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WO2019223543A1 - Procédé et serveur d'analyse d'enseignement, et support d'informations lisible par ordinateur - Google Patents

Procédé et serveur d'analyse d'enseignement, et support d'informations lisible par ordinateur Download PDF

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Publication number
WO2019223543A1
WO2019223543A1 PCT/CN2019/086191 CN2019086191W WO2019223543A1 WO 2019223543 A1 WO2019223543 A1 WO 2019223543A1 CN 2019086191 W CN2019086191 W CN 2019086191W WO 2019223543 A1 WO2019223543 A1 WO 2019223543A1
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WIPO (PCT)
Prior art keywords
attention
class
student
synchronization rate
average
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Ceased
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PCT/CN2019/086191
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English (en)
Chinese (zh)
Inventor
韩璧丞
杨钊祎
刘晨皓
萧凯中
郑辉
单思聪
阿迪斯
于翔
程交
程翼
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Shenzhen Mental Flow Technology Co Ltd
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Shenzhen Mental Flow Technology Co Ltd
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Publication of WO2019223543A1 publication Critical patent/WO2019223543A1/fr
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance

Definitions

  • the present application relates to the field of data analysis technology, and in particular, to a teaching analysis method, a server, and a computer-readable storage medium.
  • the teacher's evaluation of the lecture effect can only be assessed by means of staged assessment exams or questioning during the class. It is not possible to have a more quantitative and intuitive understanding of the effect of the lectures of the entire class, such as how many students are listening carefully in the classroom. How many students have not listened very carefully, and how many students have been constantly waiting, which is not conducive to the teacher's timely and accurate grasp of the effect of the class's students.
  • the main purpose of this application is to propose a teaching analysis method, a server, and a computer-readable storage medium, which are intended to quantify and intuitively show the effect of the lectures of the entire class.
  • the teaching analysis method includes the following steps:
  • the attention index indicates the average attention of the student during the entire class
  • the synchronization rate indicates the concentration of the student's attention during the entire class and the average attention of the entire class.
  • each student's attention index and synchronization rate correspondingly evaluate each student's attention level and synchronization rate level
  • the step of obtaining the attention index and synchronization rate of each student in the entire class includes:
  • the steps of obtaining and analyzing the EEG data of each student in the class during the class, obtaining the attention index and the attention change curve of each student, and the average attention change curve of the class include:
  • the teaching analysis method further includes:
  • the average class attention curve and the teaching suggestions are displayed in the teaching analysis report.
  • the step of correspondingly evaluating the attention level and the synchronization rate level of each student according to the attention index and the synchronization rate of each student includes:
  • the step of correspondingly evaluating the attention level and the synchronization rate level of each student according to the attention index and the synchronization rate of each student includes:
  • the step of counting the number of students at the same attention level and the same synchronization rate level to obtain the distribution of the attention level and the synchronization rate of the entire class includes:
  • the teaching analysis method further includes:
  • Obtaining course attribute information which includes the instructor, class time, class and class name;
  • the present application also provides a teaching analysis server
  • the teaching analysis server includes: a memory, a processor, and a teaching analysis program stored on the memory and executable on the processor. The steps of the teaching analysis method described above when the teaching analysis program is executed by the processor are described.
  • the present application also provides a computer-readable storage medium, where the computer-readable storage medium stores a teaching analysis program, and the teaching analysis program implements the teaching analysis as described above when executed by a processor. Method steps.
  • the teaching analysis method provided in this application obtains the attention index and synchronization rate of each student in the entire class, and then counts the number of students at the same attention level and the same synchronization rate level.
  • the distribution of the class synchronization rate and the corresponding teaching analysis report were generated, which realized the quantification and intuitive display of the effect of the whole class.
  • FIG. 1 is a schematic structural diagram of a teaching analysis server involved in a solution according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a first embodiment of a teaching analysis method of the present application
  • FIG. 3 is a detailed schematic diagram of the attention of the students in the class in the embodiment of the present application.
  • FIG. 5 is a schematic diagram of the detailed steps of step S11 in FIG. 4; FIG.
  • FIG. 6 is a schematic flowchart of a third embodiment of a teaching analysis method of the present application.
  • FIG. 7 is a schematic diagram showing a teaching analysis report in the embodiment of the present application.
  • the main solution of the embodiment of the present application is to obtain the attention index and synchronization rate of each student in the entire class, where the attention index indicates the average attention of the students during the entire class, and the synchronization rate indicates the entire class.
  • the degree of synchronization between the student's attention and the average attention of the class according to each student's attention index and synchronization rate, correspondingly evaluate each student's attention level and synchronization rate level; statistics are collected at the same attention level and the same synchronization rate, respectively
  • the number of students at different levels obtains the distribution of the attention level of the entire class and the distribution of the synchronization rate of the entire class; and generates a teaching analysis report for the entire class according to the distribution of the attention of the class and the synchronization rate of the entire class.
  • the teacher's evaluation of the lecture effect can only be assessed by means of staged assessment exams or questioning during the class. It is not possible to have a more quantitative and intuitive understanding of the effect of the lectures of the entire class, such as how many students are listening carefully in the classroom. How many students have not listened very carefully, and how many students have been constantly waiting, which is not conducive to the teacher's timely and accurate grasp of the effect of the class's students.
  • the teaching analysis method provided in this application obtains the attention index and synchronization rate of each student in the entire class, and then counts the number of students at the same attention level and the same synchronization rate level.
  • the distribution of the class synchronization rate and the corresponding teaching analysis report were generated, which realized the quantification and intuitive display of the effect of the whole class.
