Proceedings of the 4th International Conference on New Media Development and Modernized Education (NMDME 2024)

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Design of AI-Based Personalized Interdisciplinary Animated Micro-Courses

Authors
Qinheng Zhao1, *, Ping Liu2, Changna Qian3
1Qinheng Zhao Guilin University of Electronic Technology, Guilin, 044000, China
2Ping Liu University of Electronic Technology, Guilin, 044000, China
3Changna Qian University of Electronic Technology, Guilin, 044000, China
*Corresponding author. Email: zqh1984@guet.edu.cn
Corresponding Author
Qinheng Zhao
Available Online 13 December 2024.
DOI
10.2991/978-94-6463-600-0_36How to use a DOI?
Keywords
Artificial Intelligence; Animated Micro-Courses; Interdisciplinary; Personalized Learning
Abstract

In the era of information, the development and application of artificial intelligence (AI) technology in the fields of data and graphics have provided decision-making support for various educational entities. In the field of education, animated micro-courses—known for their brevity, clarity, visual appeal, and high interactivity—facilitate the integration of multiple disciplines. These courses not only reduce students' cognitive load during interdisciplinary learning but also enhance their motivation and engagement [1]. AI-powered animated micro-courses can automatically generate content, customize learning pathways, and improve learning outcomes and personalized experiences through real-time feedback. AI technology not only increases the efficiency and quality of animation production but also enhances interdisciplinary teaching effectiveness through knowledge integration and personalized support. The study concludes that AI-driven personalized animated micro-courses hold significant potential for modern education, promoting the development of personalized learning and multimodal learning theories, while also providing essential practical support and theoretical foundations for future educational innovations.

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 4th International Conference on New Media Development and Modernized Education (NMDME 2024)
Series
Advances in Intelligent Systems Research
Publication Date
13 December 2024
ISBN
978-94-6463-600-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-600-0_36How 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  - Qinheng Zhao
AU  - Ping Liu
AU  - Changna Qian
PY  - 2024
DA  - 2024/12/13
TI  - Design of AI-Based Personalized Interdisciplinary Animated Micro-Courses
BT  - Proceedings of the 4th International Conference on New Media Development and Modernized Education (NMDME 2024)
PB  - Atlantis Press
SP  - 312
EP  - 319
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-600-0_36
DO  - 10.2991/978-94-6463-600-0_36
ID  - Zhao2024
ER  -