阅读说明：本技术 一种基于ai和大数据的教学监测平台 (Teaching monitoring platform based on AI and big data ) 是由 刘永刚 姚立权 朱虹 于 2021-08-24 设计创作，主要内容包括：本发明公开了一种基于AI和大数据的教学监测平台,其特征在于：包括大数据平台,以及与大数据平台通讯连接的学生AI监控设备、教师AI监控设备、课件监控设备。本发明针对现有教学过程中存在的问题,提供了一种基于AI和大数据的教学监测平台,有效的对教学过程进行监测,以对后期改进提供依据,从而有效解决课堂上课学生不能集中精力听课的问题。本方案对采集的数据在大数据平台进行数据分析,还可将分析结果出具具体的分析报告作为学生听课成绩以及老师授课成绩评定依据。同时本方案还可用于考试之中,用于监控学生的答题状态以便对后期的评卷进行参考。(The invention discloses a teaching monitoring platform based on AI and big data, which is characterized in that: the system comprises a big data platform, and student AI monitoring equipment, teacher AI monitoring equipment and courseware monitoring equipment which are in communication connection with the big data platform. The invention provides a teaching monitoring platform based on AI and big data aiming at the problems in the existing teaching process, which effectively monitors the teaching process to provide a basis for later improvement, thereby effectively solving the problem that students on a class can not focus on the class. According to the scheme, data analysis is carried out on the collected data on a big data platform, and a specific analysis report can be provided for an analysis result to serve as an evaluation basis for student class attendance scores and teacher class scores. Meanwhile, the scheme can also be used in examinations and used for monitoring the answering states of students so as to refer to the examination papers at the later stage.)

1. The utility model provides a teaching monitoring platform based on AI and big data which characterized in that: the system comprises a big data platform, and student AI monitoring equipment, teacher AI monitoring equipment and courseware monitoring equipment which are in communication connection with the big data platform;

the student AI monitoring equipment and/or the teacher AI monitoring equipment comprise temperature sensors, heartbeat sensors, distance measuring sensors and cameras; the temperature sensor is used for monitoring the environment temperature and the body temperature of students and/or teachers, the heartbeat sensor is used for monitoring the heartbeat condition of the students and/or teachers, the distance measuring sensor is used for monitoring the limb actions of the students and/or teachers, and the camera is used for monitoring the facial expressions of the students and/or teachers;

the courseware monitoring equipment comprises an information acquisition module, and the information acquisition module receives electronic courseware content and blackboard handwriting content acquired by a camera;

the big data platform comprises a data statistics module, a data processing module and a data analysis module; the data statistical module is used for counting the collected data, the data processing module is used for processing the counted data, and the data analysis module is used for carrying out statistical analysis on the data collected from the monitoring equipment.

2. The AI and big data based teaching monitoring platform of claim 1, wherein: the communication connection is 5G communication connection.

Technical Field

The invention relates to the field of teaching equipment, in particular to a teaching monitoring platform based on AI and big data.

Background

Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science with the goal of understanding the essence of intelligence and producing a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence has made a rapid development, but in the field of teaching, the application is not much.

Meanwhile, in the current domestic teaching process, the problems of teaching and learning quality exist more or less inevitably, and no matter colleges, professions, high schools, junior middle schools and primary schools, the situation that teachers teach above the school, students do not study with poor time below the school, and the situation that the students cannot follow the school, so that the teaching effect and the achievement are influenced. In addition, in some cases, there are also phenomena that the teacher does not prepare lessons carefully, there is a difference between the content of the lecture and the preparation of courseware, which results in missing knowledge points, and that the mood and the classroom order cannot be well grasped.

In summary, how to use artificial intelligence and big data technology in the teaching process to improve the teaching quality becomes the problem that needs to be solved urgently.

Disclosure of Invention

The invention aims to provide a teaching monitoring platform based on AI and big data, which aims to solve the problems in the prior art.

