in the at least one teaching element, wherein the learning object is marked as a second target teaching element;
and the second determining submodule is used for determining the first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, according to the corresponding relation between different learning results of the second target teaching element and different first teaching elements, which are pre-configured in the preset display logic sequence.
Optionally, the determining sub-module includes:
the analysis unit is used for carrying out recognition analysis on the target learning result and determining a target learning state;
the first determining unit is used for determining a learning object without the target learning result in the at least one teaching element if the analyzing unit determines that the target learning state belongs to a preset unlearned state;
the second determining unit is used for determining a learning object with the target learning result in the at least one teaching element if the analyzing unit determines that the target learning state belongs to a preset learning state;
the second determining submodule is further configured to determine, according to a correspondence between different learning states of the second target teaching element and different first teaching elements, which are pre-configured in the preset presentation logic sequence, a first target teaching element corresponding to the target learning state as a first target teaching element, which is used for responding to the target learning result, among the plurality of teaching elements.
Optionally, the analysis unit comprises:
the video detection subunit is used for carrying out face detection, and/or user preset action and/or preset expression detection on the video data in the target learning result when the target learning result comprises the video data, and determining a target learning state according to the detection result;
the voice detection subunit is used for performing voice recognition on the audio data in the target learning result when the target learning result comprises the audio data, and determining a target learning state according to the voice recognition result;
and the text detection subunit is used for performing semantic understanding on the text data in the target learning result when the target learning result comprises the text data, and determining a target learning state according to the understood semantic meaning.
Optionally, the first determining sub-module is further configured to determine a learning object of the target learning result in the at least one teaching element according to a data type of the target learning result and/or according to teaching element information operated by a user in a teaching interface of the client when the target learning result is generated.
Optionally, the second determining module 65 further includes:
a third determining sub-module, configured to determine, if the determining sub-module determines that the learning object of the target learning result does not exist in the at least one teaching element, a third target teaching element corresponding to the target learning state according to a correspondence between a preset unlearned state and a different third teaching element, where the correspondence is pre-configured in the preset presentation logic sequence;
a fourth determination sub-module for determining the third target teaching element among the plurality of teaching elements as the first target teaching element for responding to the target learning result.
Optionally, the apparatus further comprises:
and the second updating module is used for updating the teaching progress of the teaching course aiming at the client to be a second target position of the first target teaching element in the preset display logic sequence.
Optionally, the apparatus further comprises:
the counting module is used for counting the number N of target learning results aiming at the plurality of teaching elements, wherein N is a positive integer;
the third determining module is used for determining the number M of wrong learning results which are not matched with the preset learning result semanteme of the corresponding learning object in the N target learning results, wherein M is more than 0 and less than or equal to N, and M is an integer;
the fourth determining module is used for determining a first knowledge point to which a first target teaching element which is sent to the client at the latest time belongs according to the teaching progress of the teaching course aiming at the client if the N/M is larger than a preset threshold;
a fifth determining module, configured to determine, according to different first difficulty coefficients of multiple groups of teaching elements of the first knowledge point configured in advance, a first target difficulty coefficient of the first target teaching element that was sent to the client last time;
the first replacing module is used for replacing teaching elements of the first target difficulty coefficient corresponding to the first knowledge point in the plurality of teaching elements of the teaching course aiming at the client with target group teaching elements of which the difficulty coefficients are lower than the first target difficulty coefficient in the plurality of groups of teaching elements.
Optionally, the apparatus further comprises:
a sixth determining module, configured to determine, according to different second difficulty coefficients corresponding to multiple knowledge points of the pre-configured teaching course, a second target difficulty coefficient corresponding to the first knowledge point;
and the second replacing module is used for replacing teaching elements of the first knowledge points of the teaching course for the client with teaching elements of target knowledge points with difficulty coefficients lower than the second target difficulty coefficient in the plurality of knowledge points.
