Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)

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Application of Generative Artificial Intelligence in Linear Algebra Teaching

Authors
Jingting Hu1, *, Guixia Sui2
1School of Mathematical Sciences, University of Jinan, Ji’nan, China
2Primary Education Department, Jinan Preschool Education College, Ji’nan, China
*Corresponding author. Email: ss_hujt@ujn.edu.cn
Corresponding Author
Jingting Hu
Available Online 31 October 2024.
DOI
10.2991/978-2-38476-297-2_16How to use a DOI?
Keywords
Generative artificial intelligence; linear algebra; teaching methods; personalized learning; intelligent assessment
Abstract

This paper explores the application of generative artificial intelligence (GAI) in teaching linear algebra. With its powerful generative capabilities and creativity, GAI brings new possibilities to educational instruction. This paper first introduces the concept of GAI and its application background in the field of education, then discusses various specific application scenarios of GAI in teaching linear algebra, including: assisting teachers in efficient text processing and teaching design, generating personalized learning resources, promoting deep inquiry through smooth human-computer dialogue, constructing interactive learning platforms, real-time evaluation of learning progress and effectiveness, dynamic updating and optimization of teaching content, playing the role of virtual teachers, and developing intelligent evaluation and feedback systems. These applications can improve teaching effectiveness and student interest, and also provide new ideas and methods for innovation in the field of education.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 October 2024
ISBN
978-2-38476-297-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-297-2_16How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jingting Hu
AU  - Guixia Sui
PY  - 2024
DA  - 2024/10/31
TI  - Application of Generative Artificial Intelligence in Linear Algebra Teaching
BT  - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)
PB  - Atlantis Press
SP  - 124
EP  - 129
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-297-2_16
DO  - 10.2991/978-2-38476-297-2_16
ID  - Hu2024
ER  -