CN113469848A - Teaching method, device and equipment for mobile terminal and storage medium - Google Patents
Teaching method, device and equipment for mobile terminal and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a teaching method, a device, equipment and a storage medium for a mobile terminal, wherein the method is applied to a conversation robot and comprises the following steps: responding to the triggering operation of a first user on a learning task, and acquiring a target course corresponding to the first user; determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information; outputting the conversation interactive content corresponding to the current section; and receiving response operation of the first user for the dialogue interaction content. The teaching system has the advantages that teaching users can timely know the learning condition of each user who listens to the lessons, the interactivity between the users who listen to the lessons and the teaching users is improved, the teaching quality of online teaching is further improved, and the requirements of the users who listen to the lessons and the teaching users can be really met.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a teaching method, a teaching device, teaching equipment and a storage medium for a mobile terminal.
Background
With the continuous development of communication technology, network technology and multimedia technology, teaching methods have gradually changed from a face-to-face teaching mode to an online teaching mode. The online teaching mode realizes a new learning mode between the lecturer and the student.
The existing online teaching method generally comprises the steps that a lecturer displays a teaching content directory through electronic equipment in advance, a student selects teaching content from the directory, and after learning the teaching content, the learning of the teaching content is finished.
Therefore, in the existing online teaching method, the lecturer cannot timely know the learning condition of each student, so that the interactivity between the students and the lecturer is poor, the teaching quality of online teaching is low, and the requirements of the students and the lecturer cannot be really met.
Disclosure of Invention
The embodiment of the invention provides a teaching method, a device, equipment and a storage medium for a mobile terminal, which solve the technical problems that in the prior art, a lecturer cannot timely know the learning condition of each student, so that the interactivity between the student and the lecturer is poor, the teaching quality of online teaching is low, and the requirements of the student and the lecturer cannot be really met.
In a first aspect, an embodiment of the present invention provides a teaching method for a mobile terminal, where the teaching method is applied to a conversation robot, and the method includes:
responding to the triggering operation of a first user on a learning task, and acquiring a target course corresponding to the first user;
determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information;
outputting the conversation interactive content corresponding to the current section;
and receiving response operation of the first user for the dialogue interaction content.
Optionally, in the method, if the dialog interaction content corresponding to the current section is dialog interaction information, after the receiving of the response operation of the first user for the dialog interaction content, the method further includes:
and determining a corresponding processing strategy according to the type of the response operation.
Optionally, as in the foregoing method, the determining a corresponding processing policy according to the type of the response operation includes:
if the type of the response operation is the response type of the comprehension teaching content, determining the corresponding processing strategy as obtaining the conversation interactive content of the next section of the target course, and outputting the conversation interactive content of the next section;
and if the type of the response operation is the response type of the unexplained teaching content, determining the corresponding processing strategy as a deepened understanding strategy, and interacting with the first user according to the deepened understanding strategy.
Optionally, in the method described above, the deeper understanding policy is a re-explanation policy;
the interacting with the first user according to the deepened understanding policy comprises:
determining corresponding deepened understanding dialect information from a knowledge base according to the response operation;
outputting the deepened understanding language information;
and receiving a determination operation of the deepened understanding dialect information by a first user, and interacting with the first user by adopting an interaction mode corresponding to the deepened understanding dialect information according to the determination operation.
Optionally, the method as described above, the determining the dialog interaction content corresponding to each section in the target course includes:
acquiring a target teaching plan form corresponding to the target course, wherein identification information of each measure is stored in the target teaching plan form according to columns, and each measure corresponds to an interaction type and a conversation interaction content;
and acquiring the conversation interactive content corresponding to each section according to rows from the target teaching plan table.
Optionally, the method as described above, after outputting the dialog interaction content corresponding to the current section, further includes:
and outputting at least one response operation option corresponding to the dialogue interactive content, so that the first user selects response operation according to the response operation option.
Optionally, in the method as described above, the dialog interaction information includes: objective questions;
if the fact that the learning of the target course is finished is monitored, acquiring the number of correct response operations of the first user for the objective questions;
and determining the reward points of the first user in the target course according to the number of the correct response operations, and storing the reward points and the target course of the first user in a correlation manner.
Optionally, in the method as described above, after it is monitored that the target course learning is completed, the method further includes:
outputting a target course learning completion reminding message, and updating the learned course information of the first user;
and acquiring teaching opinion data of the first user aiming at the target course.
Optionally, in the method as described above, after it is monitored that the target course learning is completed, the method further includes:
outputting an examination reminder message to the first user;
outputting a test question in response to a test determination operation input by the first user;
acquiring answering data of the first user for the examination questions, and calculating examination scores corresponding to the first user according to the answering data;
and performing associated storage on the test scores and the target courses corresponding to the first user.
Optionally, in the method described above, if the response data is non-text response data, a target link is set for the response data, so that a second user obtains the response data according to the target link and determines a score corresponding to the response data;
and receiving scores corresponding to the response data fed back by the second user so as to calculate the test scores corresponding to the first user.
Optionally, as in the above method, before the obtaining of the target course corresponding to the first user, the method further includes:
if the first user is determined not to be registered, outputting inquiry user name information;
responding to the name input by the first user, outputting an inquiry mobile phone number or confirming whether to generate school number information;
and receiving the mobile phone number input by the first user or confirming the information of generating the school number, and registering the first user.
Optionally, the acquiring the target course corresponding to the first user according to the method includes:
if the first user is determined to be registered, acquiring the information of the learned course;
and acquiring a target course corresponding to the first user according to the learned course information.
Optionally, the method as described above, further comprising:
receiving a course skipping request input by the first user, wherein the course skipping request comprises: skipping a course identifier;
and if the jumping course is determined to be the course before the latest course of the first user or the courses with the preset number after the latest course according to the jumping course identification, jumping to the corresponding course.
Optionally, the method as described above, further comprising:
if the response operation of the first user in the target course is not received within a first preset time period, outputting a target course learning reminding message;
if response operation of the first user in the target course is received within a second preset time period after the first preset time period, continuing the learning task of the target course;
and if the response operation of the first user in the target course is not received in a second preset time period after the first preset time period, determining that the target course is not finished, keeping the original learned course information, and outputting a reminding message for relearning the target course.