Optionally, the apparatus further comprises:
the third acquisition module is used for acquiring the preset display time length of each teaching element in the at least one teaching element;
a first updating module, configured to update a teaching progress of the teaching course for the client to a first target position where the at least one teaching element is located in the preset presentation logical sequence;
a seventh determining module, configured to determine, if a target learning result from the client in response to the at least one teaching element is not received, and a time length that each teaching element in the at least one teaching element is sent to the client reaches a respective presentation time length, at least one teaching element to be presented, which is to be presented after the first target position in the plurality of teaching elements, according to the preset presentation logic sequence and the teaching progress of the teaching course.
For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description of the method embodiment, and the method embodiment may be taken as an implementation basis of the device embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, ordinal terms such as first and second, etc., are used merely to distinguish one entity or operation from another entity or operation without necessarily requiring or implying any actual such order or order between such entities or operations. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The teaching method and the teaching device provided by the invention are described in detail, and the principle and the implementation mode of the invention are explained by applying specific examples, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (18)

1. A teaching method, comprising:
acquiring a preset display logic sequence among a plurality of teaching elements corresponding to a teaching course to be learned, wherein the display time point and the display space of the teaching elements on a teaching interface can be overlapped;
acquiring the teaching progress of the teaching course for a client to be taught;
determining at least one teaching element to be displayed in the plurality of teaching elements according to the preset display logic sequence and the teaching progress of the teaching course;
sending the at least one teaching element to the client to enable the client to display the at least one teaching element;
if a target learning result responding to the at least one teaching element is received from the client, determining a first target teaching element used for responding to the target learning result in the plurality of teaching elements according to the preset display logic sequence, wherein the first target teaching element is a plurality of displayed or undisplayed teaching elements;
and sending the first target teaching element to the client so that the client displays the first target teaching element.
2. The method of claim 1,
the determining, according to the preset presentation logic sequence, a first target teaching element in the plurality of teaching elements for responding to the target learning result includes:
judging whether a learning object of the target learning result exists in the at least one teaching element;
if yes, determining a learning object of the target learning result in the at least one teaching element, wherein the learning object is marked as a second target teaching element;
and determining a first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, according to the corresponding relation between different learning results of the second target teaching element and different first teaching elements, which are pre-configured in the preset display logic sequence.
3. The method of claim 2, wherein said determining whether the at least one tutorial element has a learning object of the target learning result comprises:
performing identification analysis on the target learning result to determine a target learning state;
if the target learning state belongs to a preset non-learning state, determining a learning object without the target learning result in the at least one teaching element;
if the target learning state belongs to a preset learning state, determining a learning object with the target learning result in the at least one teaching element;
the determining, according to correspondence between different learning results of the second target teaching element and different first teaching elements preconfigured in the preset presentation logic sequence, a first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, includes:
and determining a first target teaching element corresponding to the target learning state as a first target teaching element in the plurality of teaching elements for responding to the target learning result according to the corresponding relation between different learning states of the second target teaching element and different first teaching elements, which are configured in advance in the preset display logic sequence.
4. The method according to claim 3, wherein the performing recognition analysis on the target learning result to determine a target learning state comprises:
when the target learning result comprises video data, carrying out face and/or user preset actions and/or preset expression detection on the video data in the target learning result, and determining a target learning state according to the detection result;
when the target learning result comprises audio data, performing voice recognition on the audio data in the target learning result, and determining a target learning state according to a voice recognition result;
and when the target learning result comprises text data, performing semantic understanding on the text data in the target learning result, and determining a target learning state according to the understood semantics.
5. The method of claim 2, wherein said determining a learning object of said target learning result in said at least one tutorial element comprises:
and determining a learning object of the target learning result in the at least one teaching element according to the data type of the target learning result and/or according to teaching element information operated by a user in a teaching interface of the client when the target learning result is generated.
