CN110929991A - Learning quality assessment system and method based on classroom student behavior analysis - Google Patents
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Abstract
The invention discloses a learning quality evaluation system and method based on classroom student behavior analysis in the technical field of behavior analysis, and the learning quality evaluation system comprises an information acquisition module, an information storage module, a database, a comparison and identification module, a behavior analysis module, an evaluation standard formulation module, an evaluation algorithm module and an evaluation report generation module, wherein the database is used for pre-inputting identity information of all students and teachers, the evaluation standard formulation module is used for pre-inputting evaluation standards, and the information acquisition module acquires student video image information and teacher video image information; according to the invention, when the learning quality of students is evaluated, teachers are considered in the evaluation method, so that the evaluation method can be correspondingly adjusted according to teaching modes of different teachers, the evaluation result is more scientific and reasonable, and the evaluation report is generated, so that the evaluation result is clear in order, the problem can be solved and improved in a targeted manner through the evaluation report, and the teaching efficiency of the teachers and the learning receiving efficiency of the students are enhanced.
Description
Technical Field
The invention relates to the technical field of behavior analysis, in particular to a learning quality evaluation system and method based on classroom student behavior analysis.
Background
The learning quality evaluation includes evaluation of learning attitude and evaluation of learning ability. Mainly see if students are conscientious, active and active to learn. If so, whether the preview can be performed as required; whether the above Chinese language is listened to for speaking seriously in class or not, thinking actively, and leaping into speech; whether the operation can be independently completed on time or not; whether or not the problematic issue is addressed, etc. At present, research on student assessment mainly focuses on theories, the adopted mode is single, questionnaire investigation and interview are generally adopted, a general mathematical statistics method is adopted for a result processing mode, and the result is used as a reference for improving the learning efficiency of students and improving teaching methods.
With the progress of science and technology, the space-time limitation of traditional classroom teaching is broken through by the internet and education, the study quality assessment is more optimized, and the accuracy of the study quality assessment is improved by using classroom student behavior analysis. The behavior analysis is a technique of identifying and analyzing the behavior of a pedestrian by analyzing data such as a video and a depth sensor and using a specific algorithm. The technology is widely applied to the fields of video classification, man-machine interaction, security monitoring and the like. Behavioral analysis contained two study directions: individual behavior analysis and group behavior (event) analysis. In recent years, the development of a depth imaging technology enables a depth image sequence of human body motion to be easily acquired, and a high-precision skeleton estimation algorithm is combined to further extract a human body skeleton motion sequence. By utilizing the motion sequence information, the behavior analysis performance is greatly improved, and the method has important significance for intelligent video monitoring, intelligent traffic management, intelligent city construction and the like. However, the current learning quality evaluation only analyzes the behaviors of students in a single way, neglects the instructive action of teachers on the students and causes large error of evaluation results. Based on the above, the invention designs a learning quality evaluation system and method based on classroom student behavior analysis to solve the above problems.
Disclosure of Invention
The invention aims to provide a learning quality evaluation system and method based on classroom student behavior analysis, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a learning quality evaluation system based on classroom student behavior analysis comprises an information acquisition module, an information storage module, a database, a comparison identification module, a behavior analysis module, an evaluation standard formulation module, an evaluation algorithm module and an evaluation report generation module, wherein the database is used for pre-entering identity information of all students and teachers, the evaluation standard formulation module is used for pre-entering evaluation standards, the information acquisition module is used for acquiring student video image information and teacher video image information, the information storage module is used for receiving and storing the information acquired by the information acquisition module according to classification of the students and the teachers, the comparison identification module is used for calling the information stored in the information storage module and the information in the database and carrying out identity confirmation through comparison identification, the behavior analysis module is used for performing behavior analysis on the basis of the comparison identification module, the evaluation algorithm module is used for comprehensively receiving the behavior analysis module and the evaluation standard making module and evaluating through a computer, and the evaluation report generation module is used for receiving the result of the evaluation algorithm module and generating an evaluation report.
Preferably, the signal output end of the information acquisition module is electrically connected with the signal input end of the information storage module through remote wireless communication, and the signal output ends of the signal storage module and the database are electrically connected with the signal input end of the comparison identification module through signal transmission lines.
Preferably, the comparison and identification module comprises an identity identification unit, a track identification unit and an environment judgment and compensation identification unit, the identity identification unit receives the face information transmitted by the information acquisition module, the identity identification unit calls the identity information of the database, the track identification unit receives and identifies the action and expression information transmitted by the information acquisition module, and the environment judgment and compensation identification unit receives and identifies the sheltered or offset information transmitted by the information acquisition module.
Preferably, the database further comprises examination room student video image information used for analyzing the examination state of the student examination room.