In a second aspect, an embodiment of the present invention provides a teaching device for a mobile terminal, where the teaching device is located in a conversation robot, and the teaching device includes:
the course acquisition module is used for responding to the triggering operation of a first user on a learning task and acquiring a target course corresponding to the first user;
the content determining module is used for determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information;
the content output module is used for outputting the conversation interactive content corresponding to the current section;
and the operation receiving module is used for receiving response operation of the first user for the dialogue interactive content.
Optionally, the apparatus as described above, the processing policy determining module is configured to determine, if the dialog interaction content corresponding to the current section is dialog interaction information, a corresponding processing policy according to a type of the response operation after receiving the response operation of the first user for the dialog interaction content.
Optionally, the apparatus described above, the processing policy determining module is specifically configured to: if the type of the response operation is the response type of the comprehension teaching content, determining the corresponding processing strategy as obtaining the conversation interactive content of the next section of the target course, and outputting the conversation interactive content of the next section; and if the type of the response operation is the response type of the unexplained teaching content, determining the corresponding processing strategy as a deepened understanding strategy, and interacting with the first user according to the deepened understanding strategy.
Optionally, the deepening understanding policy is a re-explaining policy; the processing policy determining module, when interacting with the first user according to the deepened understanding policy, is specifically configured to: determining corresponding deepened understanding dialect information from a knowledge base according to the response operation; outputting the deepened understanding language information; and receiving a determination operation of the deepened understanding dialect information by a first user, and interacting with the first user by adopting an interaction mode corresponding to the deepened understanding dialect information according to the determination operation.
Optionally, the apparatus as described above, the content determining module is specifically configured to: acquiring a target teaching plan form corresponding to the target course, wherein identification information of each measure is stored in the target teaching plan form according to columns, and each measure corresponds to an interaction type and a conversation interaction content; and acquiring the conversation interactive content corresponding to each section according to rows from the target teaching plan table.
Optionally, after the outputting of the dialog interaction content corresponding to the current section, the content output module is further configured to: and outputting at least one response operation option corresponding to the dialogue interactive content, so that the first user selects response operation according to the response operation option.
Optionally, in the apparatus as described above, the dialog interaction information includes: objective title. Correspondingly, the integral storage module is used for acquiring the number of correct response operations of the first user for the objective questions if the fact that the learning of the target course is finished is monitored; and determining the reward points of the first user in the target course according to the number of the correct response operations, and storing the reward points and the target course of the first user in a correlation manner.
Optionally, the device may further include a reminding module, configured to, if it is monitored that the target course learning is completed, output a target course learning completion reminding message, and update the learned course information of the first user; and acquiring teaching opinion data of the first user aiming at the target course.
Optionally, the device as described above, the examination module is configured to output an examination prompting message to the first user after monitoring that the learning of the target course is completed; outputting a test question in response to a test determination operation input by the first user; acquiring answering data of the first user for the examination questions, and calculating examination scores corresponding to the first user according to the answering data; and performing associated storage on the test scores and the target courses corresponding to the first user.
Optionally, the device as described above, the examination module, if the response data is non-text response data, is further configured to set a target link for the response data, so that a second user obtains the response data according to the target link and determines a score corresponding to the response data; and receiving scores corresponding to the response data fed back by the second user so as to calculate the test scores corresponding to the first user.
Optionally, the apparatus as described above, the user registration module is configured to, before the target course corresponding to the first user is obtained, output inquiry user name information if it is determined that the first user is not registered; responding to the name input by the first user, outputting an inquiry mobile phone number or confirming whether to generate school number information; and receiving the mobile phone number input by the first user or confirming the information of generating the school number, and registering the first user.
Optionally, the apparatus as described above, the course obtaining module is specifically configured to obtain learned course information if it is determined that the first user has registered; and acquiring a target course corresponding to the first user according to the learned course information.
Optionally, the apparatus as described above, the course skipping module is configured to receive the course skipping request input by the first user, where the course skipping request includes: skipping a course identifier; and if the jumping course is determined to be the course before the latest course of the first user or the courses with the preset number after the latest course according to the jumping course identification, jumping to the corresponding course.
Optionally, the apparatus as described above, the reminding module is further configured to output a target course learning reminding message if a response operation of the first user in the target course is not received within a first preset time period; if response operation of the first user in the target course is received within a second preset time period after the first preset time period, continuing the learning task of the target course; and if the response operation of the first user in the target course is not received in a second preset time period after the first preset time period, determining that the target course is not finished, keeping the original learned course information, and outputting a reminding message for relearning the target course.
In a third aspect, an embodiment of the present invention provides a conversation robot, including: a memory, a processor, and a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any of the first aspects.
In a fourth aspect, the present invention provides a computer-readable storage medium, wherein a computer program is stored thereon, and the computer program is executed by a processor to implement the method according to any one of the first aspect.
The embodiment of the invention provides a teaching method, a device, equipment and a storage medium for a mobile terminal, wherein a target course corresponding to a first user is obtained by responding to the triggering operation of the first user on a learning task; determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information; outputting the conversation interactive content corresponding to the current section; and receiving response operation of the first user for the dialogue interaction content. Because the learning mode of the target course by the lecture users is converted into the mode of carrying out interactive dialogue between the dialogue robot and the lecture users, and the dialogue robot serves as the role of the lecture users, the lecture users can timely know the learning condition of each lecture user, the interactivity between the lecture users and the lecture users is improved, the teaching quality of online teaching is further improved, and the requirements of the lecture users and the lecture users can be really met.
