WO2019075826A1 - 一种基于互联网教学平台的跟随教学系统 - Google Patents

一种基于互联网教学平台的跟随教学系统 Download PDF

Info

Publication number
WO2019075826A1
WO2019075826A1 PCT/CN2017/111817 CN2017111817W WO2019075826A1 WO 2019075826 A1 WO2019075826 A1 WO 2019075826A1 CN 2017111817 W CN2017111817 W CN 2017111817W WO 2019075826 A1 WO2019075826 A1 WO 2019075826A1
Authority
WO
WIPO (PCT)
Prior art keywords
teaching
data
follow
standard
recording
Prior art date
Application number
PCT/CN2017/111817
Other languages
English (en)
French (fr)
Inventor
陈铿帆
刘善果
刘胜强
Original Assignee
深圳市鹰硕技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市鹰硕技术有限公司 filed Critical 深圳市鹰硕技术有限公司
Priority to US16/467,345 priority Critical patent/US11151892B2/en
Publication of WO2019075826A1 publication Critical patent/WO2019075826A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording
    • 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
    • G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
    • 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
    • G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • 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
    • 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
    • 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
    • G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
    • 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
    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Definitions

  • the invention relates to the field of internet teaching technology, in particular to a follow-up teaching system based on an internet teaching platform.
  • CN101833882A (Publication Date September 15, 2010) discloses a course recording system for teaching, including a multimedia classroom module (such as a podium, a central control, a stand, a notebook, a projector, etc.), a classroom scene camera acquisition module, Automatic tracking detection module, recording workstation, B/S architecture on-demand module, editing workstation, recording system resource management module and external conditions.
  • a multimedia classroom module such as a podium, a central control, a stand, a notebook, a projector, etc.
  • a classroom scene camera acquisition module such as a podium, a central control, a stand, a notebook, a projector, etc.
  • Automatic tracking detection module such as a podium, a central control, a stand, a notebook, a projector, etc.
  • recording workstation such as a podium, a central control, a stand, a notebook, a projector, etc.
  • B/S architecture on-demand module such as a lecture station
  • editing workstation such as a
  • CN106355350A (Publication Date January 25, 2017) discloses a smart campus system, including a campus management subsystem 1 and a campus teaching subsystem 2, wherein the smart reading assessment subsystem can be based on the frequency of the received students entering and leaving the reading room. Time, reading the name and quantity of the book, analyzing and calculating the rankings and presenting the rankings on the cloud interactive electronic blackboard 108 to stimulate the students' enthusiasm for learning.
  • CN105306861A (Publication Date February 3, 2016) discloses a reliable teaching and recording method of the system, which separates the recording and classification of classified data, generates a unified time stamp for marking, and simpleizes the data to be encrypted. Segmentation, establish correspondence table, obtain recording data separately according to needs, realize smooth data transmission, and use the local terminal client to organically combine these data, and even only obtain some data for playback according to the needs of the client, the system Sexually solved the problem of teaching and broadcasting.
  • CN103295171A (Publication Date September 11, 2013) discloses an automatic teaching method for ST teaching based on intelligent recording and broadcasting system, including audio and video on-site collection and recording and broadcasting system, network transmission system and remote broadcasting system, including the following units: Obtaining the switching mode of the audio and video field collection and recording and broadcasting system in the recording process; 2. Converting the switching mode and generating the xml file; 3. Defining the parameters of the xml file in the video source file for the behavior of the teacher and the student; Fourth, calculate the teacher's behavior percentage, student behavior percentage and conversion rate; Fifth, use the web interface to display the ST behavior map.
  • the invention can realize the teacher recording and broadcasting course, and the recording and broadcasting host converts the intelligent switching information of the video source position into the teacher behavior information sequence table and the student behavior information sequence table. After the video recording is completed, after the automatic encoding, Directly generate an intuitive ST histogram, calculate the conversion rate of this lesson and judge the type of teaching according to the norm.
  • CN106485964A (Publication Date March 08, 2017) discloses a system for recording and on-demand of classroom teaching, including: in the course of recording a course, according to the main points of the lecture, by generating a specific time stamp identification, for recording classroom teaching
  • the data is marked and segmented, and a corresponding relational database of the classroom explanation points and the segmentation teaching data is constructed; the classroom teaching data may be combined data composed of an action stream, an audio stream and an image stream.
  • the "marking segmentation" of the recorded classroom teaching data of the present invention does not substantially cut or segment the recorded classroom teaching data, but is segmentedly identified by a timestamp identifier, and such marking segmentation may be Levels, not one segment only corresponds to one point of explanation.
  • the method of timestamp identification facilitates the different levels of "segment identification data" to establish correspondence according to needs.
  • the course recording step is used for recording the classroom teaching data, and according to the time sequence of the lecture explanation points, the recorded classroom teaching data is segmentally identified, and the segmented marking classroom data corresponding to the classroom explanation points is formed, and the classroom explanation is established. Key points and corresponding database of segmentation marked classroom data.
  • the lecture points include different levels of different levels of affiliation.
  • the segment mark classroom data can correspond to the corresponding specific lower level points and their high-level points. And establishing a correspondence list in the corresponding association database according to a time relationship.
  • the collection device collects the image data stream + time stamp, audio data stream + time stamp and action data stream + time stamp respectively delivered by the teacher, and distributes them in real time through the server to realize online live broadcast of the classroom, and the student user terminal obtains three kinds of distribution in real time.
  • the image data stream obtained by the acquisition device + time stamp, audio data stream + time stamp and action data stream + time stamp After processing, it is stored in a storage device, which may be local storage (local disk array) or network cloud storage and any combination thereof.
  • the technical problems to be solved by various teaching systems in the prior art mainly include the techniques of recording, online sharing and interactive learning in the teaching process, aiming to collect classroom teaching through the recording and broadcasting system, and transmit the collected teaching data through the network.
  • the classroom teaching can be reproduced in the student user client to achieve the purpose of network teaching.
  • the inventors of this application have implemented the technical projects in the first-line teaching of primary and secondary schools, especially in the research of remote mountainous areas.
  • the online teaching courses provided in the developed areas due to the teaching background and the knowledge background, the students in other areas are very It is difficult to learn directly. Even if follow-up learning is carried out, the learning effect is relatively poor. It is necessary for local teachers to learn according to the online course first, and then refer to the teaching method of the online teaching course and then combine the actual situation to carry out the actual teaching activities through the local classroom teaching method. Objectively speaking, the teaching subject and core strength of primary and secondary school education are still primary and secondary school teachers for a long time now and in the future.
  • the inventors have not found that there is a follow-up teaching scheme based on the Internet teaching platform in the prior art.
  • the present invention is directed to the problems existing in the prior art discovered by the inventors.
  • On the Internet teaching platform through the teaching and recording system, in the process of following the teacher in the follow-up classroom teaching, the prior data of the relevant data is passed. And after-the-fact collection, analysis and evaluation, providing real-time analysis, guidance and help, so as to analyze and guide the entire follow-up classroom teaching, which helps to improve the efficiency of follow-up teaching and the improvement of teaching effect.
  • the present invention provides
  • a follow-up teaching system based on an internet teaching platform the internet teaching platform has a classroom teaching recording function, and the following teaching system comprises the following units:
  • the standard course forming unit is used to collect the classroom teaching data of the standard teacher through the teaching and recording system of the Internet teaching platform, and segment the classroom teaching data, for example, into a pre-class test stage, a class-teaching stage, and a classroom practice stage. Each stage is identified by time identification information, and the time identification information is saved together with the classroom teaching data to constitute standard teaching recording and broadcasting data, thereby forming a standard teaching recording and broadcasting course;
  • the standard course forming unit specifically includes:
  • the relation data construction unit is configured to divide the knowledge syllabus of the classroom syllabus of each course, use the knowledge points as data items, and generate keywords according to the knowledge points, and establish a correspondence relationship between the keywords and the knowledge points, based on the data items. According to the comparison with the behavior information of the exercises before the class test and the exercises of the exercises, the relationship between the various data and the knowledge points is established, thereby constructing the relational database;
  • the standard teaching recording unit collects classroom teaching data through the teaching recording and broadcasting equipment of the teaching recording and broadcasting system, for example, using image capturing equipment, audio collecting equipment and/or motion collecting equipment to respectively collect image data, audio data, motion data, and the data It can be saved in the form of data stream, and time stamped by time stamp;
  • Pre-class test analysis unit after the start of the classroom teaching, before the lecture stage, the student pass Pass the basic knowledge test of the student terminal, analyze the test results in real time, and form the analysis data of the pre-test test results;
  • the analysis unit is practiced in the classroom. Before the end of the classroom teaching, after the lecture period in the class, the students conduct a practice test through the student terminal, and analyze the test results in real time to form an analysis result of the practice results.
  • the voice recognition conversion unit is configured to convert the audio data of the classroom teaching data into voice text information by using a voice recognition technology, and count the keyword word frequency of the standard voice text information corresponding to each knowledge point.
  • the standard voice text information includes time stamp information of the audio data, so that the correspondence between the voice text and the audio data can be established based on the time stamp information, so that the standard voice text information can be subtitled when the standard teaching recording course is called back on-demand.
  • the way to display is a simple, but not limited to, chat, chat, etc.
  • the knowledge point division includes three steps:
  • the first step is to divide the classroom syllabus into basic knowledge and new knowledge as a primary data item.
  • the second step further dividing the basic knowledge into a plurality of basic knowledge points, and further dividing the newly-recommitted knowledge into a plurality of newly-learned knowledge points as secondary data items;
  • the third step further improve the data structure of the relational database according to the relationship between the basic knowledge points and the newly granted knowledge points.
  • the following teaching recording unit specifically includes:
  • a relation data invoking unit configured to retrieve the relational database at the beginning of following the classroom teaching, and provide data support for the following execution unit functions;
  • the classroom teaching data is collected through the teaching recording and broadcasting device of the teaching recording and broadcasting system, for example, image data, audio data, and motion data are respectively collected by using an image capturing device, an audio collecting device, and/or a motion collecting device.
  • Image data can be saved in the form of data streams, and time stamped by time stamps;
  • test analysis results are compared with the pre-test test analysis results of the standard course, and the following teachers are provided with the students' knowledge of the basic knowledge points and the differences with the standard classroom students, according to the difference situation and the knowledge point related information of the relational database, Combined standard Teaching time for knowledge points in the classroom, giving advice on the teaching points of the knowledge points;
  • the analysis unit is practiced in the classroom. Before the end of the classroom teaching, after the lecture period in the class, the students conduct a practice test through the student terminal, and analyze the test results in real time to form the analysis data of the practice results.