A learning quality assessment method based on classroom student behavior analysis comprises the following specific steps:
first, information acquisition
Video monitors are respectively arranged at the left end, the right end and the center of the top of the front inner wall and the rear inner wall of the classroom, sound recorders are respectively arranged at the centers of the top of the front inner wall and the rear inner wall of the classroom, and the video monitors and the sound recorders are respectively controlled by the information acquisition module to acquire video image information of students and video image information of teachers in the classroom;
second, information storage
The information storage module comprises a student information storage unit and a teacher information storage unit, and the information acquired by the information acquisition module is respectively transmitted to the student information storage unit and the teacher information storage unit according to the classification of student information and teacher information;
third, recognition analysis
The database is used for inputting all student information and all teacher information in advance, the comparison and identification module calls the identity information of students and teachers in the database and the information storage module respectively to carry out face identification and confirmation, and the behavior analysis module analyzes individual behaviors and expressions after confirming the identity information;
the fourth step, evaluation calculation
The evaluation standard making module is used for entering evaluation standards in advance, the evaluation standards can be changed and adjusted at a background terminal, the evaluation algorithm module is used for receiving behavior analysis results and calling the evaluation standards of the evaluation standard making module, evaluation results are generated through algorithm calculation, and the evaluation report generating module is used for receiving the evaluation results and generating evaluation reports.
Preferably, the evaluation algorithm module further comprises an abnormality marking module for marking the student or teacher in the information storage module with excessively exaggerated abnormal behavior, and the abnormality marking module is further used for highlighting in the evaluation report generated by the evaluation report generation module.
Compared with the prior art, the invention has the beneficial effects that: according to the assessment method, teachers are considered in the assessment method when the learning quality of students is assessed, so that the assessment method can be correspondingly adjusted according to teaching modes of different teachers, assessment results are more scientific and reasonable, assessment results are clear and organized by generating assessment reports, problems can be solved and improved through the assessment reports, and the teaching efficiency of the teachers and the learning receiving efficiency of the students are enhanced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention.
FIG. 2 is a schematic diagram of a system comparison and identification module according to the present invention.
FIG. 3 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a learning quality evaluation system based on classroom student behavior analysis comprises an information acquisition module, an information storage module, a database, a comparison and identification module, a behavior analysis module, an evaluation standard formulation module, an evaluation algorithm module and an evaluation report generation module;
the database is used for inputting the identity information of all students and teachers in advance, and also comprises examination room student video image information used for analyzing the examination state of the examination room of the students;
the evaluation standard making module is used for inputting evaluation standards in advance;
the information acquisition module acquires student video image information and teacher video image information;
the signal output end of the information acquisition module is electrically connected with the signal input end of the information storage module through remote wireless communication, and the information storage module is used for receiving and storing the information acquired by the information acquisition module according to the classification of students and teachers;
the signal output ends of the signal storage module and the database are electrically connected with the signal input end of the comparison and identification module through signal transmission lines, the comparison and identification module is used for calling information stored in the information storage module and information in the database and comparing and identifying the information to confirm the identity, the comparison and identification module comprises an identity identification unit, a track identification unit and an environment judgment compensation identification unit, the identity identification unit receives face information transmitted by the information acquisition module, the identity identification unit calls the identity information of the database, the track identification unit receives action and expression information transmitted by the identification information acquisition module, and the environment judgment compensation identification unit receives shielded or offset information transmitted by the identification information acquisition module;
the signal output end of the comparison and identification module is electrically connected with the signal input end of the behavior analysis module, and the behavior analysis module is used for performing behavior analysis on the basis of the comparison and identification module;
the evaluation algorithm module also comprises an abnormal marking module which is used for marking the excessively exaggerated abnormal behaviors of students or teachers in the information storage module;
the signal output end of the evaluation algorithm module is electrically connected with the signal input end of the evaluation report generation module, the evaluation report generation module is used for receiving the result of the evaluation algorithm module to generate an evaluation report, and the abnormity marking module is also used for carrying out key marking on the evaluation report generated by the evaluation report generation module.