  • FIG. 1 is a schematic structural diagram of a teaching analysis server according to a solution of an embodiment of the present application.
  • the teaching analysis server of the embodiment of the present application is deployed in a teaching analysis system.
  • the teaching analysis system further includes an EEG data acquisition device and a wireless gateway.
  • the EEG data collected by the EEG data acquisition device is sent to the teaching analysis server through the wireless gateway so that The teaching analysis server performs teaching analysis based on the EEG data.
  • the teaching analysis server may include a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002.
  • the communication bus 1002 is used to implement connection and communication between these components.
  • the user interface 1003 may include a display, an input unit such as a keyboard, and the optional user interface 1003 may further include a standard wired interface and a wireless interface.
  • the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the memory 1005 may be a high-speed RAM memory or a non-volatile memory. memory), such as disk storage.
  • the memory 1005 may optionally be a storage device independent of the foregoing processor 1001.
  • FIG. 1 does not constitute a limitation on the teaching analysis server, and may include more or fewer components than shown in the figure, or combine certain components, or arrange different components.
  • the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a teaching analysis program.
  • the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server;
  • the user interface 1003 is mainly used to connect to the client (user) and perform data communication with the client;
  • the processor 1001 may be used to call a teaching analysis program stored in the memory 1005, and perform operations in the following embodiments of the teaching analysis method.
  • FIG. 2 is a schematic flowchart of a first embodiment of a teaching analysis method of the present application. The method includes:
  • Step S10 Obtain an attention index and a synchronization rate of each student in the entire class.
  • the attention index indicates the average attention of the student during the entire class
  • the synchronization rate indicates the student's attention and the average of the entire class during the entire class.
  • the attention index and synchronization rate of each student in the class are first obtained.
  • the attention index indicates the average attention of the students in the entire class.
  • the higher the attention index the more concentrated the students are, and the better the effect of the lecture;
  • the synchronization rate indicates that the students' attention and the whole class are average during the entire class.
  • the degree of attention synchronization the higher the synchronization rate, the more the students can keep up with the teacher's rhythm.
  • FIG. 3 is a schematic diagram of the attention details of the students in the class in the embodiment of the present application.
  • the figure shows the attention index and synchronization rate of each student in the class, and the average attention index and average synchronization of the class.
  • the rate through this form, can quantify and intuitively reflect the students' attention during the class.
  • Step S20 According to each student's attention index and synchronization rate, correspondingly evaluate each student's attention level and synchronization rate level;
  • step S20 may include: determining a preset interval in which each student's attention index and synchronization rate are located, so as to correspondingly evaluate each student's attention level and synchronization rate level.
  • different evaluation intervals can be set for the target student's attention index and synchronization rate respectively, so by determining where each student's attention index and synchronization rate are located, .
  • the above step S20 may include: calculating the average attention index and the average synchronization rate of the entire class according to the attention index and the synchronization rate of each student; Compare with the class's average attention index and average synchronization rate to evaluate each student's level of attention and synchronization rate.
  • the attention index of each student in the entire class during the entire class can be obtained first, and then the average value of the attention index of the entire student in the entire class can be obtained.
  • the attention index of the whole class and then compare the attention index of a target student with the attention index of the entire class to evaluate the attention level of the target student. For example, when the target student's attention index is higher than the class's attention index, the target student's attention level is evaluated to be high. When the target student's attention index is equal to the class's attention index, the target student's attention is evaluated.
  • the power level is medium. When the target student's attention index is lower than the class's attention index, the target student's attention level is evaluated to be low. In this way, it is possible to evaluate the attention level of each student.
  • the synchronization rate of each student When evaluating the synchronization rate of each student, you can first obtain the synchronization rate of each student in the class, and then find the average of the synchronization rate of the students in the class as the synchronization rate of the entire class, and then set a target The synchronization rate of the students is compared with the synchronization rate of the entire class to evaluate the synchronization rate level of the target student. For example, when the synchronization rate of the target students is higher than the synchronization rate of the entire class, the synchronization rate of the target students is evaluated as high. When the synchronization rate of the target students is equal to the synchronization rate of the entire class, the synchronization rate of the target students is evaluated as medium. When the synchronization rate of the target students is lower than the synchronization rate of the whole class, the evaluation of the synchronization rate of the target students is low. In this way, the synchronization rate of each student can be evaluated.
  • Step S30 Count the number of students at the same attention level and the same synchronization rate level to obtain the distribution of the attention level and the synchronization rate of the entire class;
  • the distribution of the attention level of the whole class can be expressed as: 26 students with a high level of attention, 20 students with a medium level of attention, and an attention level of The number of students with a low synchronization rate is 4; the distribution of the synchronization rate of the whole class can be expressed as follows: the number of students with a high synchronization rate is 16; the number of students with a medium synchronization rate is 24; the number of students with a high synchronization rate is 10 people.
  • step S30 may further include: counting the number of students at the same attention level and the same synchronization rate level, and the ratio of the number of students to the total number of the class; and drawing a pie chart of the distribution of the class's attention level according to the statistical results. Graph and pie chart of horizontal distribution of class-wide synchronization rate. In this way, a more intuitive display of the distribution of attention levels and the synchronization rate distribution of the entire class is achieved.
  • Step S40 Generate a teaching analysis report of the entire class according to the distribution of the attention level of the entire class and the distribution of the synchronization rate of the entire class.