  • the time prompt information is generated and displayed on the teacher terminal, so that it is convenient to follow the teacher to grasp the teaching progress in the class teaching.
  • the following teaching analysis unit specifically includes:
  • a voice recognition conversion unit configured to convert the audio data of the following teaching recording data into voice text information by using a voice recognition technology, and count the frequency of keyword words following the voice text information corresponding to each knowledge point, the keyword and The keywords in the standard course are consistent;
  • the text similarity analyzing unit is configured to compare and analyze the keyword frequency corresponding to each knowledge point in the standard phonetic text information with the keyword word frequency corresponding to each knowledge point in the voice text information to determine the following voice text information and standard The similarity of voice text information;
  • the split-screen comparison display unit is used for displaying the recorded follow-up teaching course and the standard teaching course to the follow-up teacher in the form of double-window or multi-window on-screen display or multi-screen synchronous display, thereby realizing an intuitive comparison.
  • the split screen comparison display unit can also perform the following functions: comparing pre-class test analysis results, suggesting teaching time and actual teaching time comparison, following the similarity comparison between the voice text information and the standard voice text information, and/or attending Practice the comparison of test results.
  • the following teaching analysis unit further includes:
  • the improvement suggestion generating unit is configured to, according to the knowledge point-based association relationship between various data determined according to the relational database during the split screen comparison display process, combine the above comparison results, and provide the following stages in the teaching process Evaluation information and suggestions for improvement.
  • the following teaching analysis unit further includes:
  • the following degree calculation unit is configured to calculate the following coefficient F n for each follow-up teaching, and the multiple following coefficients F n in a certain period are made into a follow-up coefficient change curve, which is displayed to the following teacher, and follows the coefficient calculation formula:
  • ST i represents the suggested teaching time of the knowledge point i
  • PT i represents the actual teaching time of the knowledge point i
  • i 1, 2...n
  • n is a positive integer, which is used to indicate the number of knowledge points
  • ⁇ represents the i-th knowledge point.
  • E1 indicates the evaluation data for the follow-up teacher
  • E2 indicates the evaluation data for the standard teacher.
  • the evaluation is usually given by the student through the Internet teaching platform, and the two evaluation data adopt the same standard;
  • S1 means to follow the average score of each class in the classroom, and S2 means the average score of each class in the standard classroom;
  • the invention relies on the internet teaching platform and takes the teaching recording and broadcasting system as the main means of realization.
  • a standard teaching recording and broadcasting course with segmentation features is formed.
  • follow the teacher to implement local follow-up teaching compare the test results of the basic knowledge of the students, compare the test results of the standard classrooms, combine the teaching time of the knowledge points in the standard courses, provide guidance for the follow-up teachers to give lectures, and implement the actual implementation. The situation is recorded and compared.
  • the follow-up teacher will show the follow-up teaching and comparison with the same screen multi-window or multi-screen simultaneous display.
  • FIG. 1 is a schematic structural diagram of an internet teaching platform of the present invention
  • Figure 2 is a schematic diagram of the main unit of the follow-up teaching system of the present invention.
  • Figure 3 is a schematic diagram of a subunit of a standard course forming unit of the present invention.
  • Figure 4 is a schematic diagram of a subunit of the following teaching recording unit of the present invention.
  • Figure 5 is a schematic diagram of a subunit of the follow-up teaching analysis unit of the present invention.
  • the Internet teaching platform 100 includes a standard teaching recording and broadcasting system 101, a follow-up teaching and recording system 102, a standard teacher terminal 1011, a follow-up teacher terminal 1021, a standard teaching recording device 1012, a follow-up teaching recording device 1022, and a standard student.
  • the terminal 1013 and the follow-up student terminal 1023 may further include various image, sound, and operation action collecting devices, and the like.
  • the terminal of the present invention comprises: a processor, a network module, a control module, a display module and a smart operating system; the terminal may be provided with a plurality of data interfaces for connecting various extension devices and accessories through a data bus; the intelligent operation
  • the system includes Windows, Android and its improvements, iOS, on which applications can be installed and run to implement various applications, services and application stores/platforms under the intelligent operating system.
  • the terminal of the invention can pass RJ45/Wi-Fi/Bluetooth
  • Connections such as /2G/3G/4G/G.hn/Zigbee/Z-ware/RFID are connected to the Internet and connected to other terminals or other computers and devices via the Internet via 1394/USB/Serial
  • a processor is defined to include, but is not limited to, an instruction execution system such as a computer/processor based system, an application specific integrated circuit (ASIC), a computing device, or a non-transitory or non-transitory computer.
  • a readable storage medium acquires or acquires hardware and/or software systems that execute and execute instructions contained in a non-transitory storage medium or non-transitory computer readable storage medium.
  • the processor may also include any controller, state machine, microprocessor, internetwork-based entity, service or feature, or any other analog, digital, and/or mechanical implementation thereof.
  • the computer readable storage medium is defined to include, but is not limited to, any medium capable of containing, storing, or maintaining programs, information, and data.
  • the computer readable storage medium includes any of a number of physical media such as an electronic medium, a magnetic medium, an optical medium, an electromagnetic medium, or a semiconductor medium. More specific examples of suitable computer readable storage media and memory for use by terminals and servers include, but are not limited to, magnetic computer disks (such as floppy disks or hard drives), magnetic tape, random access memory (RAM), read only memory (ROM), Erasable Programmable Read Only Memory (EPROM), compact disc (CD) or digital video disc (DVD), Blu-ray memory, solid state drive (SSD), flash memory.
  • magnetic computer disks such as floppy disks or hard drives
  • RAM random access memory
  • ROM read only memory
  • EPROM Erasable Programmable Read Only Memory
  • CD compact disc
  • DVD digital video disc
  • Blu-ray memory solid state drive (SSD), flash memory.
  • the Internet may include a local area network and a wide area Internet, and may be a wired Internet or a wireless Internet, or any combination of these networks.
  • the Internet teaching platform has a classroom teaching recording function, and includes the following units: a standard course forming unit, a follow-up teaching recording unit, and a follow-up teaching. Analysis unit.
  • the standard course forming unit is used to collect the classroom teaching data of the standard teacher through the teaching and recording system of the Internet teaching platform, and segment the classroom teaching data, for example, into a pre-class test stage, a class-teaching stage, and a classroom practice stage. Each stage is identified by time identification information, and the time identification is saved together with the classroom teaching data to constitute standard teaching recording and broadcasting data, thereby forming a standard teaching recording and broadcasting course;
  • the internet teaching platform may be a variety of available internet teaching platforms that have access to the Internet and have interactive functions and have the ability to record the classroom teaching process.
  • Such Internet teaching platforms generally include teacher terminals, student terminals, multimedia teaching devices, classroom teaching recording devices, and local or cloud servers, which are wired or wireless, local or wide-area. Networking for communication connections.
  • the teaching recording and broadcasting system can be communicably connected with the internet teaching platform, and can respectively collect image data, audio data, and motion data through recording devices such as an image capturing device, an audio collecting device, and/or an operation motion collecting device (for example, a teaching terminal operating action) , such as the operation data of the electronic whiteboard operation, the drawing action of the drawing board, etc.), the classroom teaching data, the statistical analysis of other real-time data generated by the teaching process, and the storage, uploading, etc. of various data obtained. .
  • recording devices such as an image capturing device, an audio collecting device, and/or an operation motion collecting device (for example, a teaching terminal operating action) , such as the operation data of the electronic whiteboard operation, the drawing action of the drawing board, etc.)
  • an operation motion collecting device for example, a teaching terminal operating action
  • the recorded data can be saved in a data stream to a local storage device, a server storage device of the Internet teaching platform, or a cloud storage device connected to the server, such as a disk storage array.
  • the so-called standard teacher refers to such a teacher.
  • the teaching and recording course of classroom teaching is used as a standard teaching recording course. It is followed by the teacher to learn reference or recommended to follow the teacher to learn reference. follow the teacher as the reference standard for imitating follow-up teaching. Perform local classroom instruction.
  • the standard teaching and recording course can be shared on the platform through the Internet, and users who log in to the teaching platform through the Internet can obtain downloading, browsing, and learning operations.
  • the segmentation process refers to that the classroom teaching process can be divided into a pre-test test phase, a lecture-in-class lecture phase, and a queuing practice phase, and the three phases generally have a logical relationship before and after the chronological order. These three phases are segmented and identified by a time identifier such as a timestamp.
  • each stage of the three stages, especially the in-class teaching stage can be further divided into multiple sub-segments.
  • the lecture stage is divided into several lecture sub-segments.
  • a relational database with knowledge points as the associated points or ties is gradually established, so that the exercises in the pre-test stage, the teaching of the teaching points in the lectures, and the exercises in the classroom are established with each other.
  • the knowledge point is the key point or the relationship of the link, and the relationship is saved to the relation data.
  • segmentation identification differentiated identification
  • time identifier a time identifier
  • the teaching recording unit which is used to collect the classroom teaching data of the follow-up teacher through the teaching and recording system of the Internet teaching platform, and analyze the pre-test test result data of the classroom teaching data in real time. Comparing the results of the real-time analysis with the corresponding data of the standard teaching recording data, providing the recommended teaching time for following the teacher's in-class teaching stage, and recording the recommended teaching time and the actual teaching time, the recommended teaching time and the actual teaching time Together with the classroom teaching data, the data is constructed to follow the teaching and recording data, thereby forming a follow-up instructional recording course;
  • the teacher terminal For the recommended teaching time, it is preferable to display on the screen of the teacher terminal in a time prompt manner, so that the teacher can reasonably grasp the teaching progress according to the time prompt.
  • the so-called follow-up teacher is a teacher who imitates or follows the standard teacher's instructional recording course to perform local classroom teaching.
  • the following instructional recording and recording course can also be shared on the platform through the Internet.
  • followers can also choose not to upload to the Internet teaching platform, or upload to the Internet teaching platform, but only for a certain range of students such as the class or the school. The students download, browse, learn, etc., that is, they can use the hierarchical sharing of the teaching and recording courses according to the wishes of the followers.
  • the teaching recording and broadcasting system may be the same as the teaching recording system of the standard course, or may be different, as long as it is guaranteed to obtain the same standard or resolution classroom recording data.
  • the recording system used by the standard teacher uses the same type of equipment as the recording system used by the teacher, and it is particularly preferred that the equipment is installed in the classroom in a consistent manner to maintain the data collected by the recording system. Consistent in technical parameters.
  • the teacher's teaching and recording data can also be saved as a data stream to a local storage device, a server storage device, or a cloud storage device connected to the server, such as a disk storage array. Can be consistent with the standard teacher, no longer repeat them here.
  • the processing of the comparison may be performed by a local server, or the data may be submitted to the cloud for analysis and comparison by a dedicated cloud computing center, which may be a company providing commercial services.
