Teacher classroom teaching process analysis method based on artificial intelligence technology and teacher classroom teaching process analysis system based on artificial intelligence technology

A technology of artificial intelligence and process analysis, applied in the information field, can solve the problems of lack of accurate description of the complete process of classroom teaching, data collection limitations and high probability deviations, etc., to achieve good teaching measurement analysis, complete and accurate data collection, and analysis results accurate effect

Inactive Publication Date: 2018-04-17
广州思涵信息科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even the more advanced third scheme, due to the limitations of its technical application, has limitations and high probability of deviation in the data collection of classroom process analysis
Moreover, in practical applications, it is limited to the traditional S-T teaching analysis method, which lacks an accurate description of the complete process of classroom teaching

Method used

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  • Teacher classroom teaching process analysis method based on artificial intelligence technology and teacher classroom teaching process analysis system based on artificial intelligence technology
  • Teacher classroom teaching process analysis method based on artificial intelligence technology and teacher classroom teaching process analysis system based on artificial intelligence technology

Examples

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Comparison scheme
Effect test

Embodiment 1

[0067] Such as figure 2 As shown, a method for analyzing the classroom teaching process of teachers based on artificial intelligence technology includes the following steps:

[0068] S1: collect videos of teachers in class;

[0069] S2: Image recognition processing: Recognize and mark the class images and video playback images respectively;

[0070] In step S2, image recognition processing includes the following steps:

[0071] S2.1: Divide the video into several segments according to the image changes;

[0072] S2.2: According to the threshold set by the video image change rate, determine whether each segment is a class image or a video playback image:

[0073] No processing will be done on images that are judged to be real in class;

[0074] If it is judged to be a video playback image, then the video segments are merged and the features are marked;

[0075] S2.3: Record the time value of the video segment and store it in the database.

[0076] S3: Speech recognition ...

Embodiment 2

[0093] A classroom teaching process analysis system for teachers based on artificial intelligence technology, including:

[0094] Video collection module: used to collect videos of teachers in class;

[0095] Image recognition processing module: used to identify and mark the class images and video playback images respectively;

[0096] Speech recognition processing module: used to extract audio data and classify audio data through voiceprint recognition;

[0097] Automatic analysis and application module: It is used to analyze the teacher's classroom teaching process according to the results of image recognition processing and speech recognition processing.

[0098] This embodiment provides an analysis system for teachers' classroom teaching process based on artificial intelligence technology, which can support the routine and wide application of the front line of teaching. The implementation process can be carried out from behavior marking to final diagnosis by using smart m...

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Abstract

The invention provides a teacher classroom teaching process analysis method based on the artificial intelligence technology and a teacher classroom teaching process analysis system based on the artificial intelligence technology. The method comprises the steps that the class video of the teacher is acquired; image recognition processing and voice recognition processing are performed; and teacher classroom teaching process analysis is performed according to the result of image recognition processing and voice recognition processing. The big data acquisition standard of the classroom teaching process can be established, the analysis data of the classroom teaching process can be accurately acquired and the analysis result can be automatically generated; and teaching process analysis and learning condition analysis can be associated so that the teaching mode can be analyzed and the teaching effect produced by different teaching modes can also be analyzed. Data acquisition is more completeand accurate, and the analysis result is enabled to be more accurate through combination of the image recognition and voiceprint recognition technology of the artificial intelligence technology. The method is not limited to the conventional S-T analysis method, and multiple teaching processes of teaching of the teacher, interaction between the teacher and the students, group discussion of the students, teaching video playing and silent practice can be accurately recognized.

Description

technical field [0001] The present invention relates to the fields of information technology and education technology, and more specifically, to a method and system for analyzing a teacher's classroom teaching process based on artificial intelligence technology. Background technique [0002] The existing teachers' classroom teaching process analysis mainly adopts the following three methods. [0003] One is to record the teacher's time usage in class directly through expert auditing without using technical means, which is completely manual; [0004] The second is to use auxiliary timing equipment to record the teacher's class time and the interaction time between the teacher and the students. This type of auxiliary equipment requires the teacher to manually press the button to start and end the recording, which is semi-automatic; [0005] The third is to use some relatively new technologies, such as video tracking (common in recording and broadcasting systems), or voice rec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20G06F17/30G06K9/00G10L15/08
CPCG06F16/61G06F16/71G06Q10/0639G06Q50/205G10L15/08G06V20/40
Inventor 李昊郑凯林南晖黄叶敏
Owner 广州思涵信息科技有限公司
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