  • step S40 it may further include the steps of: providing corresponding teaching suggestions according to the average attention change curve of the whole class; and displaying the average attention change curve of the whole class and the teaching suggestion in the teaching Analysis report.
  • the above-mentioned curve of the average attention of the entire class over time can also be displayed in a teaching analysis report.
  • the curve of the class's average attention over time can be found in the period when the class's average attention is high and the period when the class's average attention is low.
  • teachers can provide different teaching suggestions, such as in During the period when the class's average attention is low, teachers are advised to combine teaching content to remind students to consolidate what they have learned during this period.
  • the teacher's teaching recordings and teaching courseware can also be obtained and stored in the teaching analysis server, so that students can review the lessons with the teacher's teaching recordings and teaching courseware.
  • the teaching analysis method provided in this embodiment obtains the attention index and synchronization rate of each student in the entire class, and then counts the number of students at the same attention level and the same synchronization rate level.
  • the distribution of the synchronization rate of the entire class and the corresponding teaching analysis report are generated to quantify and intuitively display the lecture effect of the whole class, so that the teacher can grasp the lecture effect of the class in a timely and accurate manner.
  • FIG. 4 is a schematic flowchart of a second embodiment of a teaching analysis method of the present application. Based on the embodiment shown in FIG. 2 above, step S10 may include:
  • Step S11 Obtain and analyze the EEG data of each student in the class during the class, and obtain the attention index and the change curve of the attention of each student, as well as the average change curve of the entire class;
  • step S12 for each student, the degree of coincidence between the attention change curve and the average attention change curve of the whole class is analyzed, and the degree of coincidence is used as the synchronization rate.
  • the EEG data of each student in the class during the class is acquired.
  • EEG data acquisition equipment can be worn for each student in the class, and a wireless connection between each EEG data acquisition equipment and the teaching analysis server is established through a wireless gateway.
  • the EEG data acquisition equipment collects in real time
  • the EEG data of the students in the class are sent to the teaching analysis server through the wireless gateway, so that the teaching analysis server receives the EEG data of the students in the class.
  • the teaching analysis server can also receive the teaching analysis instructions from itself.
  • the storage unit or external storage device obtains pre-saved EEG data.
  • the teaching analysis server analyzes the EEG data to obtain each student's attention index and attention change curve, as well as the class's average attention change curve. Among them, each student's attention change curve is used to represent the student. The relationship between the change in the attention index over time and the average attention curve of the whole class is used to represent the change in the average attention of the class students over time.
  • FIG. 5 is a schematic diagram of the detailed steps of step S11 in FIG. 4.
  • the above step S11 may include:
  • Step S111 Receive the EEG data of each student in the class sent by the EEG data acquisition device during the class;
  • Step S112 convert the received EEG data into a corresponding attention index according to a preset correspondence between the EEG data and the attention index;
  • step S113 for each student, the average value of the attention index at each time point during the class is obtained as the attention index, and at the same time, the curve of the change of the attention index with time during the class is drawn. As its attention curve;
  • step S114 a curve of the average attention index of the whole class during the class as a function of time is plotted as a change curve of the average attention of the entire class.
  • the EEG data of the students in different mental states can be collected, and then FFT (Fast Fourier Transformation (Fast Algorithm of Discrete Fourier Transform) to obtain the frequency domain information of the EEG data, and then classify the frequency domain information by a deep learning algorithm (such as what kind of frequency domain information is the student in a relaxed state, what kind of frequency (The student is in a centralized state when the domain information is in the state), so as to obtain a deep learning model.
  • a deep learning algorithm such as what kind of frequency domain information is the student in a relaxed state, what kind of frequency (The student is in a centralized state when the domain information is in the state), so as to obtain a deep learning model.
  • the received EEG data is input into the deep learning model, and the EEG data can be converted. Is the corresponding attention index, and the higher the attention index, the more concentrated the students are.
  • the teaching analysis server converts its EEG data into the corresponding attention index according to the above-mentioned deep learning model.
  • a curve of the student's attention index during the course of time can be drawn.
  • the curve is For the student's attention curve during the entire lesson, average the student's attention index at each time point during the class. The average value is used as the student's attention index during the entire class. . In this way, each student's attention index and attention change curve can be obtained.
  • FIG. 6 is a schematic flowchart of a third embodiment of a teaching analysis method of the present application. Based on the above embodiment, after step S40, the method may further include:
  • Step S50 Obtain course attribute information, where the course attribute information includes the instructor, class time, class and class name;
  • Step S60 Display the course attribute information in the teaching analysis report.
  • the teaching analysis server when it generates a teaching analysis report, it can receive a user's input instruction to obtain course attribute information.
  • the course attribute information includes the instructor, class time, class and class name, and is used to: Distinguish different teaching analysis reports. After that, the acquired course attribute information is displayed in the teaching analysis report for the convenience of users.
  • FIG. 7 is a schematic diagram showing a teaching analysis report in an embodiment of the present application.
  • the teaching analysis report is a teaching analysis report for the history class of teacher Zhang Dazhuang in the third grade class on September 13, 2017, from 10:00 to 10:40 am.
  • the report shows the distribution curve of the attention level of the whole class.
  • the pie chart, the pie chart of the synchronization rate distribution of the whole class, the average attention change curve of the whole class, and the corresponding teaching suggestions thus realizing the quantification and intuitive display of the effect of the entire class, so that users can evaluate the teaching effect. .
  • the present application also provides a computer-readable storage medium.
  • the computer-readable storage medium of the present application stores a teaching analysis program, and when the teaching analysis program is executed by a processor, the steps of the teaching analysis method described above are implemented.