  • all operations such as alignment and analysis are performed by a local server or computer device.
  • the standard course forming unit specifically includes: a relationship data construction unit, a standard teaching recording unit, a pre-school test analysis unit, a classroom practice analysis unit, and a voice recognition conversion unit.
  • the relation data construction unit is configured to divide the knowledge syllabus of the classroom syllabus of each course, use the knowledge points as data items, and generate keywords according to the knowledge points, and establish a correspondence relationship between the keywords and the knowledge points, based on the data items. According to the comparison with the behavior information of the exercises before the class test and the exercises of the exercises, the relationship between the various data and the knowledge points is established, thereby constructing the relational database;
  • the knowledge point division includes three steps:
  • the first step is to divide the classroom syllabus into basic knowledge and new knowledge as a primary data item.
  • the second step further dividing the basic knowledge into a plurality of basic knowledge points, and further dividing the newly-recommitted knowledge into a plurality of newly-learned knowledge points as secondary data items;
  • the third step further improve the data structure of the relational database according to the relationship between the basic knowledge points and the newly granted knowledge points.
  • the relational database is independently stored as part of standard teaching recording data.
  • the course of standard teacher-executed classroom teaching here mainly refers to the process of teaching the course, including the teaching of basic knowledge (usually retrospective teaching) and the teaching of new knowledge, establishing knowledge or knowledge points and recording.
  • the time period is divided by time identification preferred time stamp information, and saved to the relational database.
  • the correspondence between the basic knowledge point and the standard recording data sub-period is further established, and the sub-period is a further subdivision of the time period.
  • the division of the time period or the sub-period may be manually clicked and confirmed by the standard teacher in the course, or may be divided according to the keyword search or manual distinction after the event.
  • a relational database of "classroom teaching target data items - pre-class test exercises - teaching segmentation data - exercises with exercises" which are identified by knowledge or knowledge points may be formed. It makes it possible to segment the standard teaching and recording courses and establish the corresponding relationship before and after.
  • the standard teaching recording unit collects classroom teaching data through the teaching recording and broadcasting equipment of the teaching recording and broadcasting system, for example, using an image collecting device, an audio collecting device, and/or a motion collecting device to separately collect images. Like data, audio data, and motion data, these data can be saved in the form of data streams and time-stamped by timestamps;
  • the pre-class test analysis unit after the start of the classroom teaching, before the lecture stage, the students conduct basic knowledge test through the student terminal, analyze the test results in real time, and form pre-test test result analysis data to understand the current students' relevant foundation.
  • Knowledge preferably the mastery of the basic knowledge points, so that in the following lessons, it is more targeted and convenient for subsequent standard teaching.
  • test analysis data can be provided not only in real time, for example, to standard teachers, but also separately, preferably, as part of standard teaching recording data, and saved together.
  • the mastery of knowledge is preferably the mastery of new knowledge points, providing technical support for teachers' self-analysis teaching process, and facilitating teachers to understand the teaching effect.
  • the analysis data of the classroom exercise can be provided not only in real time, for example, to a standard teacher, but also separately, preferably, as a component of standard teaching recording data, and saved together.
  • the voice recognition conversion unit is configured to convert the audio data of the classroom teaching data into standard voice text information by using a voice recognition technology, and count the keyword word frequency of the standard voice text information corresponding to each knowledge point.
  • the standard voice text information includes time identification information of the original audio data, such as preferred time stamp information, so that the correspondence between the voice text and the audio data can be established based on the time identification information.
  • the standard voice text information with the time identification information is saved as part of the standard teaching recording data, and is displayed on the terminal device in the form of subtitles during the on-demand playback.
  • the data entry in the relationship data construction unit includes a correspondence between the knowledge or the knowledge point and the recording data period (based on the time identifier, preferably divided by the time stamp information), and the standard voice text information is divided, and the knowledge is established and knowledged. Or the correspondence of knowledge points, and as part of the standard teaching recording data, save together.
  • the following teaching recording unit specifically includes: a relationship data calling unit, a follow-up teaching recording unit, a pre-school test comparison unit, and a classroom practice analysis unit.
  • the relational data invoking unit is configured to retrieve the relational database at the beginning of following the classroom teaching, provide data support for the following units, and may follow the start of the classroom teaching, or may open At the beginning of the process, as long as you do not delay the implementation of the teaching process.
  • These recording devices preferably remain the same as the previous corresponding device models, and preferably in the classroom, such as the orientation of the image capture device, the distance between the audio capture device and the lecturer, the settings of the electronic whiteboard, and the like.
  • test analysis results are compared with the pre-test test analysis results of the standard course, and the following teachers are provided with the students' knowledge of the basic knowledge points and the differences with the standard classroom students, and according to the difference, according to the knowledge points of the relational database Information, combined with the teaching time of the knowledge points in the standard classroom, gives advice on the teaching time of the knowledge points.
  • the current suggestion following teaching time is given according to the standard teaching time.
  • the time prompt information is generated and displayed on the teacher terminal, so that it is convenient to follow the teacher to grasp the teaching progress in the class teaching.
  • the monastic exercise analysis data may be saved separately or as ancillary data together with the teaching recording data.
  • the following teaching analysis unit specifically includes: a voice recognition conversion unit, a text similarity analysis unit, a split screen comparison display unit, an improvement suggestion generation unit, and a followness calculation unit.
  • a voice recognition conversion unit configured to convert the audio data of the following teaching recording data into voice text information by using a voice recognition technology, and count the keyword frequency of the voice text information corresponding to each knowledge point, the keyword and the standard The keywords in the course are consistent;
  • the voice text information with the time identification information is saved as a component of the following teaching recording data, and is displayed on the terminal device in the form of subtitles during the on-demand playback.
  • the voice text information is divided according to the correspondence between the knowledge or the knowledge point and the recording data period (based on the time stamp is preferably the time stamp information), and the correspondence relationship with the knowledge or the knowledge point is established, and the teaching is followed. Record the components of the data and save them together.
  • the correspondence between the knowledge point and the voice is defined according to the time stamp, or is differentiated.
  • the text similarity analyzing unit is configured to compare and analyze the keyword frequency corresponding to each knowledge point in the standard phonetic text information with the keyword word frequency corresponding to each knowledge point in the voice text information to determine the following voice text information and standard The similarity of voice text information.
  • the setting of the similarity coefficient is given on the basis of a large number of statistical data.
  • the selection of the similarity coefficient is within this range.
  • the teaching can be kept in the class without missing the knowledge points, and the independence and freedom of following the teacher's expression can be maintained.
  • Sexuality the similarity coefficient is too high, which will give the parrot a similar and completely imitative teaching. It is not conducive to following the teacher's growth and stimulating self-awareness. If the similarity coefficient is too low, it may face the problem of insufficient teaching points.
  • the speech text segmentation comparison based on the knowledge points is performed according to the correspondence between the speech text information determined by the relational database and the knowledge or the knowledge points, so as to more accurately determine the similarity coefficients of the two speech texts.
  • the split-screen comparison display unit is used for displaying the recorded follow-up teaching course and the standard teaching course to the follow-up teacher in the form of double-window or multi-window on-screen display or multi-screen synchronous display, thereby realizing an intuitive comparison.
  • the split screen comparison display unit can be further used for comparing pre-class test analysis results, suggesting teaching time and actual teaching time comparison, following the similarity comparison between the speech text information and the standard speech text information, and/or the practice test. The alignment of the results.
  • the correlation analysis data of each stage and sub-segment such as the pre-test test phase.
  • the analysis of the situation is compared, and based on the knowledge points suggested, the teaching time is compared with the actual teaching time, the similarity coefficient of the speech text of each stage and sub-segments, and the comparison of the test results of the practice.
  • the improvement suggestion generating unit is configured to combine the analysis results of the pre-test, the in-class lecture and the queuing exercise according to the knowledge point-based association relationship between various data determined according to the relational database during the split-screen comparison display process. , give evaluation information and suggestions for improvement in all stages of the teaching process.
  • the evaluation information and the improvement suggestion are selected in an optional manner by the follow-up teacher according to the self-evaluation combined with the analysis result.
  • the follow-up teacher can input the evaluation information and the improvement suggestion after viewing the comparison.
  • the evaluation information and the improvement suggestion confirmed by the following teacher or the input are saved to the following teaching recording data as a part of the following recorded data through the association relationship with each of the stages and sub-segments.
  • the following degree calculation unit is configured to calculate the following coefficient F n for each follow-up teaching, and the multiple following coefficients F n in a certain period are made into a follow-up coefficient change curve and displayed to the following teacher.
  • the calculation of the following coefficient is mainly based on the correlation data of the standard teacher as the basis of the original comparison, and is obtained by the following formula, wherein the relevant data used may include: following the teacher's suggestion time ST i and the actual teaching time PT for the knowledge point i i , the evaluation data E1 for the follow-up teacher and the evaluation data E2 for the standard teacher, the average score S1 for each class in the classroom, and the average score S2 for the standard classroom for each class.
  • the following coefficient can reflect to some extent the current length of the follow-up teacher, the acceptance of the student and the improvement of the teaching effect.
  • ST i represents the suggested teaching time of the knowledge point i
  • PT i represents the actual teaching time of the knowledge point i
  • i 1, 2...n
  • n is a positive integer, which is used to indicate the number of knowledge points
  • ⁇ represents the i-th knowledge point.
  • E1 indicates the evaluation data for the follow-up teacher
  • E2 indicates the evaluation data for the standard teacher.
  • the evaluation is usually given by the student through the Internet teaching platform, and the two evaluation data adopt the same standard;
  • S1 means to follow the average score of each class in the classroom, and S2 means the average score of each class in the standard classroom;
  • the above value range can reflect the core of following teaching, and can also take into account the student's reflection and actual effect, and can better balance the relationship of these factors.
  • the invention relies on the internet teaching platform and takes the teaching recording and broadcasting system as the main means of realization.
  • a standard teaching recording and broadcasting course with segmentation features is formed.
  • follow the teacher to implement local follow-up teaching compare the test results of the basic knowledge of the students, compare the test results of the standard classrooms, combine the teaching time of the knowledge points in the standard courses, provide guidance for the follow-up teachers to give lectures, and implement the actual implementation. The situation is recorded and compared.
  • the follow-up teacher will show the follow-up teaching and comparison with the same screen multi-window or multi-screen simultaneous display.