First, information acquisition
Video monitors are respectively arranged at the left end, the right end and the center of the top of the front inner wall and the rear inner wall of a classroom, sound recorders are respectively arranged at the centers of the top of the front inner wall and the rear inner wall of the classroom, and the video monitors and the sound recorders are respectively controlled by an information acquisition module to acquire video image information of students and video image information of teachers in the classroom;
second, information storage
The information storage module comprises a student information storage unit and a teacher information storage unit, and the information acquired by the information acquisition module is respectively transmitted to the student information storage unit and the teacher information storage unit according to the classification of the student information and the teacher information;
third, recognition analysis
The database is used for inputting all student information and all teacher information in advance, the comparison and identification module calls the identity information of students and teachers in the database and the information storage module respectively to carry out face identification and confirmation, and the behavior analysis module analyzes individual behaviors and expressions after confirming the identity information;
the fourth step, evaluation calculation
The evaluation standard making module is used for entering an evaluation standard in advance, the evaluation standard can be changed and adjusted at a background terminal, the evaluation algorithm module is used for receiving a behavior analysis result and calling the evaluation standard of the evaluation standard making module, an evaluation result is generated through algorithm calculation, and the evaluation report generating module is used for receiving the evaluation result and generating an evaluation report.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The utility model provides a learning quality evaluation system based on classroom student behavior analysis, includes information acquisition module, information storage module, database, contrast identification module, behavior analysis module, evaluation standard and formulates module, evaluation algorithm module and aassessment report generation module, its characterized in that: the database is used for inputting the identity information of all students and teachers in advance, the evaluation standard making module is used for inputting the evaluation standard in advance, the information acquisition module acquires student video image information and teacher video image information, the information storage module is used for receiving and storing the information acquired by the information acquisition module according to the classification of students and teachers, the comparison and identification module is used for calling the information stored in the information storage module and the information in the database and comparing and identifying the information for identity confirmation, the behavior analysis module is used for performing behavior analysis on the basis of the comparison and identification module, the evaluation algorithm module is used for comprehensively receiving the behavior analysis module and the evaluation standard making module and performing evaluation through a computer, and the evaluation report generating module is used for receiving the result of the evaluation algorithm module to generate an evaluation report.
2. The learning quality assessment system based on classroom student behavior analysis according to claim 1, wherein: the signal output end of the information acquisition module is electrically connected with the signal input end of the information storage module through remote wireless communication, and the signal output ends of the signal storage module and the database are electrically connected with the signal input end of the comparison identification module through signal transmission lines.
3. The learning quality assessment system based on classroom student behavior analysis according to claim 2, wherein: the comparison and identification module comprises an identity identification unit, a track identification unit and an environment judgment and compensation identification unit, the identity identification unit receives the face information transmitted by the information acquisition module, the identity identification unit calls the identity information of the database, the track identification unit receives and identifies the action and expression information transmitted by the information acquisition module, and the environment judgment and compensation identification unit receives and identifies the sheltered or offset information transmitted by the information acquisition module.
4. The learning quality assessment method based on classroom student behavior analysis according to claim 2, wherein: the database also comprises examination room student video image information used for analyzing the examination state of the student examination room.
5. A learning quality assessment method based on classroom student behavior analysis is characterized by comprising the following specific steps:
first, information acquisition
Video monitors are respectively arranged at the left end, the right end and the center of the top of the front inner wall and the rear inner wall of the classroom, sound recorders are respectively arranged at the centers of the top of the front inner wall and the rear inner wall of the classroom, and the video monitors and the sound recorders are respectively controlled by the information acquisition module to acquire video image information of students and video image information of teachers in the classroom;
second, information storage
The information storage module comprises a student information storage unit and a teacher information storage unit, and the information acquired by the information acquisition module is respectively transmitted to the student information storage unit and the teacher information storage unit according to the classification of student information and teacher information;
third, recognition analysis
The database is used for inputting all student information and all teacher information in advance, the comparison and identification module calls the identity information of students and teachers in the database and the information storage module respectively to carry out face identification and confirmation, and the behavior analysis module analyzes individual behaviors and expressions after confirming the identity information;
the fourth step, evaluation calculation
The evaluation standard making module is used for entering evaluation standards in advance, the evaluation standards can be changed and adjusted at a background terminal, the evaluation algorithm module is used for receiving behavior analysis results and calling the evaluation standards of the evaluation standard making module, evaluation results are generated through algorithm calculation, and the evaluation report generating module is used for receiving the evaluation results and generating evaluation reports.
6. The learning quality assessment method based on classroom student behavior analysis according to claim 5, wherein: the evaluation algorithm module further comprises an abnormity marking module for marking the abnormal behavior of the students or teachers in the information storage module, wherein the abnormity marking module is further used for marking the emphasis in the evaluation report generated by the evaluation report generation module.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112116264A (en) * | 2020-09-24 | 2020-12-22 | 北京易华录信息技术股份有限公司 | Activity evaluation method and apparatus |
| CN112132711A (en) * | 2020-08-07 | 2020-12-25 | 上海有间建筑科技有限公司 | Campus monitoring system applied to smart campus |
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| CN109858809A (en) * | 2019-01-31 | 2019-06-07 | 浙江传媒学院 | Learning quality appraisal procedure and system based on the analysis of classroom students ' behavior |
| CN110059614A (en) * | 2019-04-16 | 2019-07-26 | 广州大学 | A kind of intelligent assistant teaching method and system based on face Emotion identification |
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| CN109214664A (en) * | 2018-08-21 | 2019-01-15 | 重庆乐教科技有限公司 | A kind of emotion-directed behavior overall analysis system based on artificial intelligence |
| CN109359521A (en) * | 2018-09-05 | 2019-02-19 | 浙江工业大学 | The two-way assessment system of Classroom instruction quality based on deep learning |
| CN109858809A (en) * | 2019-01-31 | 2019-06-07 | 浙江传媒学院 | Learning quality appraisal procedure and system based on the analysis of classroom students ' behavior |
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