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Abstract

L'invention concerne un procédé d'analyse d'enseignement. Le procédé consiste à : acquérir des indices d'attention et des taux de synchronisation de tous les étudiants dans une classe, l'indice d'attention représentant l'attention moyenne des étudiants pendant un cours entier, et le taux de synchronisation représentant un degré de synchronisation entre l'attention d'un étudiant pendant tout le cours et l'attention moyenne de la classe entière ; en fonction de l'indice d'attention et du taux de synchronisation de chaque étudiant, évaluer de manière correspondante le niveau d'attention et le niveau de taux de synchronisation de chaque étudiant ; compter respectivement le nombre d'étudiants ayant le même niveau d'attention et le même niveau de taux de synchronisation de sorte à obtenir un état de distribution de niveau d'attention de classe entière et un état de distribution de niveau de taux de synchronisation de classe entière ; et générer un rapport d'analyse d'enseignement de la classe entière en fonction de l'état de distribution de niveau d'attention de classe entière et de l'état de distribution de niveau de taux de synchronisation de classe entière. L'invention concerne en outre un serveur d'analyse d'enseignement et un support d'informations lisible par ordinateur. La présente invention permet d'afficher quantitativement et visuellement l'effet d'écoute lors d'un cours des étudiants dans une classe.
PCT/CN2019/086191 2018-05-23 2019-05-09 Procédé et serveur d'analyse d'enseignement, et support d'informations lisible par ordinateur Ceased WO2019223543A1 (fr)

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CN201810504361.8A CN108805762A (zh) 2018-05-23 2018-05-23 教学分析方法、服务器及计算机可读存储介质
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CN116138780B (zh) * 2022-12-30 2023-08-08 北京视友科技有限责任公司 一种学生注意力评价方法、终端及计算机可读存储介质

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