Abstract

本发明提供一种基于互联网教学平台的跟随教学系统，使用互联网教学平台的录播系统，通过录制标准教师的课堂教学，并对录制的课堂教学数据进行标准化分段处理后，形成标准教学录播课程，跟随教师在学习标准教学录播课程之后，可以模仿标准教师执行本地课堂教学，同样通过录播系统进行录制，使用本发明的系统，通过对采集的各种数据的关系构建、统计、分析和比对等处理，可以实现对跟随教师的教学过程进行事前、事中和事后的记录和指导，帮助跟随教师有效完成本地课堂教学。

Description

一种基于互联网教学平台的跟随教学系统 技术领域
本发明涉及互联网教学技术领域，特别是涉及一种基于互联网教学平台的跟随教学系统。
背景技术
近些年来，互联网教学技术蓬勃发展，涌现出一大批各式各样的互联网教学平台。这些互联网教学平台借助于互联网技术，使得教学资源的分享更加方便，他们主要将课堂教学、讲座、会议等现场的音视频内容，甚至集成演示的内容制作成多媒体文件，存储于连接了互联网的教学服务器上，通过点播和直播技术，用户可以随时随地通过互联网在线观看或回顾这些教学内容。借助于日益普及的网络，特别是移动互联网，互联网用户能够方便的开展网上教学、远程教学、课堂直播等。然而，这些互联网教学平台主要关注的是，教学过程的录制以及教师与学生的互动，比如现有技术中的这些教学录播系统或教学平台：
CN101833882A(公开日2010年9月15日)公开了一种用于教学的课程录制系统，包括多媒体教室模块(如讲台、中控、展台、笔记本、投影机等等)、教室场景摄像机采集模块、自动跟踪探测模块、录播工作站、B/S架构点播模块、编辑工作站、录播系统资源管理模块以及外部条件等。
CN106355350A(公开日2017年1月25日)公开了一种智慧校园系统，包括校园管理子系统1和校园教学子系统2，其中，智慧阅读考核子系统可以根据接收到的学生进出阅览室的频率、时间、阅读书籍名称和数量等数据，进行分析计算并排名后将排行榜呈现在云互动电子黑板108上，激发学生的学习热情。
CN105306861A(公开日2016年2月3日)公开了一种系统的可靠的教学录播方法，从分类数据的录制和分类单独存储，生成统一的时间戳进行标记，到对需要加密的数据进行简单分割，建立对应关系表，根据需要单独获取录播数据，实现流畅的数据传送，而使用本地的终端上客户端将这些数据有机组合起来，甚至可以根据客户端的需要仅仅获取部分数据进行播放，系统性的解决了教学录播的问题。
CN103295171A(公开日2013年9月11日)公开了一种基于智能录播系统的S-T教学自动分析方法，包括音视频现场采集和录播系统，网络传输系统以及远程播放系统，包括如下单元：一、获取音视频现场采集和录播系统在录制过程信号源的切换方式；二、对切换方式进行转换处理并生成xml文件；三、定义xml文件的视频源文件中参数为教师和学生的行为；四、计算教师行为百分比、学生行为百分比和转化率；五、利用网页界面展示S-T行为图。本发明能实现教师边录播课程，录播主机通过对视频源机位的智能化切换信息转化成教师行为信息序列表和学生行为信息序列表，视频录制完成后，经过自动化编码后，便可直接生成直观的S-T直方图，计算出本课例的转化率及依据常模判断出教学类型。
CN106485964A(公开日2017年03月08日)公开了一种课堂教学的录制和点播的系统，包括：在课程录制过程中，根据课堂讲解要点，通过生成特定时间戳标识的方式，对于录制课堂教学数据进行标记分段，并且构建课堂讲解要点与分段教学数据的对应的关联关系数据库；所述的课堂教学数据可以是由动作流、音频流和图像流组成的组合数据。特别优选的，本发明的录制课堂教学数据的“标记分段”并不实质上切割或者切分录制的课堂教学数据，只是通过时间戳标识进行分段性标识，这样的标记分段可以是多个层次的，并不是一个分段只对应一个讲解要点，采用时间戳标识的方式方便了不同级别的“分段标识数据”可以根据需要建立对应关系。课程录制步骤，用于录制课堂教学数据，并根据课堂讲解要点的时间顺序，对所述录制课堂教学数据进行分段标识，形成与所述课堂讲解要点对应的分段标记课堂数据，建立课堂讲解要点与分段标记课堂数据的对应关联数据库。课堂讲解要点包括多个具有高低从属关系的不同层级要点，根据录制的课堂教学数据涉及的不同层级的要点，所述分段标记课堂数据可以对应相应的具体底层级要点及其所属的高层级要点，并根据时间关系在所述对应关联数据库中建立对应关系列表。采集设备分别采集教师授课的图像数据流+时间戳、音频数据流+时间戳和动作数据流+时间戳，并通过服务器实时分别分发，实现课堂的在线直播，学生用户终端实时获取分发的三种数据流，根据时间戳在本地重新组合后实现在线学习。其中，时间戳是由教学服务器统一生成的。将通过采集设备获得的图像数据流+时间戳、音频数据流+时间戳和动作数据流+时间戳进行 处理之后，存储到存储设备中，所述存储设备可以为本地存储器(本地磁盘阵列)或网络云端存储器以及他们的任意组合。
可见，现有技术中各种教学系统所要解决的技术问题主要在于，教学过程的录制、在线分享和交互学习等方面的技术，旨在通过录播系统采集课堂教学，通过网络传输采集的教学数据，可以在学生用户客户端重现课堂教学，实现网络教学的目的。
本申请的发明人在深入中小学教学一线实施技术项目，特别是深入边远山区调研时，对于教育发达地区提供的网络教学课程，由于教学背景以及知识背景的等方面的原因，其他地区的学生很难直接进行学习，即使进行跟随学习，学习效果也比较差，需要本地教师先根据网络课程进行学习，然后参照网络教学课程的教学方式再结合实际情况，通过本地课堂教学方式开展实际教学活动。客观来说，中小学学校教育的教学主体和核心力量在现在和未来相当长时间内肯定还是中小学教师，可以预见未来各种现代化教学手段将越来越多的被采纳，但是主要教学活动还将是课堂授课的方式。目前来看，对于中小学学校教育，各种网络教学系统主要起到课堂教学实时协助、过程延伸等作用，不太可能完全替代课堂教学。一线教师，特别是渴望提升教学水平的欠发达地区教师，存在这样的需求，欠发达地区教师(本地教师)在对教育发达地区提供的网络教学课程进行跟随式教学的过程中，也就是类似模仿式教学的过程中，希望借助能够对跟随式教学过程实时分析和协助的技术或者软件系统，对本地教师的跟随式教学过程提供技术支持，从而可以有助于本地教师教学水平的提高，有助于改进本地教学的教学质量和教学效果，也就是，现有技术中还没有提出通过形成标准教学录播课程和跟随教学录播课程，进行分段比对，同步回放显示给跟随教师，从而对跟随式课堂教学进行分析指导。
通过对现有技术的检索和分析，发明人还未发现现有技术中存在基于互联网教学平台的跟随教学方案。本发明正是针对发明人发现的现有技术中存在的问题，在互联网教学平台之上，通过教学录播系统，在跟随教师开展跟随式课堂教学过程中，通过对有关数据的事先、事中和事后的采集、分析和评价，提供实时分析、指导和帮助，从而对整个跟随式课堂教学进行分析指导，有助于跟随式教学效率和教学效果的提升。
发明内容
为了解决上述技术问题，本发明提供
一种基于互联网教学平台的跟随教学系统，互联网教学平台具有课堂教学录制功能，所述跟随教学系统包括以下单元：
标准课程形成单元，用于通过互联网教学平台的教学录播系统采集标准教师的课堂教学数据，对课堂教学数据进行分段处理，比如分为课前测试阶段、课中讲授阶段和随堂练习阶段，各阶段以时间标识信息进行标识区分，所述时间标识信息与课堂教学数据一起保存构成标准教学录播数据，由此形成标准教学录播课程；
跟随教学录制单元，用于通过互联网教学平台的教学录播系统采集跟随教师的课堂教学数据，对课堂教学数据的课前测试结果数据进行实时分析，将实时分析的结果与标准教学录播数据的对应数据进行比对，根据比对结果为跟随教师的课中讲授阶段设置建议讲授时间，记录建议讲授时间与实际讲授时间，所述建议讲授时间、实际讲授时间与课堂教学数据一起保存构成跟随教学录播数据，由此形成跟随教学录播课程；
跟随教学分析单元，用于对跟随教学录播数据进行事后分析，与标准教学录播数据进行分段比对，包括各阶段的建议讲授时间和实际讲授时间比对、各阶段的语音文本信息比对，并将跟随教学录播课程与标准教学录播课程同步回放显示给跟随教师。
所述标准课程形成单元具体包括：
关系数据构建单元，用于将每堂课程的课堂教学大纲进行知识点划分，将知识点作为数据条目，并根据知识点生成关键词，建立关键词与知识点的对应关系，以数据条目为基础，根据与课前测试的习题和随堂练习的习题的属性信息的比对，建立各种数据之间的以知识点为关联点的关联关系，由此构建关系数据库；
标准教学录制单元，通过教学录播系统的教学录播设备采集课堂教学数据，比如，使用图像采集设备、音频采集设备和/或动作采集设备分别采集图像数据、音频数据、动作数据，所述数据可以分别以数据流的方式进行保存，通过时间戳进行时间标识；
课前测试分析单元，在课堂教学开始之后，课中讲授阶段之前，学生通 过学生终端进行基础知识测试，对测试结果进行实时分析，形成课前测试结果分析数据；
随堂练习分析单元，在课堂教学结束之前，课中讲授阶段之后，学生通过学生终端进行随堂练习测试，对测试结果进行实时分析，形成随堂练习结果分析数据；
语音识别转换单元，用于将课堂教学数据的音频数据通过语音识别技术转换成语音文本信息，并且统计各个知识点对应的标准语音文本信息的关键词词频数。
所述标准语音文本信息包括音频数据的时间戳信息，从而可以基于时间戳信息建立语音文本与音频数据的对应关系，使得在标准教学录播课程被点播回访时，标准语音文本信息可以以字幕的方式进行显示。
所述知识点划分包括三步：
第一步，将课堂教学大纲划分为基础知识和新授知识，作为一级数据条目，
第二步：将所述基础知识进一步划分为若干基础知识点，将所述新授知识进一步划分为若干新授知识点，作为二级数据条目；
第三步：根据基础知识点和新授知识点的关联关系，进一步完善关系数据库的数据结构。
所述跟随教学录制单元具体包括：
关系数据调用单元，用于在跟随课堂教学开始时调取所述关系数据库，为下面执行单元功能提供数据支持；
跟随教学数据采集单元，通过教学录播系统的教学录播设备采集课堂教学数据，比如，使用图像采集设备、音频采集设备和/或动作采集设备分别采集图像数据、音频数据、动作数据，所述数据可以分别以数据流的方式进行保存，通过时间戳进行时间标识；
课前测试比对单元，在跟随课堂教学开始之后，跟随课中讲授阶段之前，学生通过学生终端进行基础知识测试，对测试结果进行实时分析，形成课前测试结果分析数据，将所述课前测试分析结果与标准课程的课前测试分析结果进行比对，向跟随教师提供学生对于基础知识点的掌握情况和与标准课堂学生的差异，根据差异情况及所述关系数据库的知识点关联信息，结合标准 课堂上对于知识点的讲授时间，给出关于知识点的建议讲授时间；
随堂练习分析单元，在课堂教学结束之前，课中讲授阶段之后，学生通过学生终端进行随堂练习测试，对测试结果进行实时分析，形成随堂练习结果分析数据。
所述课前测试的习题和随堂练习的习题与标准教学中对应习题一致。
在给出建议讲授时间之后，生成时间提示信息，在教师终端上进行展示，便于跟随教师在课中讲授中掌握教学进度。
所述跟随教学分析单元具体包括：
语音识别转换单元，用于将所述跟随教学录播数据的音频数据通过语音识别技术转换成语音文本信息，并且统计各个知识点对应的跟随语音文本信息的关键词词频数，所述关键词与标准课程中的关键词一致；