It should be understood that what is described in the summary above is not intended to limit key or critical features of embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a teaching method for a mobile terminal according to an embodiment of the present invention;
fig. 2 is a flowchart of a teaching method for a mobile terminal according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a first usage status of an operation interface of the dialogue robot according to the embodiment of the invention;
fig. 4 is a flowchart of step 204 in the teaching method for a mobile terminal according to the second embodiment of the present invention;
FIG. 5 is a diagram illustrating a second usage state of the operation interface of the dialogue robot in the embodiment of the invention;
fig. 6 is a flowchart of step 207 in the teaching method for the mobile terminal according to the second embodiment of the present invention;
fig. 7 is a schematic structural diagram of a teaching device for a mobile terminal according to a third embodiment of the present invention;
fig. 8 is a schematic structural diagram of a teaching device for a mobile terminal according to a fourth embodiment of the present invention;
fig. 9 is a schematic structural diagram of a dialogue robot for a teaching method of a mobile terminal according to a fifth embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, and in the above-described drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Embodiments of the present application will be described below in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of a teaching method for a mobile terminal according to an embodiment of the present invention, where an execution main body of the embodiment is a teaching device for a mobile terminal, and the teaching device for a mobile terminal is located in a conversation robot, as shown in fig. 1, the teaching method for a mobile terminal according to the embodiment includes the following steps.
Step 101, in response to a triggering operation of a first user on a learning task, acquiring a target course corresponding to the first user.
In this embodiment, the conversation robot may be an application program (APP for short) loaded in the electronic device or a real conversation robot, which is not limited in this embodiment.
In this embodiment, the first user is a user who learns the target course, that is, a user who listens to the course.
The determining whether the first user performs the triggering operation on the learning task may be to monitor whether the first user opens the conversation robot. And if the conversation robot is monitored to be opened, determining that a learning task is triggered.
Specifically, in this embodiment, if it is monitored that the first user triggers the learning task, the first user information is obtained in response to the triggering operation of the first user on the learning task, if it is determined that the first user is a registered user according to the first user information, the learned course information of the first user is obtained, and the target course of the first user is determined according to the learned course information.
Wherein, the target course is a course which the user needs to learn currently. In this embodiment, the field to which the target course belongs is not limited, and the target course may be a professional knowledge course, such as an accounting course, an artificial intelligence course, or a study course for each subject of a small or medium-high student.
It can be understood that each user learns each course by using the teaching method for the mobile terminal, and after the corresponding course is finished, the learned course information can be updated, and the learned course information of each user is stored to obtain the target course corresponding to each user. Optionally, the storage manner may be in a table form or other forms, which is not limited in this embodiment.
And 102, determining the interactive content of the dialogue corresponding to each section in the target course, wherein the interactive content of the dialogue is teaching content or interactive information of the dialogue.
Specifically, in this embodiment, the second user, that is, the teaching user, may collect, in advance, the dialog content corresponding to each section in each course through the dialog robot, and may store, in the server or the preset database, the dialog content corresponding to each section in each course, where the storage form may be a table form or another form. And after the target course is determined, obtaining the conversation interactive content corresponding to each section in the target course from the server or a preset database.
The dialogue interaction content can be teaching content or dialogue interaction information.
The form of the teaching content may be a text form, a picture form, an audio form, and the like, which is not limited in this embodiment.
The interactive information of the dialogue is the interactive information of the first user and the dialogue robot in the learning process of the target course. The dialog interaction information may be in the form of a question, for example, a question for inquiring the understanding of the first user about the teaching content, or may also be a question and answer, a choice question, a judgment question, and the like for testing the understanding of the first user about the teaching content, which is not limited in this embodiment.
And 103, outputting the interactive dialogue content corresponding to the current section.
Specifically, in this embodiment, the dialog interactive content corresponding to the current section may be displayed on the display interface, and the dialog interactive content corresponding to the current section may also be played in a form of voice. Or both displaying the dialog interactive content corresponding to the current section on the display interface and playing the voice of the dialog interactive content corresponding to the current section.
And 104, receiving a response operation of the first user for the dialogue interaction content.
Specifically, in this embodiment, after the dialog interaction content corresponding to the current section is output, the first user may input or select a response operation through the display interface for the dialog interaction content, or reply to the dialog interaction content as the response operation in a voice manner.
The type of the response operation is not limited. For example, when the interactive dialog content is the teaching content, the response operation may be "learned", "understood", "continue with bar", or the like. If the interactive dialogue content is interactive dialogue information and the interactive dialogue information is a question for testing the understanding of the first user on the teaching content, the response operation may be an answer to the input or selected question, and the like.
According to the teaching method for the mobile terminal, a target course corresponding to a first user is obtained by responding to the triggering operation of the first user on a learning task; determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information; outputting the conversation interactive content corresponding to the current section; and receiving response operation of the first user for the dialogue interaction content. Because the learning mode of the target course by the lecture users is converted into the mode of carrying out interactive dialogue between the dialogue robot and the lecture users, and the dialogue robot serves as the role of the lecture users, the lecture users can timely know the learning condition of each lecture user, the interactivity between the lecture users and the lecture users is improved, the teaching quality of online teaching is further improved, and the requirements of the lecture users and the lecture users can be really met.
Example two
Fig. 2 is a flowchart of a teaching method for a mobile terminal according to a second embodiment of the present invention, and as shown in fig. 2, the teaching method for a mobile terminal according to the second embodiment of the present invention is further detailed in steps 101 to 104 on the basis of the teaching method for a mobile terminal according to the first embodiment of the present invention, and further includes other technical solutions. The teaching method for the mobile terminal provided by the present embodiment includes the following steps.
Optionally, in this embodiment, after responding to a triggering operation of the first user on the learning task, obtaining first user information, comparing the first user information with user information in a user set stored in advance, if the first user information is not obtained, it is determined that the first user is not registered, and if the first user information is obtained, it is determined that the first user is registered.
The information such as the name, the school number or the mobile phone number of each user can be stored in a pre-stored user set. The learned course information may also be stored, such as may include maximum course information or other information. The set of users may be stored in the form of a table. As shown in table 1, a part of the user information is exemplified.
Table 1: user set schematic table
| Number learning | Name (I) | Maximum progress of course |
| 10000000001 | Li Si | 1 |
| 10000000002 | Wang San | 2 |
Step 202, outputting inquiry user name information, responding to the name input by the first user, outputting an inquiry mobile phone number or confirming whether to generate school number information; and receiving the mobile phone number input by the first user or confirming the information of generating the school number, and registering the first user.
