Teaching effect portrait method and robot system based on big data and artificial intelligence

A big data and portrait technology, applied in the information field, can solve the problems of low subjectivity and accuracy of teaching effect portraits, and achieve the effect of improving objectivity and accuracy

Pending Publication Date: 2018-11-09
SOUTH CHINA NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to address the defects or insufficiencies of teaching effect portraits in the prior art, and provide teaching effect portrait m

Method used

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  • Teaching effect portrait method and robot system based on big data and artificial intelligence
  • Teaching effect portrait method and robot system based on big data and artificial intelligence
  • Teaching effect portrait method and robot system based on big data and artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0049] 2. Example 2

[0050] On the basis of Embodiment 1, in a preferred embodiment, the evaluation label step S300 includes:

[0051] S301, read each evaluation unit of each teacher from the big data storage system (eg Zhang San, 2018002, Advanced Mathematics, 2018-5-23 to 2018-8-12; Zhang San, 2018002, English, 2018 school year; Li Si, 2018003, Chemistry, last semester 2017; etc.).

[0052] S302, establishing a teaching effect portrait for each teacher (eg, Zhang San's teaching effect portrait; Li Si's teaching effect portrait; etc.).

[0053] S303, use each evaluation unit of each teacher as an evaluation unit label of the teaching effect portrait of each teacher (for example, Zhang San, 2018002, Advanced Mathematics, 2018-5-23 to 2018-8-12 as Zhang San, 2018002, Advanced Mathematics, 2018-5-23 to 2018-8-12 An evaluation unit label of the teaching effect portrait of San; Zhang San, 2018002, English, 2018 school year as an evaluation unit label of Zhang San's teaching eff...

Example Embodiment

[0055] 3. Example 3

[0056]On the basis of Embodiment 1, in a preferred embodiment, the recording identification step S400 includes:

[0057] S401, identify each student from the teaching video corresponding to each evaluation unit of each teacher through face recognition technology, and encode the students. Preferably, the teaching video includes video recordings of students listening to lectures, doing experiments, practicing, taking notes, answering questions, reading aloud, and other classroom teaching processes.

[0058] S402, obtain the set of preset first actions from the teaching effect recognition knowledge base, and obtain the preset action set of listening carefully to the class and the preset action set of not listening carefully from the set;

[0059] S403: Identify the actions of each student in the teaching video corresponding to each evaluation unit of each teacher and match each action in the preset set of actions for listening carefully to the class (if the...

Example Embodiment

[0102] 7. Example 7

[0103] On the basis of any one of Embodiments 1 to 6, in a preferred embodiment, the evaluation unit includes a curriculum for a preset period; the first preset action includes the student raising his eyes to look forward or / and Hands-on notes.

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PUM

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Abstract

The invention discloses a teaching effect portrait method and robot system based on big data and artificial intelligence. The method comprises the following steps: serving each evaluation unit of eachteacher as an evaluation unit label of a teaching effect portrait of each teacher, identifying the proportion of occupying the total duration of each evaluation by the total duration of the first preset actions of all students in the teaching record corresponding to each evaluation unit of each teacher, and serving the proportion as the value of one evaluation unit label of the teaching effect portrait of each teacher. Through the method and system disclosed by the invention, the portrait can be performed on the teaching effect of the teacher through the reaction on the course by the studentin the teaching process big data, the teaching effect of the teacher can be reflected more really and objectively, and the objectivity and accuracy of the teaching portrait and teaching evaluation canbe greatly improved.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a teaching effect portrait method and robot system based on big data and artificial intelligence. Background technique [0002] The existing teaching effect portrait is formed by students scoring teachers at the end of the term. [0003] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: the student's evaluation of the teacher not only depends on how the teacher lectures, but also depends on the student's preference. Therefore, the existing teaching effect portraits cannot objectively evaluate the teaching effect, but are subject to the subjective influence of students, resulting in low accuracy of the teaching effect portraits. [0004] Therefore, the prior art still needs to be improved and developed. Contents of the invention [0005] Based on this, it is necessary to address t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/30G06Q10/06G06Q50/20
CPCG06Q10/06395G06Q50/205G06V40/20G06V20/42
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY
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