文本相似分析单元，用于根据标准语音文本信息中各个知识点对应的关键词词频数与跟随语音文本信息中各个知识点对应的关键词词频数进行比对分析，以确定跟随语音文本信息与标准语音文本信息的相似度；
分屏比对展示单元，用于以双窗口或者多窗口同屏展示、或者多屏同步显示的方式向跟随教师同时展示录制的跟随教学课程与标准教学课程，从而实现直观的比对。
所述分屏比对展示单元还可以执行以下功能，进行课前测试分析结果对比、建议讲授时间和实际讲授时间比对、跟随语音文本信息与标准语音文本信息的相似度对比和/或随堂练习测试结果的比对。
所述跟随教学分析单元进一步包括：
改进建议生成单元，用于在分屏比对展示过程中，根据所述关系数据库确定的各种数据之间基于知识点的关联关系，结合上述比对结果，给出跟随教学过程中各个阶段的评价信息及改进建议。
所述跟随教学分析单元进一步包括：
跟随度计算单元，用于计算每次跟随教学的跟随系数Fn，将一定周期内的多次跟随系数Fn做成跟随系数变化曲线，展示给跟随教师，跟随系数计算公式：
Figure PCTCN2017111817-appb-000001
其中，
STi表示知识点i的建议讲授时间，PTi表示知识点i的实际讲授时间，i＝1,2…n，n是正整数，用于表示知识点的数量，δ表示第i个知识点的权重系数，其中δ1+...+δi＝1；
E1表示对于跟随教师讲授的评价数据，E2表示对于标准教师讲授的评价数据，评价通常由学生通过互联网教学平台给出，两个评价数据采用同样的标准；
S1表示跟随课堂每次随堂练习平均得分，S2表示标准课堂每次随堂练习平均得分；
α、β、γ作为平衡系数，α+β+γ＝1，α取值0.30-0.50，β取值0.10-0.30，γ取值0.20-0.40。
本发明以互联网教学平台作为依托，以教学录播系统为主要实现手段，通过对课堂教学过程的标准化和模块化分段处理，形成具有分段特征的标准教学录播课程，在此基础上，跟随教师实施本地跟随教学，通过对于学生基础知识掌握情况的测试，对比标准课堂的测试结果，结合标准课程上对于知识点的讲授时间，为跟随教师提供建议讲授时间的指导，并且对实际的执行情况进行记录和比对，为了进一步体现跟随教学的特质，在完成跟随课堂完成，形成跟随教学录播课程后，以同屏多窗口或多屏同时展示的方式，向跟随教师对比展示跟随教学和标准教学的异同，并且提供数据支持，包括语音文本相似度、生成改进的建议、计算跟随度等，从而可以为跟随教学提供有效的数据支持，有助于跟随教学效率的提升，有助于改进跟随教学的效果。
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实施例或示例中了解到。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对本发明实施例描述中所需要使用的附图作简单的介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据本发明实施例的内容和这些附图获得其他的附图。
图1是本发明的互联网教学平台的架构示意图；
图2是本发明的跟随教学系统的主要单元示意图；
图3是本发明的标准课程形成单元的子单元示意图；
图4是本发明的跟随教学录制单元的子单元示意图；和
图5是本发明的跟随教学分析单元的子单元示意图。
具体实施方式
以下将结合附图，对本发明的具体实施方式进行进一步详细的描述。
图1是本发明的互联网教学平台的架构示意图。如图1所示，互联网教学平台100，包括标准教学录播系统101、跟随教学录播系统102、标准教师终端1011、跟随教师终端1021、标准教学录制设备1012、跟随教学录制设备1022、标准学生终端1013、跟随学生终端1023，所述标准教学录播系统101和跟随教学录播系102还可以具体包括各种图像、声音和操作动作采集设备等。
本发明的终端包括：处理器、网络模块、控制模块、显示模块以及智能操作系统；所述终端上可以设有通过数据总线连接各种拓展类设备和配件的多种数据接口；所述智能操作系统包括Windows、Android及其改进、iOS，在其上可以安装、运行应用软件，实现在智能操作系统下的各种应用软件、服务和应用程序商店/平台的功能。
本发明的终端可以通过RJ45/Wi-Fi/蓝牙
/2G/3G/4G/G.hn/Zigbee/Z-ware/RFID等连接方式连接到互联网络，并借助互联网连接到其它的终端或其它电脑及设备，通过1394/USB/串行
/SATA/SCSI/PCI-E/Thunderbolt/数据卡接口等多种数据接口或者总线方式，通过HDMI/YpbPr/SPDIF/AV/DVI/VGA/TRS/SCART/Displayport等音视频接口等连接方式，来连接各种拓展类设备和配件，组成了一个会议/教学设备互动系统。带有软件形式的声音捕捉控制模块和动作捕捉控制模块，或通过数据总线板载硬件形式的声音捕捉控制模块和动作捕捉控制模块，来实现声控和形控功能；通过音视频接口连接显示/投影模块、麦克风、音响设备和其它音视频设备，来实现显示、投影、声音接入、音视频播放，以及数字或模拟的音视频输入和输出功能；通过数据接口连接摄像头、麦克风、电子白板、RFID读取设备，实现影像接入、声音接入、电子白板的使用控制和录屏，RFID读 取功能，并通过相应的接口可接入和管控移动存储设备、数字设备和其它设备；通过DLNA/IGRS技术和互联网络技术，来实现的包括多屏设备之间的操控、互动和甩屏等功能。
在本发明中，处理器定义为包括但不限于：指令执行系统，如基于计算机/处理器的系统、专用集成电路(ASIC)、计算设备、或能够从非暂时性存储介质或非暂时性计算机可读存储介质取得或获取逻辑并执行非暂时性存储介质或非暂时性计算机可读存储介质中包含的指令的硬件和/或软件系统。所述处理器还可以包括任意控制器，状态机，微处理器，基于互联网络的实体、服务或特征，或它们的任意其它模拟的、数字的和/或机械的实现方式。
在本发明中，所述计算机可读存储介质定义为包括但不限于：能够包含、存储或保持程序、信息及数据的任意介质。计算机可读存储介质包括许多物理介质中的任一种，如电子介质、磁性介质、光介质、电磁介质或半导体介质。合适计算机可读存储介质以及终端和服务器使用的存储器的更具体示例包括但不限于：磁性计算机盘(如软盘或硬驱)、磁带、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM)、光盘(CD)或数字视频光盘(DVD)、蓝光存储器、固态硬盘(SSD)、闪存。
在本发明中，互联网可以包括局域网和广域互联网，可以是有线互联网，也可以是无线互联网，或者这些网络的任意组合。
如图2所示，根据本发明的基于互联网教学平台的跟随教学系统的具体实施例，所述互联网教学平台具有课堂教学录制功能，包括以下单元：标准课程形成单元、跟随教学录制单元、跟随教学分析单元。
标准课程形成单元，用于通过互联网教学平台的教学录播系统采集标准教师的课堂教学数据，对课堂教学数据进行分段处理，比如分为课前测试阶段、课中讲授阶段和随堂练习阶段，各阶段以时间标识信息进行标识区分，所述时间标识与课堂教学数据一起保存构成标准教学录播数据，由此形成标准教学录播课程；
所述互联网教学平台可以是可以接入互联网的具有交互功能的并且具有对课堂教学过程进行录制功能的各种可用互联网教学平台。这样的互联网教学平台一般包括，教师终端、学生终端、多媒体教学设备、课堂教学录制设备以及本地或云端服务器，这些设备之间通过有线或无线，局域或广域等互 联网进行通信连接。
所述教学录播系统可以与互联网教学平台通信连接，可以通过图像采集设备、音频采集设备和/或操作动作采集设备等录制设备分别采集图像数据、音频数据、动作数据(比如，教学终端操作动作、电子白板操作动作、画图板的做图动作等操作动作数据)等课堂教学数据，还可以对教学过程产生的其他实时数据进行统计分析，以及对所获得的各种数据进行存储、上传等处理。
优选的，这些录播数据可以分别以数据流的方式保存至本地存储设备、互联网教学平台的服务器存储设备或者与服务器连接的云端存储设备，比如磁盘存储阵列等。
所谓标准教师是指这样的教师，其课堂教学的教学录播课程作为标准教学录播课程，被跟随教师学习参考或者推荐给跟随教师学习参考，跟随教师将以此作为模仿式跟随教学的参考标准执行本地课堂教学。
所述标准教学录播课程可以通过互联网共享于平台之上，通过互联网登录教学平台的用户可以获得，进行下载、浏览、学习等操作。
所述分段处理是指可以将所述课堂教学过程分为课前测试阶段、课中讲授阶段和随堂练习阶段，这三个阶段一般具有时间顺序上的前后逻辑关系。这三个阶段以时间标识比如时间戳进行分段标识。
在这三个阶段的基础上，还可以对课堂教学过程继续进行类似的细分分段处理，而且这三个阶段的每个阶段，特别是课中讲授阶段还可以进一步划分为多个子段，比如根据讲授的不同知识点，将课中讲授阶段分为若干讲授子段。
在分阶段和分子段的过程中，逐渐建立以知识点为关联点或纽带的关系数据库，使得课前测试阶段的习题、课中讲授阶段的知识点讲授、随堂练习的习题彼此之间建立以知识点为关键点或纽带的关联关系，并且将这种关联关系保存至关系数据。
这些阶段和子段的划分，优选以时间标识进行分段标识(区分标识)，以知识点为联系纽带，一般并不需要把数据切割分段。
跟随教学录制单元，用于通过互联网教学平台的教学录播系统采集跟随教师的课堂教学数据，对课堂教学数据的课前测试结果数据进行实时分析， 将实时分析的结果与标准教学录播数据的对应数据进行比对，为跟随教师的课中讲授阶段提供建议讲授时间，并且记录建议讲授时间与实际讲授时间，所述建议讲授时间、实际讲授时间与课堂教学数据一起保存构成跟随教学录播数据，由此形成跟随教学录播课程；
对于建议讲授时间，优选的是，可以以时间提示的方式显示于教师终端的屏幕上，便于教师根据时间提示合理掌握教学进度。
所谓跟随教师是模仿或者跟随所述标准教师的教学录播课程执行本地课堂教学的教师。所述跟随教学录播课程也可以通过互联网共享于平台之上，跟随教师也可以选择不上传到互联网教学平台，或者上传到互联网教学平台，但是只供一定范围内的学生比如本班的或者本校的学生下载、浏览、学习等，也就是说，可以根据跟随教师的意愿采用分级共享跟随教学录播课程的方式。
所述教学录播系统可以是与标准课程的教学录播系统相同的，也可以是不同的，只要保证能够获得相同标准的或者分辨率的课堂录播数据即可。
优先的是，标准教师使用的录播系统与跟随教师使用的录播系统采用相同型号的设备，并且特别优选的是，这些设备在教室中的安装方式保持一致，从而保持录播系统采集的数据在技术参数上保持一致。
跟随教师的教学录播数据，同样可以分别以数据流的方式保存至本地存储设备、服务器的存储设备或者与服务器连接的云端存储设备，比如磁盘存储阵列等。可以与标准教师保持一致，在此不再赘述。
跟随教学分析单元，用于对跟随教学录播数据进行事后分析，并与标准教学录播数据进行分段比对，包括各阶段的建议讲授时间和实际讲授时间比对、各阶段的语音文本信息比对，并将跟随教学录播课程与标准教学录播课程同步回放显示给跟随教师。
所述比对的处理，可以由本地服务器执行，也可以将数据提交到云端由专门的云计算中心执行分析和比对，这些云计算中心可以是提供商业服务的公司。
可选的，所有的比对和分析等运算均由本地服务器或者计算机设备执行。