Optionally, fig. 3 is a schematic view of a first usage state of a dialog robot operation interface in an embodiment of the present invention, where first, in the dialog robot operation interface, the gestures of a lecture user and a first user may be displayed in a manner that the gestures are respectively located on left and right sides, and a dialog interaction content of the lecture user each time is displayed in a preset region corresponding to the gestures of the lecture user, and correspondingly, a response operation of a lecture user each time is displayed in a preset region corresponding to the gestures of the lecture user. As shown in fig. 3, if the first user is not registered, first, information inquiring about the user name may be displayed in a preset area corresponding to the avatar of the teaching user in the operation interface, for example, "how to call your college asking? ". An input window may be included below the operation interface, and after the first user inputs and determines the name through the input window, the name of the first user is displayed in a preset area corresponding to the first user avatar, such as "wangsi" shown in fig. 3. Responding to the name input by the first user, displaying an inquiry mobile phone number or confirming whether to generate school number information in a preset area corresponding to the head portrait of the teaching user, if the mobile phone number can be provided for 'registration of a new student, or you can say that a' generation of a school number 'can distribute a school number to you', the first user inputs the mobile phone number or the generated school number through an input window and then displays the mobile phone number or characters of 'generation of the school number' in the preset area corresponding to the head portrait of the first user after determining the mobile phone number or the generated school number. If the mobile phone number is shown as "186 xxxxxx 21" in fig. 3, the mobile phone number input by the first user is received or information confirming generation of the school number is received, and the first user is registered.
It can be understood that, as shown in fig. 3, during each round of interaction between the teaching user and the first user, the head portrait of the teaching user and the head portrait of the first user reappear on the operation interface, so that the first user can clearly know the interactive content and the corresponding response operation of each round of conversation.
It can be understood that the teaching user in the phone robot operation interface is a virtual teaching user of the conversation robot, and interacts with the first user through the virtual teaching user.
According to the teaching method for the mobile terminal, when a user is registered, name information of the user is output and inquired; responding to the name input by the first user, outputting an inquiry mobile phone number or confirming whether to generate school number information; and receiving the mobile phone number input by the first user or confirming the information of generating the school number, and registering the first user. The user registration can be completed in a conversation mode, more comfortable registration experience can be provided for the user, and the registration process is simple and rapid.
In this embodiment, after each user finishes learning each target course, the learned course information of each user is stored or updated, and the learned course information may include: course progress, course performance, course rewards, course numbers or study numbers and the like. As shown in table 2, the completed lesson information for each user is stored in advance.
Table 2: user completed course information schematic table
Specifically, in this embodiment, if it is determined that the first user has registered, the learned course information may be obtained according to the table of the completed course information; and acquiring the latest learned course from the learned course information, and further determining a target course corresponding to the first user. If the first user is 'Wangsi', the latest learned course of 'Wangsi' is determined to be the second course through the learned course information, and the target course corresponding to 'Wangsi' is the third course.
And step 204, determining the interactive content of the dialogue corresponding to each section in the target course, wherein the interactive content of the dialogue is teaching content or interactive information of the dialogue.
As an alternative implementation, in this embodiment, as shown in fig. 4, step 204 includes the following steps:
step 2041, a target teaching plan form corresponding to the target course is obtained, identification information of each measure is stored in the target teaching plan form according to columns, and each measure corresponds to an interaction type and a conversation interaction content.
In this embodiment, when the teaching user uses the session robot, a target course needs to be set, and when the teaching user sets the target course, a form of a target teaching plan table may be adopted, identification information of each bar is stored in the target teaching plan table by columns, and each bar corresponds to an interaction type and a session interaction content. The table may be as shown in table 3:
table 3: target teaching plan schematic table
Step 2042, the interactive content of the dialog corresponding to each section is obtained from the target teaching plan table according to rows.
In this embodiment, the interactive dialog contents of each section in the target course are stored in the form of corresponding rows, so that the interactive dialog contents corresponding to each section can be obtained from the target teaching plan table by rows.
It should be noted that when the teaching user needs to change the target course, the interactive dialog contents of the target course can be quickly updated in the form of the table in table 3. And realizing the quick update of the target course.
In the teaching method for the mobile terminal provided by this embodiment, when determining the interactive content of the dialog corresponding to each section in the target course, by acquiring the target teaching plan form corresponding to the target course, the target teaching plan form stores the identification information of each section by columns, and each section corresponds to the interactive type and the interactive content of the dialog; the interactive contents of the dialogue corresponding to each section are obtained from the target teaching plan form according to rows, the interactive contents of the dialogue can be obtained more quickly and accurately, and the teaching user can update the target course quickly and accurately when updating the target course.
And step 205, outputting the interactive dialog content corresponding to the current section.
Specifically, in this embodiment, the dialog interaction content corresponding to the current bar is displayed in the preset region corresponding to the avatar of the user giving lessons on the operation interface.
As an optional implementation manner, in this embodiment, after the step 205 outputs the dialog interaction content corresponding to the current section, the method further includes:
and outputting at least one response operation option corresponding to the interactive content of the conversation so that the first user can select the response operation according to the response operation option.
In this embodiment, after the dialog interaction content is displayed on the operation interface, as shown in fig. 5, at least one option responding to an operation, such as "learn", "understand", "continue with bar", may be displayed above the input window below the operation interface. The first user can select the response operation option through the displayed at least one response operation option, and further, the user does not need to input a response through the input window.
According to the teaching method for the mobile terminal, at least one response operation option corresponding to the interactive content of the output conversation is used, so that the first user can select the response operation according to the response operation option, the user does not need to input the response content in the input window, the response operation can be completed only by clicking the response operation option, and the experience of the user in the interactive process is further improved.
Step 206, receiving a response operation of the first user for the dialogue interaction content.
In this embodiment, the response operation of the first user for the dialog interaction content may be received through a response operation option selected by the user or a response input by the user through the input window.
And step 207, if the interactive content of the dialog corresponding to the current section is interactive information, determining a corresponding processing strategy according to the type of the response operation.
In this embodiment, the dialog interaction information may be a question for inquiring about the understanding condition of the first user about the teaching content, or an objective question for testing the understanding condition of the first user about the teaching content, as shown in table 3.