The invention is realized by the following technical scheme: the utility model provides a teaching monitoring platform based on AI and big data which characterized in that: the system comprises a big data platform, and student AI monitoring equipment, teacher AI monitoring equipment and courseware monitoring equipment which are in communication connection with the big data platform;

the student AI monitoring equipment and/or the teacher AI monitoring equipment comprise temperature sensors, heartbeat sensors, distance measuring sensors and cameras; the temperature sensor is used for monitoring the environment temperature and the body temperature of students and/or teachers, the heartbeat sensor is used for monitoring the heartbeat condition of the students and/or teachers, the distance measuring sensor is used for monitoring the limb actions of the students and/or teachers, and the camera is used for monitoring the facial expressions of the students and/or teachers;

the courseware monitoring equipment comprises an information acquisition module, and the information acquisition module receives electronic courseware content and blackboard handwriting content acquired by a camera;

the big data platform comprises a data statistics module, a data processing module and a data analysis module; the data statistical module is used for counting the collected data, the data processing module is used for processing the counted data, and the data analysis module is used for carrying out statistical analysis on the data collected from the monitoring equipment.

Further: the communication connection is 5G communication connection.

The invention has the advantages that: the invention provides a teaching monitoring platform based on AI and big data aiming at the problems in the existing teaching process, which effectively monitors the teaching process to provide a basis for later improvement, thereby effectively solving the problem that students on a class can not focus on the class. According to the scheme, data analysis is carried out on the collected data on a big data platform, and a specific analysis report can be provided for an analysis result to serve as an evaluation basis for student class attendance scores and teacher class scores. Meanwhile, the scheme can also be used in examinations and used for monitoring the answering states of students so as to refer to the examination papers at the later stage.

Drawings

FIG. 1 is a schematic view of the overall structure of the present invention;

FIG. 2 is a schematic structural diagram of an AI monitoring device;

fig. 3 is a schematic structural diagram of courseware monitoring equipment.

Detailed Description

As shown in fig. 1-3, a teaching monitoring platform based on AI and big data according to the present invention includes a big data platform, and a student AI monitoring device, a teacher AI monitoring device, and a courseware monitoring device, which are in communication connection with the big data platform;

the student AI monitoring equipment and/or the teacher AI monitoring equipment (AI monitoring equipment for short) comprise a temperature sensor, a heartbeat sensor, a distance measuring sensor and a camera;

the temperature sensors are used for monitoring the environmental temperature and the body temperatures of students and/or teachers, and comprise a plurality of temperature sensors connected with AI monitoring equipment, wherein the temperature sensors can be in a contact type or a non-contact type and are used for measuring body temperature data and the environmental temperature, so that the body temperature of people tends to be constant in a short time (such as in a lesson or an examination) under the condition that the environmental temperature does not fluctuate in a normal state, but when people have large psychological fluctuation, such as tension, confusion and the like, the physiology can change, the body temperature can fluctuate slightly at the same time, and the psychological state of a monitored person can be reflected to a certain extent by monitoring the body temperature;

the heartbeat sensor is used for monitoring the heartbeat condition of students and/or teachers, and the heartbeat frequency is constant in a short time when people are in a normal state, so that the heartbeat is monitored, and the psychological state of a monitored person can be reflected to a certain extent;

the distance measuring sensor is used for monitoring the limb actions of students and/or teachers, the postures of the students are stable when the students listen to or answer questions seriously, and if frequent shaking, moving or sudden large-range actions occur, the listening states may fluctuate or abnormal behaviors exist; when the system is taken as a teacher, when the talkback class content is well controlled, the actions are stable, including the movement is also constant, if the movement is suddenly changed, the movement may be stopped, flustered and the like, which indicates that the control of courses is in problem;

the camera is used for monitoring facial expressions of students and/or teachers and storing the facial expressions regularly to serve as evidence for later judgment;

the courseware monitoring equipment comprises an information acquisition module, and the information acquisition module receives electronic courseware content and blackboard handwriting content acquired by a camera;

the big data platform comprises a data statistics module, a data processing module and a data analysis module; the data statistics module is used for carrying out statistics on the acquired data; the data processing module processes the counted data, and the data analysis module performs statistical analysis on the data collected from the monitoring equipment. For example, the average value is calculated according to the data collected by the AI monitoring equipment according to the body temperature change data, the data quantity and the abnormal data quantity in the normal range are counted according to the set reasonable fluctuation range (such as +/-5 percent), and the corresponding conclusion is obtained by analyzing according to the counting result. The conclusion can be drawn by setting in advance, for example, the ratio of abnormal data is divided into 10% and 30%, when the abnormal data is less than 10%, the conclusion is good, when the abnormal data is more than 30%, the conclusion is poor, and the others are good. The above conclusion can also be combined with the existing big data analysis theory.