如图3所示，所述标准课程形成单元，具体包括：关系数据构建单元、标准教学录制单元、课前测试分析单元、随堂练习分析单元、语音识别转换单元。
关系数据构建单元，用于将每堂课程的课堂教学大纲进行知识点划分，将知识点作为数据条目，并根据知识点生成关键词，建立关键词与知识点的对应关系，以数据条目为基础，根据与课前测试的习题和随堂练习的习题的属性信息的比对，建立各种数据之间的以知识点为关联点的关联关系，由此构建关系数据库；
所述知识点划分包括三步：
第一步，将课堂教学大纲划分为基础知识和新授知识，作为一级数据条目，
第二步：将所述基础知识进一步划分为若干基础知识点，将所述新授知识进一步划分为若干新授知识点，作为二级数据条目；
第三步：根据基础知识点和新授知识点的关联关系，进一步完善关系数据库的数据结构。
优选的，所述关系数据库作为标准教学录播数据的组成部分进行独立保存。
优选的，在标准教师执行课堂教学过程中，这里主要是指进行课程讲授的过程中，包括对于基础知识的讲授(通常是回顾式讲授)和新授知识的讲授，建立知识或者知识点与录播数据时段的对应关系，所述时段以时间标识优选时间戳信息进行划分，并且保存至所述关系数据库。
比如，进行基础知识的课中讲授中，建立基础知识与标准录播数据时段的对应关系。
优选的，进一步建立基础知识点与标准录播数据子时段的对应关系，所述子时段是对所述时段的进一步细分。所述时段或者子时段的划分可以由标准教师在课中讲授中进行手动点击确认，也可以根据事后的关键词检索或者人工区分进行划分。
也就是，在标准教学录制过程完成后，可以形成以知识或者知识点为关联标识的“课堂教学目标数据条目-课前测试的习题-讲授分段数据-随堂练习的习题”的关系数据库，使得可以对于标准教学录播课程进行片段划分，并建立前后关联的对应关系。
标准教学录制单元，通过教学录播系统的教学录播设备采集课堂教学数据，比如，使用图像采集设备、音频采集设备和/或动作采集设备分别采集图 像数据、音频数据、动作数据，这些数据可以分别以数据流的方式进行保存，并通过时间戳进行时间标识；
课前测试分析单元，在课堂教学开始之后，课中讲授阶段之前，学生通过学生终端进行基础知识测试，对测试结果进行实时分析，形成课前测试结果分析数据，用以了解当前学生对于相关基础知识，优选为基础知识点的掌握情况，从而在后面的课中讲授中，更加有针对性，方便后续开展标准教学。
所述测试分析数据，不但可以实时提供比如展示给标准教师，也可以单独保存，优选的，作为标准教学录播数据的组成部分，一起进行保存。
随堂练习分析单元，在课堂教学结束之前，课中讲授阶段之后，学生通过学生终端进行随堂练习测试，对测试结果进行实时分析，形成随堂练习结果分析数据，用以了解学生对于新授知识的掌握情况，优选为新授知识点的掌握情况，为教师自我分析教学过程提供技术支持，方便教师了解教学效果。
所述随堂练习分析数据，不但可以实时提供比如展示给标准教师，也可以单独保存，优选的，作为标准教学录播数据的组成部分，一起进行保存。
语音识别转换单元，用于将课堂教学数据的音频数据通过语音识别技术转换成标准语音文本信息，并且统计各个知识点对应的标准语音文本信息的关键词词频数。优选的，所述标准语音文本信息包括原音频数据的时间标识信息比如优选时间戳信息，从而可以基于时间标识信息建立语音文本与音频数据的对应关系。
优选的，将带有时间标识信息的标准语音文本信息作为标准教学录播数据的组成部分，一起进行保存，并且在点播回放时，以字幕的形式显示于终端设备上。
优选的，关系数据构建单元中的所述数据条目包括知识或者知识点与录播数据时段(基于时间标识优选为时间戳信息划分)的对应关系，对标准语音文本信息进行划分，并建立与知识或知识点的对应关系，并作为标准教学录播数据的组成部分，一起进行保存。
如图4所示，所述跟随教学录制单元，具体包括：关系数据调用单元、跟随教学录制单元、课前测试比对单元、随堂练习分析单元。
关系数据调用单元，用于在跟随课堂教学开始时调取所述关系数据库，为下面的单元提供数据支持，可以跟随课堂教学开始之前调取，也可以在开 始之时调取，只要不耽误跟随教学过程的执行即可。
跟随教学录制单元，通过教学录播系统的教学录播设备采集课堂教学数据，比如，使用图像采集设备、音频采集设备和/或动作采集设备分别采集图像数据、音频数据、动作数据，这些数据可以分别以数据流的方式进行保存，并通过时间戳进行时间标识。
这些录制设备优选与之前的对应设备型号保持相同，并且优选在教室的安装方式，比如图像采集设备的方位、音频采集设备与授课者的距离、电子白板的设置等也相同或者相近。
课前测试比对单元，在跟随课堂教学开始之后，跟随课中讲授阶段之前，学生通过学生终端进行基础知识测试，对测试结果进行实时分析，形成课前测试结果分析数据，将所述课前测试分析结果与标准课程的课前测试分析结果进行比对，向跟随教师提供学生对于基础知识点的掌握情况和与标准课堂学生的差异，并且根据差异情况，根据所述关系数据库的知识点关联信息，结合标准课堂上对于知识点的讲授时间，给出关于知识点的建议讲授时间。
优选的，根据基础知识点与新授内容的关联权重，根据标准讲授时间给出当前的建议跟随讲授时间。
优选的，生成时间提示信息，在教师终端上进行展示，便于跟随教师在课中讲授中掌握教学进度。
随堂练习分析单元，在课堂教学结束之前，课中讲授阶段之后，学生通过学生终端进行随堂练习测试，对测试结果进行实时分析，形成随堂练习结果分析数据，以了解学生对于新授内容的掌握情况，以方便标准教师了解教学效果。所述随堂练习的习题与标准教学过程中一致。
所述随堂练习分析数据可以进行单独保存，或者作为附属数据与教学录播数据一起进行保存。
如图5所示，所述跟随教学分析单元，具体包括：语音识别转换单元、文本相似分析单元、分屏比对展示单元、改进建议生成单元、跟随度计算单元。
语音识别转换单元，用于将所述跟随教学录播数据的音频数据通过语音识别技术转换成语音文本信息，并且统计各个知识点对应的语音文本信息的关键词词频数，所述关键词与标准课程中的关键词一致；
优选的，将带有时间标识信息的语音文本信息作为跟随教学录播数据的组成部分，一起进行保存，并且在点播回放时，以字幕的形式显示于终端设备上。
优选的，根据知识或者知识点与录播数据时段(基于时间标识优选为时间戳信息划分)的对应关系，对语音文本信息进行划分，并建立与知识或知识点的对应关系，并作为跟随教学录播数据的组成部分，一起进行保存。知识点与语音的对应关系是根据时间戳界定的，或者区分的，具体对应时，可以在录制过程中，由教师通过点击确认操作进行识别或标记，也可以通过关键词检索自动确认，再经人工进行确认等方式。
文本相似分析单元，用于根据标准语音文本信息中各个知识点对应的关键词词频数与跟随语音文本信息中各个知识点对应的关键词词频数进行比对分析，以确定跟随语音文本信息与标准语音文本信息的相似度。
具体的文本相似度算法，现有技术有很多种，比如学术论文防抄袭的比对技术等。采用不同的算法，得到的相似系数会略有差异，但是相似系数不能太低或太高，本发明采用常规的论文相似度比对算法，优选的相似系数在0.20至0.68之间。
相似系数的设定，是在大量统计数据的基础上给出的，选择相似系数在这个范围内，通常既可以保持课中讲授不会遗漏知识点，又能保持跟随教师表述的独立性和自由性，相似系数太高会给人鹦鹉学舌式的近似完全模仿式教学，不利于跟随教师的成长和激发自我意识，相似系数太低可能面临对知识点讲授不足的问题。
优选的是，根据关系数据库确定的语音文本信息与知识或知识点的对应关系，进行基于知识点的语音文本分段比对，以更加准确的确定两个语音文本的相似系数。
分屏比对展示单元，用于以双窗口或者多窗口同屏展示、或者多屏同步显示的方式向跟随教师同时展示录制的跟随教学课程与标准教学课程，从而实现直观的比对。分屏比对展示单元还可以进一步用于，进行课前测试分析结果对比、建议讲授时间和实际讲授时间比对、跟随语音文本信息与标准语音文本信息的相似度对比和/或随堂练习测试结果的比对。
具体包括每个阶段和子段的相关分析数据比对，比如课前测试阶段的统 计分析情况比对，并且基于此给出的知识点建议讲授时间和实际讲授时间比对，各个阶段和子段的语音文本的相似系数，随堂练习测试结果的比对等。
改进建议生成单元，用于在分屏比对展示过程中，根据所述关系数据库确定的各种数据之间基于知识点的关联关系，结合课前测试、课中讲授和随堂练习的分析结果，给出跟随教学过程中各个阶段的评价信息及改进建议。
优选的，评价信息及改进建议是以选项的方式，由跟随教师根据自我的评价结合所述分析结果进行选择的。
优选的，跟随教师在观看比对之后，可以输入评价信息及改进建议。
优选的，将经由跟随教师确认的或者输入的评价信息及改进建议，通过与所述每个阶段和子段的关联关系，作为跟随录播数据的一部分，保存至跟随教学录播数据中。
跟随度计算单元，用于计算每次跟随教学的跟随系数Fn，将一定周期内的多次跟随系数Fn做成跟随系数变化曲线，展示给跟随教师。
跟随系数的计算主要是以标准教师的相关数据作为原始比对基础，通过以下公式计算获得的，其中采用的相关数据可以包括：跟随教师对于知识点i的建议讲授时间STi与实际讲授时间PTi、对于跟随教师讲授的评价数据E1与对于标准教师讲授的评价数据E2、跟随课堂每次随堂练习平均得分S1与标准课堂每次随堂练习平均得分S2。跟随系数可以一定程度上反映当前跟随教师的成长度、学生的接受度和教学效果的改进度。
跟随系数计算公式：
Figure PCTCN2017111817-appb-000002
其中，
STi表示知识点i的建议讲授时间，PTi表示知识点i的实际讲授时间，i＝1,2…n，n是正整数，用于表示知识点的数量，δ表示第i个知识点的权重系数，其中δ1+...+δi＝1；
E1表示对于跟随教师讲授的评价数据，E2表示对于标准教师讲授的评价数据，评价通常由学生通过互联网教学平台给出，两个评价数据采用同样的标准；
S1表示跟随课堂每次随堂练习平均得分，S2表示标准课堂每次随堂练习平均得分；
α、β、γ作为平衡系数，α+β+γ＝1，可以根据实际需要进行设定,经过大量的数据统计分析，优选的是，α取值0.30-0.50，β取值0.10-0.30，γ取值0.20-0.40。对于跟随式教学，上述取值范围可以体现跟随教学这个核心，又能兼顾学生反映和实际效果，能够比较好的平衡这几个因素的关系。
以上介绍了本发明的较佳实施方式，旨在使得本发明的精神更加清楚和便于理解，并不是为了限制本发明，凡在本发明的精神和原则之内，所做的修改、替换、改进，均应包含在本发明所附的权利要求概括的保护范围之内。
工业实用性
本发明以互联网教学平台作为依托，以教学录播系统为主要实现手段，通过对课堂教学过程的标准化和模块化分段处理，形成具有分段特征的标准教学录播课程，在此基础上，跟随教师实施本地跟随教学，通过对于学生基础知识掌握情况的测试，对比标准课堂的测试结果，结合标准课程上对于知识点的讲授时间，为跟随教师提供建议讲授时间的指导，并且对实际的执行情况进行记录和比对，为了进一步体现跟随教学的特质，在完成跟随课堂完成，形成跟随教学录播课程后，以同屏多窗口或多屏同时展示的方式，向跟随教师对比展示跟随教学和标准教学的异同，并且提供数据支持，包括语音文本相似度、生成改进的建议、计算跟随度等，从而可以为跟随教学提供有效的数据支持，有助于跟随教学效率的提升，有助于改进跟随教学的效果。