As an alternative implementation, in this embodiment, as shown in fig. 6, step 207 includes the following steps:
step 2071, if the type of the response operation is the response type for understanding the teaching content, determining the corresponding processing strategy as obtaining the dialog interactive content of the next section of the target course, and outputting the dialog interactive content of the next section.
In this embodiment, after receiving the response operation, the type of the response operation is determined, if the type of the response operation is a response type for understanding the teaching content, for example, if the dialog interaction information may be a question asking the first user to understand the teaching content, the response of the first user is a response operation such as "understand" or "good", or if the dialog interaction information may be a question for testing the understanding of the first user to the teaching content, and the response of the first user is a response for correctly answering the question, the type of the response operation is determined to be a response type for understanding the teaching content, then the corresponding processing policy is determined to obtain the dialog interaction content of the next section of the target course, and the dialog interaction content of the next section is output.
Step 2072, if the type of the response operation is a response type that does not understand the teaching content, determining that the corresponding processing policy is a deepened understanding policy, and interacting with the first user according to the deepened understanding policy.
In this embodiment, after receiving the response operation, the type of the response operation is determined, if the type of the response operation is a response type that does not understand the teaching content, for example, if the dialog interaction information may be a question that asks the first user about understanding the teaching content, the response of the first user is a response operation such as "unclear" or "unintelligible", or if the dialog interaction information may be a question that tests the understanding of the first user about the teaching content, and the response of the first user is a response that answers the question incorrectly, the type of the response operation is determined to be a response type that does not understand the teaching content, and then the corresponding processing policy is determined to be a deepened understanding policy, and the interaction is performed with the first user according to the deepened understanding policy.
Alternatively, the deeper-understanding policy may be a re-explanation policy. As an alternative implementation manner, in this embodiment, the step 2072 of interacting with the first user according to the deepened understanding policy includes the following steps:
at step 2072a, corresponding enhanced understanding language information is determined from the knowledge base according to the response operation.
In this embodiment, deepened understanding dialect information corresponding to each response operation for which the teaching content is not understood is stored in the knowledge base in advance. And determining corresponding deepened understanding dialect information from the knowledge base according to the response operation. If the response operation of the first user that does not understand the teaching content is "unknown", the corresponding understanding-deepening speech-art information is "explain you again in a video manner, can? "
Step 2072b, output deepening understanding dialect information.
In this embodiment, the deepening understanding of the dialoging information is displayed in a preset area of the avatar of the lecture user, and the option of responding to the operation may be displayed above the input window of the operation interface, which may include: "good", "unused", "continue the next section".
And 2072c, receiving a determination operation of the first user on the deepened understanding language skill information, and interacting with the first user in an interaction mode corresponding to the deepened understanding language skill information according to the determination operation.
Specifically, in this embodiment, the first user may determine to deepen understanding of the dialogues information, such as entering or selecting "good", by entering or selecting the input window or the displayed response operation options. And interacting with the first user in an interaction mode corresponding to the deepened understanding language information according to the determination operation.
For example, in the above example, if the interaction mode in the deep understanding of the conversational information is a video explanation mode, the first user may interact with the deep understanding of the conversational information in a video explanation mode.
It is understood that the interaction mode for deepening the understanding of the conversational information can also be an audio mode, a manual mode, and the like.
In the teaching method for the mobile terminal provided by this embodiment, if the type of the response operation is a response type for understanding the teaching content, the corresponding processing policy is determined to acquire the dialog interactive content of the next section of the target course, and the dialog interactive content of the next section is output; if the type of the response operation is the response type of the unexplained teaching content, determining the corresponding processing strategy to be a deepened understanding strategy, interacting with the first user according to the deepened understanding strategy, and determining corresponding deepened understanding dialect information from the knowledge base according to the response operation when interacting with the first user according to the deepened understanding strategy; outputting deepened understanding dialect information; the method comprises the steps of receiving a determination operation of a first user on deepening understanding of the speech technology information, interacting with the first user in an interaction mode corresponding to the deepening understanding of the speech technology information according to the determination operation, explaining the teaching contents in other modes again when the user cannot understand the teaching contents, improving teaching quality for each user, and meeting requirements of each user.
And step 208, if the fact that the target course learning is finished is monitored, acquiring the number of correct response operations of the first user for the objective questions, determining the reward points of the first user in the target course according to the number of the correct response operations, and storing the reward points and the target course of the first user in a correlation mode.
In this embodiment, it is preset that when the number of correct response operations of the objective item exceeds a preset number, bonus points with preset scores can be obtained, and when the number does not exceed the preset number, bonus points cannot be obtained. For example, if the number of correct response operations of the objective item is greater than or equal to 3, 4 points of reward points can be obtained, and if the number of correct response operations of the objective item is less than 3, 4 points of reward points cannot be obtained.
Or the mapping relation between the number of the correct response operations of the objective questions and the reward points can be stored. For example, if the number of correct response operations for the objective item is greater than or equal to 6, 4 points of bonus points can be obtained, 3 points of bonus points are greater than or equal to 3 and less than 6 points, 2 points of bonus points can be obtained, and less than 3 points of bonus points cannot be obtained.
As an optional implementation manner, in this embodiment, whether the target course has been completely learned is monitored according to the target teaching plan form in table 3 and the current conversation interactive content, and if it is monitored that the target course has been completely learned, the number of correct response operations of the first user for the objective topic is obtained. And determining the reward points of the first user in the target course according to the number of correct response operations and a preset reward strategy, and storing the reward points and the target course of the first user in a correlation manner. As shown in table 2, after each first user finishes learning the target course, information on whether to obtain the bonus point is stored in association with each first user.
According to the teaching method for the mobile terminal, if it is monitored that the target course learning is finished, the number of correct response operations of a first user for an objective question is obtained; and determining the reward points of the first user in the target course according to the number of correct response operations, and storing the reward points and the target course of the first user in a correlation manner, so that the user can be encouraged to carefully listen to the course in a reward point manner.
