T/SAIAS 0013.5-2023 Active Group standards

T/SAIAS 0013.5-2023 Education Generic Artificial Intelligence Large Model Part 5: Teaching Application Requirements

T/SAIAS 0013.5-2023 Education Generic Artificial Intelligence Large Model Part 5: Teaching Application Requirements

Publish Date: 2023-07-08 Implement Date: 2023-08-08 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/SAIAS 0013.5-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Comprehensive Application of Information Technology
Publish Date: 2023-07-08
Implement Date: 2023-08-08
Pages: 6 pages

Scope

Scope: This document stipulates the basic principles and requirements for the application of general artificial intelligence (AI) large models in education in teaching and learning activities. This document applies to the teaching applications and governance of general AI large model platforms and tools in education. Main technical content: 1. The application of general AI large models and their corresponding tools in teaching and learning activities should follow eight basic principles, represented by "teachers and students should recognize that the popularity of AI tools is a result of technological progress, and current learners, as future knowledge workers, should have the basic literacy to use AI tools to improve work efficiency and effectiveness". 2. Requirements for the application of general AI large models in teaching activities, including teachers incorporating AI tools into teaching while upholding academic integrity and ensuring teaching quality, and clearly stating in teaching syllabi and/or homework guidance whether AI tools can be used in homework/evaluation and other score-recording activities. If teachers allow their use, they should define the correct ways and scope of using AI tools. 3. Requirements for the application of general AI large models in learning activities, including students being able to anticipate the demand for AI in future work scenarios, striving to improve their own AI literacy, and the ability to work collaboratively with AI tools.

Development Information

Pages: 6 pages

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