Generative AI, Educational Advancement and Instructional Design Innovation

DOI

10.2991/978-2-38476-509-6_97How to use a DOI?

Keywords

AI; educational innovation; economics major

Abstract

This paper studies the impact of generative artificial intelligence on educational innovation, and studies the instructional design innovation of 13 full-time teachers of economics major in a university. Generative AI assisted teachers to form new teaching cases increased by 87%, updated teaching content by 58%, and updated practical teaching by 32%. These teaching cas-es are more in line with the current economic and social development reality, more problem-oriented, and stimulate students’ innovative thinking. In-depth research shows that the influ-ence of generative AI on instructional design innovation is different in distribution: general teachers have a significant improvement in instructional design innovation, but a significant decline in marginal innovation; on the other hand, the innovation of master teachers has im-proved significantly, and the marginal innovation remains stable. Generative AI automatically completed 63% of the “idea generation” work, allowing full-time teachers to focus on the con-ditional model of instructional design and the decision making of innovative materials. To-gether, these findings demonstrate the potential of AI to enhance innovation in teaching and learning and highlight the complementarity between deep learning algorithms and expertise in the innovation process.

Copyright

© 2025 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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TY  - CONF
AU  - Jing Lv
PY  - 2025
DA  - 2025/12/15
TI  - Generative AI, Educational Advancement and Instructional Design Innovation
BT  - Proceedings of the 2025 International Conference on Mental Growth and Human Resilience (MGHR 2025)
PB  - Atlantis Press
SP  - 879
EP  - 884
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-509-6_97
DO  - 10.2991/978-2-38476-509-6_97
ID  - Lv2025
ER  -