As an optional implementation manner, in this embodiment, after it is monitored that the target course is completely studied, a completion reminding message of the target course is displayed in a preset area of the teaching user on the operation interface, so as to remind the first user that the target course is completely studied. And acquiring the completed course information table of the user, and updating the completed course information of the first user, for example, adding the course progress, the corresponding number course, the course number and the like of the completed target course of the first user in the table 2.
As an optional implementation manner, in this embodiment, the dialog interaction information of "please propose a teaching suggestion for the course" may be displayed on the operation interface by the teaching user, and after the first user inputs the entire teaching suggestion for the target course in the input option according to the dialog interaction information and determines the overall teaching suggestion, the dialog robot may obtain the teaching suggestion data of the first user for the target course.
According to the teaching method for the mobile terminal, the teaching opinion data aiming at the target course is obtained, the teaching user can pertinently improve the target course according to the teaching opinions of the teaching users, and the improvement of the teaching quality is further promoted.
As an optional implementation manner, in this embodiment, if it is monitored that the target course learning is finished, the dialog robot may display the examination prompting information in a preset area corresponding to the avatar of the user on the operation interface, after receiving an examination determination operation input or selected by the first user, display a first examination question on the operation interface, and the first user answers according to the first examination question, so that the dialog robot obtains corresponding answering data. And displaying the next test question, acquiring response data corresponding to the next test question of the first user, and so on until receiving the response data corresponding to the last test question of the first user. The examination questions can be objective questions and/or subjective questions.
After the response data corresponding to each examination question is obtained, whether the response data corresponding to the first user is correct or not is judged according to preset standard response data, and an examination score is calculated. And the examination scores are also stored in a correlated mode with the target courses corresponding to the first user.
As an optional implementation manner, in this embodiment, when the test score is calculated, the default word segmentation slot is initialized to be 0, a score is calculated according to whether the answer returned by each test question of the first user is correct, and the score corresponding to each test question is accumulated to obtain a final test score.
Optionally, in this embodiment, if the response data is non-text response data, a target link is set for the response data, so that the second user obtains the response data according to the target link and determines a score corresponding to the response data; and receiving scores corresponding to the response data fed back by the second user so as to calculate the test scores corresponding to the first user.
Specifically, in this embodiment, if the examination question is a subjective question, the response data may be non-text response data, for example, the response data may be a shot photo, a drawing, or the like. And after acquiring the non-text answer data of the first user for the examination questions, setting a target link for the non-text answer data, and if the non-text answer data can be stored in the cloud server, acquiring the answer data by the real teaching user, namely the second user through the target link, and determining the score corresponding to the answer data. And sending the score to the dialogue robot, and the dialogue robot calculates the examination score of the first user according to the score given by the real teaching user.
According to the teaching method for the mobile terminal, an examination reminding message is output to a first user; outputting test questions in response to a test determination operation input by a first user; acquiring answering data of the first user aiming at the examination questions, and calculating examination scores corresponding to the first user according to the answering data; the examination score and the target course corresponding to the first user are stored in a correlation mode, examination can be conducted on each target course, and the first user is motivated to attend the course seriously.
In the teaching method for the mobile terminal provided by this embodiment, if the response data is non-text response data, a target link is set for the response data, so that a second user obtains the response data according to the target link and determines a score corresponding to the response data; and receiving scores corresponding to the response data fed back by the second user so as to calculate the test scores corresponding to the first user. The system can feed back scores corresponding to response data by real teaching users aiming at the condition that the response data corresponding to practice questions are non-text response data, so that the examination range is wider compared with the condition that only objective questions exist, and the system is suitable for teaching and examination in more fields.
Further, the present embodiment also includes the following technical solutions.
As an optional implementation manner, a course skipping request input by a first user is received, where the course skipping request includes: skipping a course identifier; and if the jumping course is determined to be the course before the latest course of the first user or the preset number of courses after the latest course according to the jumping course identification, jumping to the corresponding course.
Specifically, in this embodiment, in any link of the first user learning the target course, or not learning the target course, or having learned the target course, if there is a requirement to skip the course learning, the first user may input a course skipping request through an input window of the dialog robot, where the course skipping request includes: and jumping to the course identification. For example "please jump to class two". And the conversation robot jumps to the corresponding course if the jumping course is determined to be the course before the latest course of the first user or the preset number of courses after the latest course according to the jumping course identification. And if the jumping course is determined to be the course after the current course of the first user by the preset number, the course jumping is not carried out.
The teaching method for the mobile terminal provided by this embodiment receives a course jump request input by a first user, where the course jump request includes: skipping a course identifier; and if the jumping course is determined to be the course before the latest course of the first user or the preset number of courses after the latest course according to the jumping course identification, jumping to the corresponding course. The skipping of the learning course within the preset range can be realized, the learning can be performed again under the condition that the previous course is not fully understood, the learning of the subsequent course can be performed in advance, and the experience of the user in learning the course is further improved.
As an optional implementation manner, in this embodiment, the learning process of the target course further includes the following technical solutions:
if the response operation of the first user in the target course is not received within a first preset time period, outputting a target course learning reminding message; if response operation of the first user in the target course is received within a second preset time period after the first preset time period, continuing the learning task of the target course; and if the response operation of the first user in the target course is not received in a second preset time period after the first preset time period, determining that the target course is not completed, keeping the original learned course information, and outputting a reminding message for re-learning the target course.
Specifically, in the embodiment, in the process of learning the target course by the first user, whether a response operation of the first user in the target course is received within a first preset time period is monitored. If it is monitored that the response operation of the first user in the target course is not received within the first preset time period, it is indicated that the first user may be handling other emergency events, and a target course learning reminding message can be displayed in a preset area corresponding to the avatar of the teaching user. To remind the first user to continue learning. If the response operation of the first user in the target course is received in a second preset time period after the first preset time period, the first user still can continue to learn the target course, and the learning task of the target course is continued. If the response operation of the first user in the target course is not received in a second preset time period after the first preset time period, the condition that the first user continues to learn the target course is indicated, the target course is determined to be incomplete, the learned course information of the first user does not need to be updated at the moment, the original learned course information is kept, and a reminding message of the target course to be learned again can be displayed on the operation interface. So that the first user is informed of the need to relearn the target lesson.