Example 1

A teaching monitoring platform based on AI and big data, like the platform system general diagram of FIG. 1, in the teaching monitoring platform based on AI and big data, the current state of the student is collected and transmitted to the big data platform through student AI monitoring equipment, and the teaching state of the teacher giving lessons is collected to the big data platform through teacher AI monitoring equipment. Meanwhile, the collected contents of the electronic teaching courseware and the handwriting board book are transmitted to a big data platform. The big data platform analyzes the information of the students and provides a corresponding report, and the report can reflect the learning state of the students in the whole class and can be used as a reference of the student scores. The big data platform analyzes and counts the teaching state of the teacher giving lessons and is used as an important reference for the annual and terminal assessment and promotion of job title of the teacher. Respectively collecting the contents of electronic teaching courseware and handwriting books, analyzing and judging whether the teaching contents have errors or not according to big data analysis, and feeding the problems back to a teacher giving lessons and a teaching department in time; meanwhile, courseware and blackboard-writing contents are compared, and consistency is evaluated, so that the teaching contents in the later period are promoted.

The AI monitoring equipment shown in fig. 2 collects facial expressions of students and teachers giving lessons through the camera, collects ambient temperature through the temperature sensor, monitors heartbeat frequency of the students and teachers giving lessons at that time through the remote heartbeat sensor, and then takes the heartbeat frequency as a reference for analyzing psychological states. The movement of each limb of the student is detected by the distance measuring sensor. And the data are transmitted to a big data platform, and the big data platform performs statistical analysis on the whole detection data to give the effects of lectures and teaching of the current students and teachers.

The courseware monitoring device shown in fig. 3 collects electronic courseware prepared by a teacher during preparation and stored in the electronic device and blackboard-writing content handwritten on a blackboard during teaching of the teacher to the information collection module, wherein the blackboard-writing content can be collected by a camera and identified to generate an electronic document of the blackboard-writing content handwritten by the teacher. And the information acquisition module transmits the acquired data information to the big data platform. The big data platform compares the blackboard writing with the courseware and judges the consistency of the blackboard writing and the courseware, so that the blackboard writing quality is judged.

Example 2

Data acquisition was performed and a corresponding report was generated as in example 1. In the student AI monitoring equipment, data are collected at the frequency of 2-3 times/minute, including body temperature data and heartbeat frequency data; averaging a plurality of data acquired by each group, calculating the deviation of each data from the average value, regarding the data exceeding a normal range (set according to specific conditions, such as 5%) as abnormal states, generating reports according to the data quantity and the acquisition time of the abnormal states, and regarding the time points at which a plurality of abnormalities occur simultaneously as serious abnormal points. If the heartbeat frequency is suddenly increased in the 10 th minute with the temperature rise, and the data of the ranging sensor and the image collected by the camera are combined, whether the time point is abnormal or not can be judged, if the testee is in a listening state, conditions such as small difference, sliding number and the like can exist, and if the testee is in an examination state, a tendency or situation such as plagiarism and disterrifying can exist. The big data platform generates reports according to needs, and the reports are used for students and teachers to carry out self-check on the state of listening and giving lessons so as to strengthen management and control and automatic control, thereby improving the teaching effect; and when an abnormal state occurs, an alarm signal such as vibration or an optical signal is sent to an external terminal to prompt a supervisor to process the abnormal condition in time, and the image collected by the camera can be used as an analysis basis or evidence.

It should be noted that, in this scheme, each monitoring component is an existing device, and the related big data processing method and the related comparison method are existing technologies.

In conclusion, the invention designs a teaching monitoring platform based on AI and big data aiming at the problems in the prior art, and aims to solve the problem that students on a classroom cannot concentrate on listening to lessons. The platform scans the facial expressions, hand and foot actions and other conditions of each student in real time and transmits data to the big data platform in real time. Meanwhile, various limb actions and facial expression conditions of the teacher are scanned in real time and uploaded to a big data platform. And collecting the contents of the teaching courseware to a data platform. And (4) carrying out data analysis on a big data platform, and giving a specific analysis report of an analysis result as a student class attendance score and a teacher class attendance score. Meanwhile, the teaching platform can be used in examinations and used for monitoring the answering states of students so as to refer to the examination papers in the later period.