Claims (11)

  1. 一种基于互联网教学平台的跟随教学系统，互联网教学平台具有课堂教学录制功能，所述跟随教学系统包括以下单元：
    标准课程形成单元，用于通过互联网教学平台的教学录播系统采集标准教师的课堂教学数据，对课堂教学数据进行分段处理，比如分为课前测试阶段、课中讲授阶段和随堂练习阶段，各阶段以时间标识信息进行标识区分，所述时间标识信息与课堂教学数据一起保存构成标准教学录播数据，由此形成标准教学录播课程；
    跟随教学录制单元，用于通过互联网教学平台的教学录播系统采集跟随教师的课堂教学数据，对课堂教学数据的课前测试结果数据进行实时分析，将实时分析的结果与标准教学录播数据的对应数据进行比对，根据比对结果为跟随教师的课中讲授阶段设置建议讲授时间，记录建议讲授时间与实际讲授时间，所述建议讲授时间、实际讲授时间与课堂教学数据一起保存构成跟随教学录播数据，由此形成跟随教学录播课程；
    跟随教学分析单元，用于对跟随教学录播数据进行事后分析，与标准教学录播数据进行分段比对，包括各阶段的建议讲授时间和实际讲授时间比对、各阶段的语音文本信息比对，并将跟随教学录播课程与标准教学录播课程同步回放显示给跟随教师。
  2. 根据权利要求1的跟随教学系统，其特征在于，
    所述标准课程形成单元具体包括：
    关系数据构建单元，用于将每堂课程的课堂教学大纲进行知识点划分，将知识点作为数据条目，并根据知识点生成关键词，建立关键词与知识点的对应关系，以数据条目为基础，根据与课前测试的习题和随堂练习的习题的属性信息的比对，建立各种数据之间的以知识点为关联点的关联关系，由此构建关系数据库；
    标准教学录制单元，通过教学录播系统的教学录播设备采集课堂教学数据，比如，使用图像采集设备、音频采集设备和/或动作采集设备分别采集图像数据、音频数据、动作数据，所述数据可以分别以数据流的方式进行保存，通过时间戳进行时间标识；
    课前测试分析单元，在课堂教学开始之后，课中讲授阶段之前，学生通 过学生终端进行基础知识测试，对测试结果进行实时分析，形成课前测试结果分析数据；
    随堂练习分析单元，在课堂教学结束之前，课中讲授阶段之后，学生通过学生终端进行随堂练习测试，对测试结果进行实时分析，形成随堂练习结果分析数据；
    语音识别转换单元，用于将课堂教学数据的音频数据通过语音识别技术转换成语音文本信息，并且统计各个知识点对应的标准语音文本信息的关键词词频数。
  3. 根据权利要求2的跟随教学系统，其特征在于，
    所述标准语音文本信息包括音频数据的时间戳信息，从而可以基于时间戳信息建立语音文本与音频数据的对应关系，使得在标准教学录播课程被点播回访时，标准语音文本信息可以以字幕的方式进行显示。
  4. 根据权利要求2的跟随教学系统，其特征在于，
    所述知识点划分包括三步：
    第一步，将课堂教学大纲划分为基础知识和新授知识，作为一级数据条目，
    第二步：将所述基础知识进一步划分为若干基础知识点，将所述新授知识进一步划分为若干新授知识点，作为二级数据条目；
    第三步：根据基础知识点和新授知识点的关联关系，进一步完善关系数据库的数据结构。
  5. 根据权利要求2的跟随教学系统，其特征在于，
    所述跟随教学录制单元具体包括：
    关系数据调用单元，用于在跟随课堂教学开始时调取所述关系数据库，为下面执行单元功能提供数据支持；
    跟随教学数据采集单元，通过教学录播系统的教学录播设备采集课堂教学数据，比如，使用图像采集设备、音频采集设备和/或动作采集设备分别采集图像数据、音频数据、动作数据，所述数据可以分别以数据流的方式进行保存，通过时间戳进行时间标识；
    课前测试比对单元，在跟随课堂教学开始之后，跟随课中讲授阶段之前，学生通过学生终端进行基础知识测试，对测试结果进行实时分析，形成课前 测试结果分析数据，将所述课前测试分析结果与标准课程的课前测试分析结果进行比对，向跟随教师提供学生对于基础知识点的掌握情况和与标准课堂学生的差异，根据差异情况及所述关系数据库的知识点关联信息，结合标准课堂上对于知识点的讲授时间，给出关于知识点的建议讲授时间；
    随堂练习分析单元，在课堂教学结束之前，课中讲授阶段之后，学生通过学生终端进行随堂练习测试，对测试结果进行实时分析，形成随堂练习结果分析数据。
  6. 根据权利要求5的跟随教学系统，其特征在于，
    所述课前测试的习题和随堂练习的习题与标准教学中对应习题一致。
  7. 根据权利要求5的跟随教学系统，其特征在于，
    在给出建议讲授时间之后，生成时间提示信息，在教师终端上进行展示，便于跟随教师在课中讲授中掌握教学进度。
  8. 根据权利要求2的跟随教学系统，其特征在于，
    所述跟随教学分析单元具体包括：
    语音识别转换单元，用于将所述跟随教学录播数据的音频数据通过语音识别技术转换成语音文本信息，并且统计各个知识点对应的跟随语音文本信息的关键词词频数，所述关键词与标准课程中的关键词一致；
    文本相似分析单元，用于根据标准语音文本信息中各个知识点对应的关键词词频数与跟随语音文本信息中各个知识点对应的关键词词频数进行比对分析，以确定跟随语音文本信息与标准语音文本信息的相似度；
    分屏比对展示单元，用于以双窗口或者多窗口同屏展示、或者多屏同步显示的方式向跟随教师同时展示录制的跟随教学课程与标准教学课程，从而实现直观的比对。
  9. 根据权利要求8的跟随教学系统，其特征在于，
    所述分屏比对展示单元还可以执行以下功能，进行课前测试分析结果对比、建议讲授时间和实际讲授时间比对、跟随语音文本信息与标准语音文本信息的相似度对比和/或随堂练习测试结果的比对。
  10. 根据权利要求9的跟随教学系统，其特征在于，
    所述跟随教学分析单元进一步包括：
    改进建议生成单元，用于在分屏比对展示过程中，根据所述关系数据库 确定的各种数据之间基于知识点的关联关系，结合上述比对结果，给出跟随教学过程中各个阶段的评价信息及改进建议。
  11. 根据权利要求10的跟随教学系统，其特征在于，
    所述跟随教学分析单元进一步包括：
    跟随度计算单元，用于计算每次跟随教学的跟随系数Fn，将一定周期内的多次跟随系数Fn做成跟随系数变化曲线，展示给跟随教师，跟随系数计算公式：
    Figure PCTCN2017111817-appb-100001
    其中，
    STi表示知识点i的建议讲授时间，PTi表示知识点i的实际讲授时间，i＝1,2…n，n是正整数，用于表示知识点的数量，δ表示第i个知识点的权重系数，其中δ1+...+δi＝1；
    E1表示对于跟随教师讲授的评价数据，E2表示对于标准教师讲授的评价数据，评价通常由学生通过互联网教学平台给出，两个评价数据采用同样的标准；
    S1表示跟随课堂每次随堂练习平均得分，S2表示标准课堂每次随堂练习平均得分；
    α、β、γ作为平衡系数，α+β+γ＝1，α取值0.30-0.50，β取值0.10-0.30，γ取值0.20-0.40。
PCT/CN2017/111817 2017-10-20 2017-11-20 一种基于互联网教学平台的跟随教学系统 WO2019075826A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US16/467,345 US11151892B2 (en) 2017-10-20 2017-11-20 Internet teaching platform-based following teaching system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710981851.2 2017-10-20
CN201710981851.2A CN109698920B (zh) 2017-10-20 2017-10-20 一种基于互联网教学平台的跟随教学系统

Publications (1)

Publication Number Publication Date
WO2019075826A1 true WO2019075826A1 (zh) 2019-04-25

Family

ID=66173457

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/111817 WO2019075826A1 (zh) 2017-10-20 2017-11-20 一种基于互联网教学平台的跟随教学系统

Country Status (3)

Country Link
US (1) US11151892B2 (zh)
CN (1) CN109698920B (zh)
WO (1) WO2019075826A1 (zh)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110189563A (zh) * 2019-07-03 2019-08-30 武汉体育学院 一种数字化体育教师同课异构教研平台
CN110929020A (zh) * 2019-12-18 2020-03-27 四川文轩教育科技有限公司 基于测试成绩的知识点掌握度分析方法
CN111104455A (zh) * 2019-12-18 2020-05-05 四川文轩教育科技有限公司 多源多维的学校教学横向信息差异比对分析方法
CN111597357A (zh) * 2020-05-27 2020-08-28 上海乂学教育科技有限公司 用于打地基学习的测评系统与方法
CN112163162A (zh) * 2020-10-14 2021-01-01 珠海格力电器股份有限公司 基于人像识别的选修课程推荐方法、存储介质及电子设备
CN112351233A (zh) * 2020-10-30 2021-02-09 广州朗国电子科技有限公司 教室教学环境录制方法、装置、存储介质及教育一体机
CN113538189A (zh) * 2021-07-27 2021-10-22 电子科技大学 一种教学辅导管理系统
CN113744599A (zh) * 2021-09-29 2021-12-03 宁波大学 一种基于ai视觉感知技术的运动教学系统