6. The method of claim 3, wherein said determining a first target tutorial element of said plurality of tutorial elements to be used in response to said target learning result according to said predetermined presentation logic order further comprises:
if not, determining a third target teaching element corresponding to the target learning state according to a corresponding relation between a preset non-learning state and different third teaching elements which are configured in advance in the preset display logic sequence;
determining the third target teaching element of the plurality of teaching elements as the first target teaching element for responding to the target learning result.
7. The method of claim 2, wherein after sending the first target tutorial element to the client for the client to render the first target tutorial element, the method further comprises:
and updating the teaching progress of the teaching course aiming at the client to be the target position of the first target teaching element in the preset display logic sequence.
8. The method of claim 7, wherein after sending the first target tutorial element to the client for the client to render the first target tutorial element, the method further comprises:
counting the number N of target learning results aiming at the plurality of teaching elements, wherein N is a positive integer;
determining the number M of wrong learning results which are not matched with the preset learning result semantics of the corresponding learning object in the N target learning results, wherein M is more than 0 and less than or equal to N, and M is an integer;
if the N/M is larger than a preset threshold value, determining a first knowledge point to which a first target teaching element which is sent to the client terminal at the latest time belongs according to the teaching progress of the teaching course aiming at the client terminal;
determining a first target difficulty coefficient of a first target teaching element which is sent to the client at the latest time according to different first difficulty coefficients of a plurality of groups of teaching elements of the first knowledge point which are configured in advance;
replacing teaching elements of the first target difficulty coefficient corresponding to the first knowledge point in the plurality of teaching elements of the teaching course aiming at the client with target group teaching elements of which the difficulty coefficients are lower than the first target difficulty coefficient in the plurality of groups of teaching elements.
9. The method of claim 8, wherein if N/M is greater than a preset threshold, after determining a first knowledge point to which a first target teaching element that was sent to the client last time belongs according to the teaching progress of the teaching course for the client, the method further comprises:
determining a second target difficulty coefficient corresponding to the first knowledge point according to different second difficulty coefficients corresponding to a plurality of pre-configured knowledge points of the teaching course;
replacing teaching elements of the first knowledge point of the teaching course for the client with teaching elements of target knowledge points of the plurality of knowledge points having difficulty coefficients lower than the second target difficulty coefficient.
10. An instructional apparatus, comprising:
the teaching device comprises a first acquisition module, a second acquisition module and a display module, wherein the first acquisition module is used for acquiring a preset display logic sequence among a plurality of teaching elements corresponding to a teaching course to be learned, and the display time point and the display space of the teaching elements on a teaching interface can be overlapped;
the second acquisition module is used for acquiring the teaching progress of the teaching course of the client to be taught;
the first determining module is used for determining at least one teaching element to be displayed in the plurality of teaching elements according to the preset display logic sequence and the teaching progress of the teaching course;
the first sending module is used for sending the at least one teaching element to the client so that the client can display the at least one teaching element;
a second determining module, configured to determine, according to the preset presentation logic sequence, a first target teaching element used for responding to the target learning result in the plurality of teaching elements if a target learning result responding to the at least one teaching element is received from the client, where the first target teaching element is a plurality of teaching elements that are presented or not presented;
and the second sending module is used for sending the first target teaching element to the client so that the client can show the first target teaching element.
11. The apparatus of claim 10, wherein the second determining module comprises:
the judgment submodule is used for judging whether a learning object of the target learning result exists in the at least one teaching element;
the first determining submodule is used for determining a learning object of the target learning result in the at least one teaching element if the judging submodule judges that the learning object of the target learning result exists in the at least one teaching element, wherein the learning object is marked as a second target teaching element;
and the second determining submodule is used for determining the first target teaching element in the plurality of teaching elements, which is used for responding to the target learning result, according to the corresponding relation between different learning results of the second target teaching element and different first teaching elements, which are pre-configured in the preset display logic sequence.