The specific time of the first preset time period and the second preset time period is not limited.
In the teaching method for the mobile terminal provided in this embodiment, in the learning process of the target course, whether a response operation of the first user in the target course is received within a first preset time period is monitored, if the response operation of the first user in the target course is received within a second preset time period after the first preset time period, the learning task of the target course is continued, and if the response operation of the first user in the target course is not received within the second preset time period after the first preset time period, it is determined that the target course is not completed, the original learned course information is maintained, and a prompting message for relearning the target course is output. The learning condition of the first user can be well supervised, whether the target course is learned again is more reasonable, and the experience of the first user in learning the target course is improved.
EXAMPLE III
Fig. 7 is a schematic structural diagram of a teaching device for a mobile terminal according to a third embodiment of the present invention, and as shown in fig. 7, the teaching device for a mobile terminal according to the present embodiment includes: a lesson acquisition module 71, a content determination module 72, a content output module 73, and an operation reception module 74.
The course acquiring module 71 is configured to, in response to a triggering operation of the first user on the learning task, acquire a target course corresponding to the first user. And the content determining module 72 is configured to determine a dialog interaction content corresponding to each section in the target course, where the dialog interaction content is teaching content or dialog interaction information. And the content output module 73 is configured to output the interactive dialog content corresponding to the current section. And an operation receiving module 74, configured to receive a response operation of the first user for the dialog interaction content.
The teaching apparatus for a mobile terminal provided in this embodiment may implement the technical solution of the method embodiment shown in fig. 1, and the implementation principle and the technical effect are similar, which are not described herein again.
Example four
Fig. 8 is a schematic structural diagram of a teaching device for a mobile terminal according to a fourth embodiment of the present invention, and as shown in fig. 8, a teaching device 80 for a mobile terminal according to the present embodiment further includes, on the basis of the teaching device 70 for a mobile terminal according to a third embodiment of the present invention: a processing strategy determination module 81, a score storage module 82, a reminder module 83, an examination module 84, a user registration module 85, and a course jump module 86.
Optionally, the processing policy determining module 81 is configured to determine, if the dialog interaction content corresponding to the current section is dialog interaction information, a corresponding processing policy according to a type of a response operation after receiving the response operation of the first user for the dialog interaction content.
Optionally, the processing policy determining module 81 is specifically configured to: if the type of the response operation is the response type for understanding the teaching content, determining that the corresponding processing strategy is to acquire the conversation interactive content of the next section of the target course, and outputting the conversation interactive content of the next section; and if the type of the response operation is the response type of the unexplained teaching content, determining the corresponding processing strategy as a deepened understanding strategy, and interacting with the first user according to the deepened understanding strategy.
Optionally, deepening the understanding policy is a re-explaining policy; when interacting with the first user according to the deepened understanding policy, the processing policy determining module 81 is specifically configured to: determining corresponding deepened understanding dialect information from a knowledge base according to response operation; outputting deepened understanding dialect information; and receiving the determination operation of the first user on the deepened understanding of the dialect information, and interacting with the first user in an interaction mode corresponding to the deepened understanding of the dialect information according to the determination operation.
Optionally, the content determining module 72 is specifically configured to: acquiring a target teaching plan form corresponding to a target course, wherein identification information of each measure is stored in the target teaching plan form according to columns, and each measure corresponds to an interaction type and a conversation interaction content; and acquiring the dialogue interaction content corresponding to each section according to rows from the target teaching plan table.
Optionally, the content output module 73, after outputting the dialog interaction content corresponding to the current section, is further configured to: and outputting at least one response operation option corresponding to the interactive content of the conversation so that the first user can select the response operation according to the response operation option.
Optionally, the dialog interaction information includes: objective title. Correspondingly, the integral storage module 82 is configured to, if it is monitored that the target course learning is completed, obtain the number of correct response operations of the first user for the objective topic; and determining the reward points of the first user in the target course according to the number of the correct response operations, and storing the reward points and the target course of the first user in an associated manner.
Optionally, the reminding module 83 is configured to, if it is monitored that the target course is completely learned, output a reminding message that the target course is completely learned, and update the learned course information of the first user; and acquiring teaching opinion data of the first user for the target course.
Optionally, the examination module 84 is configured to output an examination prompting message to the first user if it is monitored that the target course learning is completed; outputting test questions in response to a test determination operation input by a first user; acquiring answering data of the first user aiming at the examination questions, and calculating examination scores corresponding to the first user according to the answering data; and performing associated storage on the test scores and the target courses corresponding to the first user.
Optionally, the examination module 84 is further configured to set a target link for the response data if the response data is non-text response data, so that the second user obtains the response data according to the target link and determines a score corresponding to the response data; and receiving scores corresponding to the response data fed back by the second user so as to calculate the test scores corresponding to the first user.
Optionally, the user registration module 85 is configured to, before obtaining the target course corresponding to the first user, output inquiry user name information if it is determined that the first user is not registered; responding to the name input by the first user, outputting an inquiry mobile phone number or confirming whether to generate school number information; and receiving the mobile phone number input by the first user or confirming the information of generating the school number, and registering the first user.
Optionally, the course obtaining module 71 is specifically configured to obtain learned course information if it is determined that the first user has registered; and acquiring a target course corresponding to the first user according to the learned course information.
Optionally, the course skipping module 86 is configured to receive a course skipping request input by the first user, where the course skipping request includes: skipping a course identifier; and if the jumping course is determined to be the course before the latest course of the first user or the preset number of courses after the latest course according to the jumping course identification, jumping to the corresponding course.
Optionally, the reminding module 83 is further configured to output a target course learning reminding message if a response operation of the first user in the target course is not received within a first preset time period; if response operation of the first user in the target course is received within a second preset time period after the first preset time period, continuing the learning task of the target course; and if the response operation of the first user in the target course is not received in a second preset time period after the first preset time period, determining that the target course is not completed, keeping the original learned course information, and outputting a reminding message for re-learning the target course.
The teaching apparatus for a mobile terminal provided in this embodiment may implement the technical solutions of the method embodiments shown in fig. 2 to fig. 6, and the implementation principles and technical effects thereof are similar and will not be described herein again.