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112241462B (zh) * 2019-07-17 2024-04-23 智园香港有限公司 知识点标记生成系统及其方法
CN111027486B (zh) * 2019-12-11 2023-11-14 李思娴 一种中小学课堂教学效果大数据辅助分析评价系统及其方法
CN110991943B (zh) * 2019-12-26 2023-08-01 河南城建学院 一种基于云计算的教学质量评价系统
CN112153421A (zh) * 2020-09-23 2020-12-29 杭州海康威视系统技术有限公司 数据处理方法、装置、系统、电子设备及存储介质
CN112102130B (zh) * 2020-09-24 2021-11-26 上海松鼠课堂人工智能科技有限公司 智能教师辅助备课授课系统和方法
US11756444B2 (en) * 2020-10-27 2023-09-12 Andrew Li Student message monitoring using natural language processing
CN112312065B (zh) * 2020-11-05 2023-05-12 深圳市中博科创信息技术有限公司 一种拓扑式教学与科研信息交互平台及交互方法
CN112863277B (zh) * 2021-03-01 2022-08-26 Oook(北京)教育科技有限责任公司 一种直播教学的互动方法、装置、介质和电子设备
CN115118903A (zh) * 2021-03-18 2022-09-27 广州开得联智能科技有限公司 录播设备
CN113259763B (zh) * 2021-04-30 2023-04-07 作业帮教育科技（北京）有限公司 教学视频处理方法、装置和电子设备
CN113507563A (zh) * 2021-07-07 2021-10-15 广州莱万科技股份有限公司 一种基于物联网教学平台的跟随教学系统及装置
CN113705204A (zh) * 2021-08-03 2021-11-26 西安交通大学 结合qq学习群的混合式教学图表数据分析方法、系统、设备及存储介质
CN113743250B (zh) * 2021-08-16 2024-02-13 华中师范大学 一种课堂教学行为事件描述模型的构建方法及系统
CN113724547B (zh) * 2021-09-24 2023-02-28 深圳市中科网威科技有限公司 一种分布式教学系统
CN114219224B (zh) * 2021-11-24 2022-09-20 慧之安信息技术股份有限公司 一种用于智慧教室的教学质量检测方法和系统
CN114005079B (zh) * 2021-12-31 2022-04-19 北京金茂教育科技有限公司 多媒体流处理方法及装置
CN114783217A (zh) * 2022-02-16 2022-07-22 杭州超乎智能科技有限公司 一种基于多模态交互的教学设备及系统
CN116453543A (zh) * 2023-03-31 2023-07-18 华南师范大学 一种基于语音识别的教学语言规范分析方法及系统
CN116150110B (zh) * 2023-04-20 2023-06-30 广东省出版集团数字出版有限公司 基于ai深度学习的自动化数字教材建模系统
CN116504271B (zh) * 2023-05-15 2024-03-19 杭州企智互联科技有限公司 一种用于智慧校园的作业发布管理系统
CN117196909B (zh) * 2023-11-03 2024-04-05 湖南强智科技发展有限公司 一种基于自定义分类的高校排课方法、系统、设备及介质
CN117435746B (zh) * 2023-12-18 2024-02-27 广东信聚丰科技股份有限公司 基于自然语言处理的知识点标注方法及系统
CN117494714B (zh) * 2024-01-02 2024-03-22 朗朗教育科技股份有限公司 一种用于幼教的智慧教学管理系统及方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004227237A (ja) * 2003-01-22 2004-08-12 Ns Solutions Corp 教育機関支援システム、教育機関支援方法、その記録媒体およびプログラム
CN203366564U (zh) * 2013-03-22 2013-12-25 传课计算机系统(北京)有限公司 一种交互式网络教育系统
CN106485964A (zh) * 2016-10-19 2017-03-08 深圳市鹰硕技术有限公司 一种课堂教学的录制和点播的方法及系统
CN106898169A (zh) * 2017-02-17 2017-06-27 酒泉职业技术学院 一种中国计算机应用与国际互联网教学培训系统

Family Cites Families (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2002231045A1 (en) * 2000-12-18 2002-07-01 Digispeech Marketing Ltd. Method of providing language instruction and a language instruction system
WO2004029753A2 (en) * 2002-09-25 2004-04-08 La Mina Equities Corp. Electronic training systems and methods
US20120237914A1 (en) * 2007-12-25 2012-09-20 Donald Spector Teaching method using virtual in-room teachers and teaching assistants
US20110123972A1 (en) * 2008-08-04 2011-05-26 Lior Friedman System for automatic production of lectures and presentations for live or on-demand publishing and sharing
CN101833882A (zh) 2009-03-13 2010-09-15 北京同步科技有限公司 一种用于教学的课程录制系统
US20120231441A1 (en) * 2009-09-03 2012-09-13 Coaxis Services Inc. System and method for virtual content collaboration
CN201622705U (zh) * 2009-11-13 2010-11-03 尚小朋 集教学、观摩、评研、录播于一体的中学教学教室
WO2011120139A1 (en) * 2010-04-01 2011-10-06 Smart Technologies Ulc Participant response system and method
US8764454B1 (en) * 2010-06-14 2014-07-01 Scott Christopher Turner Individualized academic focus credential structure, system and methods thereof
JP2013156788A (ja) * 2012-01-30 2013-08-15 Hitachi Consumer Electronics Co Ltd 教育支援システム及び情報端末
US20130323706A1 (en) * 2012-06-05 2013-12-05 Saad Ul Haq Electronic performance management system for educational quality enhancement using time interactive presentation slides
CN103295171B (zh) 2013-06-05 2018-11-09 广州市奥威亚电子科技有限公司 基于智能录播系统的s-t教学自动分析方法
CN103646574B (zh) * 2013-12-18 2016-01-20 闫健 一种基于全景学习系统平台的师生互动教学方法
US20150206444A1 (en) * 2014-01-23 2015-07-23 Zyante, Inc. System and method for authoring animated content for web viewable textbook data object
US20160063881A1 (en) * 2014-08-26 2016-03-03 Zoomi, Inc. Systems and methods to assist an instructor of a course
US20160225278A1 (en) * 2015-01-31 2016-08-04 Usa Life Nutrition Llc Method and apparatus for incentivization of learning
CN105306861B (zh) 2015-10-15 2017-03-01 深圳市鹰硕技术有限公司 一种网络教学录播方法及系统
CN106355350A (zh) 2016-09-23 2017-01-25 重庆多创电子技术有限公司 智慧校园系统
US10621685B2 (en) * 2017-04-03 2020-04-14 International Business Machines Corporation Cognitive education advisor
CN107240049B (zh) * 2017-05-10 2020-04-03 中国科学技术大学先进技术研究院 一种沉浸式环境中远程动作教学质量的自动评价方法和系统
US20190102722A1 (en) * 2017-10-03 2019-04-04 International Business Machines Corporation System and method enabling dynamic teacher support capabilities

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004227237A (ja) * 2003-01-22 2004-08-12 Ns Solutions Corp 教育機関支援システム、教育機関支援方法、その記録媒体およびプログラム
CN203366564U (zh) * 2013-03-22 2013-12-25 传课计算机系统(北京)有限公司 一种交互式网络教育系统
CN106485964A (zh) * 2016-10-19 2017-03-08 深圳市鹰硕技术有限公司 一种课堂教学的录制和点播的方法及系统
CN106898169A (zh) * 2017-02-17 2017-06-27 酒泉职业技术学院 一种中国计算机应用与国际互联网教学培训系统

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110189563A (zh) * 2019-07-03 2019-08-30 武汉体育学院 一种数字化体育教师同课异构教研平台
CN110929020A (zh) * 2019-12-18 2020-03-27 四川文轩教育科技有限公司 基于测试成绩的知识点掌握度分析方法
CN111104455A (zh) * 2019-12-18 2020-05-05 四川文轩教育科技有限公司 多源多维的学校教学横向信息差异比对分析方法
CN111597357A (zh) * 2020-05-27 2020-08-28 上海乂学教育科技有限公司 用于打地基学习的测评系统与方法
CN111597357B (zh) * 2020-05-27 2024-04-09 上海松鼠课堂人工智能科技有限公司 用于打地基学习的测评系统与方法
CN112163162A (zh) * 2020-10-14 2021-01-01 珠海格力电器股份有限公司 基于人像识别的选修课程推荐方法、存储介质及电子设备
CN112163162B (zh) * 2020-10-14 2023-12-08 珠海格力电器股份有限公司 基于人像识别的选修课程推荐方法、存储介质及电子设备
CN112351233A (zh) * 2020-10-30 2021-02-09 广州朗国电子科技有限公司 教室教学环境录制方法、装置、存储介质及教育一体机
CN113538189A (zh) * 2021-07-27 2021-10-22 电子科技大学 一种教学辅导管理系统
CN113744599A (zh) * 2021-09-29 2021-12-03 宁波大学 一种基于ai视觉感知技术的运动教学系统

Also Published As

Publication number Publication date
US11151892B2 (en) 2021-10-19
CN109698920B (zh) 2020-07-24
US20200242953A1 (en) 2020-07-30
CN109698920A (zh) 2019-04-30

Similar Documents

Publication Publication Date Title
WO2019075826A1 (zh) 一种基于互联网教学平台的跟随教学系统
WO2019095447A1 (zh) 一种具有远程评价功能的跟随教学方法
WO2019095446A1 (zh) 一种具有语音评价功能的跟随教学系统
CN109801525B (zh) 一种用于网络教学的师生多维匹配方法和系统
CN104408983B (zh) 基于录播设备的智能教学信息处理系统
CN106485964B (zh) 一种课堂教学的录制和点播的方法及系统
WO2019075825A1 (zh) 一种基于互联网教学平台的跟随教学方法和系统
CN209980508U (zh) 一种智慧黑板，及智慧教室的教学系统
WO2018227761A1 (zh) 一种教学录播数据修正装置
US20190340944A1 (en) Multimedia Interactive Teaching System and Method
WO2018223529A1 (zh) 一种基于互联网的录播课程跟随学习系统和方法
CN113691836B (zh) 视频模板生成方法、视频生成方法、装置和电子设备
WO2015085644A1 (zh) 一种全景模式教学系统的专用格式文件的生成方法
WO2019019403A1 (zh) 一种用于k12阶段的互动情景教学系统
CN110753256B (zh) 录像回放的方法、装置、存储介质及计算机设备
WO2019019406A1 (zh) 一种用于更新教学录播数据的装置
KR20210067823A (ko) 스마트 디바이스 기반 단위영역별 콘텐츠 제작이 가능한 디지털 학습 서비스 제공 방법
CN109040797B (zh) 一种互联网教学的录播系统和方法
Shen A New Video Editing Technology in Practical Teaching of Animation.
CN113487921B (zh) 一种用于校内课后服务的作业辅导系统及方法
JP7380023B2 (ja) 情報処理装置、制御方法及びプログラム
Zhong Application of Multi-lens Video Editing Technology in Multi-media Interactive Teaching of" Aerobics".
Cui DISTANCE EDUCATION TECHNOLOGY IN CHINESE UNDER THE INFLUENCE OF THE COVID-19
Fu Micro-video Production and Its Application in English Teaching
CN117975967A (zh) 教学资源的生成方法、装置、设备和存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17929030

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17929030

Country of ref document: EP

Kind code of ref document: A1