12. The apparatus of claim 11, wherein the determining sub-module comprises:
the analysis unit is used for carrying out recognition analysis on the target learning result and determining a target learning state;
the first determining unit is used for determining a learning object without the target learning result in the at least one teaching element if the analyzing unit determines that the target learning state belongs to a preset unlearned state;
the second determining unit is used for determining a learning object with the target learning result in the at least one teaching element if the analyzing unit determines that the target learning state belongs to a preset learning state;
the second determining submodule is further configured to determine, according to a correspondence between different learning states of the second target teaching element and different first teaching elements, which are pre-configured in the preset presentation logic sequence, a first target teaching element corresponding to the target learning state as a first target teaching element, which is used for responding to the target learning result, among the plurality of teaching elements.
13. The apparatus of claim 12, wherein the analysis unit comprises:
the video detection subunit is used for carrying out face detection, and/or user preset action and/or preset expression detection on the video data in the target learning result when the target learning result comprises the video data, and determining a target learning state according to the detection result;
the voice detection subunit is used for performing voice recognition on the audio data in the target learning result when the target learning result comprises the audio data, and determining a target learning state according to the voice recognition result;
and the text detection subunit is used for performing semantic understanding on the text data in the target learning result when the target learning result comprises the text data, and determining a target learning state according to the understood semantic meaning.
14. The apparatus of claim 11,
the first determining submodule is further configured to determine a learning object of the target learning result in the at least one teaching element according to a data type of the target learning result and/or according to teaching element information operated by a user in a teaching interface of the client when the target learning result is generated.
15. The apparatus of claim 12, wherein the second determining module further comprises:
a third determining sub-module, configured to determine, if the determining sub-module determines that the learning object of the target learning result does not exist in the at least one teaching element, a third target teaching element corresponding to the target learning state according to a correspondence between a preset unlearned state and a different third teaching element, where the correspondence is pre-configured in the preset presentation logic sequence;
a fourth determination sub-module for determining the third target teaching element among the plurality of teaching elements as the first target teaching element for responding to the target learning result.
16. The apparatus of claim 11, further comprising:
and the updating module is used for updating the teaching progress of the teaching course aiming at the client to be the target position of the first target teaching element in the preset display logic sequence.
17. The apparatus of claim 16, further comprising:
the counting module is used for counting the number N of target learning results aiming at the plurality of teaching elements, wherein N is a positive integer;
the third determining module is used for determining the number M of wrong learning results which are not matched with the preset learning result semanteme of the corresponding learning object in the N target learning results, wherein M is more than 0 and less than or equal to N, and M is an integer;
the fourth determining module is used for determining a first knowledge point to which a first target teaching element which is sent to the client at the latest time belongs according to the teaching progress of the teaching course aiming at the client if the N/M is larger than a preset threshold;
a fifth determining module, configured to determine, according to different first difficulty coefficients of multiple groups of teaching elements of the first knowledge point configured in advance, a first target difficulty coefficient of the first target teaching element that was sent to the client last time;
the first replacing module is used for replacing teaching elements of the first target difficulty coefficient corresponding to the first knowledge point in the plurality of teaching elements of the teaching course aiming at the client with target group teaching elements of which the difficulty coefficients are lower than the first target difficulty coefficient in the plurality of groups of teaching elements.
18. The apparatus of claim 17, further comprising:
a sixth determining module, configured to determine, according to different second difficulty coefficients corresponding to multiple knowledge points of the pre-configured teaching course, a second target difficulty coefficient corresponding to the first knowledge point;
and the second replacing module is used for replacing teaching elements of the first knowledge points of the teaching course for the client with teaching elements of target knowledge points with difficulty coefficients lower than the second target difficulty coefficient in the plurality of knowledge points.
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CN107945596A (en) * 2017-12-25 2018-04-20 成都福润得科技有限责任公司 A kind of interactive teaching methods easy to teaching flexibly

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