EXAMPLE five
Fig. 9 is a schematic structural diagram of a conversation robot for a teaching method of a mobile terminal according to a fifth embodiment of the present invention, and as shown in fig. 9, a conversation robot 900 according to a fourth embodiment of the present invention includes: a memory 901, a processor 902 and computer programs.
Wherein the computer program is stored in the memory 901 and configured to be executed by the processor 902 to implement the teaching method for the mobile terminal provided in the first embodiment or the second embodiment.
The relevant description may be understood by referring to the relevant description and effect corresponding to the steps in fig. 1 to fig. 6, and redundant description is not repeated here.
The dialogue robot is in various forms of digital computers such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
In this embodiment, the memory 901 and the processor 902 are connected by a bus.
EXAMPLE six
A sixth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the teaching method for a mobile terminal provided in the first embodiment or the second embodiment.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
Program code for implementing the methods of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (17)
1. A teaching method for a mobile terminal, wherein the teaching method is applied to a conversation robot, and the method comprises:
responding to the triggering operation of a first user on a learning task, and acquiring a target course corresponding to the first user;
determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information;
outputting the conversation interactive content corresponding to the current section;
and receiving response operation of the first user for the dialogue interaction content.
2. The method of claim 1, wherein if the dialog interaction content corresponding to the current section is dialog interaction information, after the receiving the response operation of the first user for the dialog interaction content, further comprising:
and determining a corresponding processing strategy according to the type of the response operation.
3. The method of claim 2, wherein determining the corresponding processing policy according to the type of the response operation comprises:
if the type of the response operation is the response type of the comprehension teaching content, determining the corresponding processing strategy as obtaining the conversation interactive content of the next section of the target course, and outputting the conversation interactive content of the next section;
and if the type of the response operation is the response type of the unexplained teaching content, determining the corresponding processing strategy as a deepened understanding strategy, and interacting with the first user according to the deepened understanding strategy.
4. The method of claim 3, wherein the deeper understanding policy is a re-explanation policy;
the interacting with the first user according to the deepened understanding policy comprises:
determining corresponding deepened understanding dialect information from a knowledge base according to the response operation;
outputting the deepened understanding language information;
and receiving a determination operation of the deepened understanding dialect information by a first user, and interacting with the first user by adopting an interaction mode corresponding to the deepened understanding dialect information according to the determination operation.
5. The method as claimed in claim 1, wherein said determining the content of the dialog interaction corresponding to each section in the target course comprises:
acquiring a target teaching plan form corresponding to the target course, wherein identification information of each measure is stored in the target teaching plan form according to columns, and each measure corresponds to an interaction type and a conversation interaction content;
and acquiring the conversation interactive content corresponding to each section according to rows from the target teaching plan table.
6. The method of claim 5, wherein after outputting the dialog interaction content corresponding to the current section, further comprising:
and outputting at least one response operation option corresponding to the dialogue interactive content, so that the first user selects response operation according to the response operation option.
7. The method of claim 6, wherein the dialog interaction information comprises: objective questions;
if the fact that the learning of the target course is finished is monitored, acquiring the number of correct response operations of the first user for the objective questions;
and determining the reward points of the first user in the target course according to the number of the correct response operations, and storing the reward points and the target course of the first user in a correlation manner.
8. The method as claimed in claim 7, wherein after monitoring that the target course learning is completed, further comprising:
outputting a target course learning completion reminding message, and updating the learned course information of the first user;
and acquiring teaching opinion data of the first user aiming at the target course.
9. The method as claimed in claim 7, wherein after monitoring that the target course learning is completed, further comprising:
outputting an examination reminder message to the first user;
outputting a test question in response to a test determination operation input by the first user;
acquiring answering data of the first user for the examination questions, and calculating examination scores corresponding to the first user according to the answering data;
and performing associated storage on the test scores and the target courses corresponding to the first user.
10. The method according to claim 9, wherein if the response data is non-text response data, a target link is set for the response data, so that a second user obtains the response data according to the target link and determines a score corresponding to the response data;
and receiving scores corresponding to the response data fed back by the second user so as to calculate the test scores corresponding to the first user.
11. The method as claimed in any one of claims 1-10, wherein said obtaining the target course corresponding to the first user further comprises:
if the first user is determined not to be registered, outputting inquiry user name information;
responding to the name input by the first user, outputting an inquiry mobile phone number or confirming whether to generate school number information;
and receiving the mobile phone number input by the first user or confirming the information of generating the school number, and registering the first user.
12. The method as claimed in any one of claims 1-10, wherein said obtaining a target course corresponding to the first user comprises:
if the first user is determined to be registered, acquiring the information of the learned course;
and acquiring a target course corresponding to the first user according to the learned course information.
13. The method of any one of claims 1-10, further comprising:
receiving a course skipping request input by the first user, wherein the course skipping request comprises: skipping a course identifier;
and if the jumping course is determined to be the course before the latest course of the first user or the courses with the preset number after the latest course according to the jumping course identification, jumping to the corresponding course.
14. The method of any one of claims 1-10, further comprising:
if the response operation of the first user in the target course is not received within a first preset time period, outputting a target course learning reminding message;
if response operation of the first user in the target course is received within a second preset time period after the first preset time period, continuing the learning task of the target course;
and if the response operation of the first user in the target course is not received in a second preset time period after the first preset time period, determining that the target course is not finished, keeping the original learned course information, and outputting a reminding message for relearning the target course.
15. A teaching device for a mobile terminal, wherein the teaching device is located in a conversation robot, the device comprising:
the course acquisition module is used for responding to the triggering operation of a first user on a learning task and acquiring a target course corresponding to the first user;
the content determining module is used for determining conversation interactive content corresponding to each section in the target course, wherein the conversation interactive content is teaching content or conversation interactive information;
the content output module is used for outputting the conversation interactive content corresponding to the current section;
and the operation receiving module is used for receiving response operation of the first user for the dialogue interactive content.
16. A conversation robot, comprising:
a memory, a processor, and a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any one of claims 1-14.
17. A computer-readable storage medium, having stored thereon a computer program for execution by a processor to perform the method of any one of claims 1-14.
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