Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025)

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Exploration of Interdisciplinary Project-based Teaching Driven by Generative AI

Authors
Xiaoping Shi1, Bin Wang2, *
1School of Digital Construction, Shanghai Urban Construction Vocational College, Shanghai, 200438, China
2College of Public Utilities and Road and Bridge Engineering, Shanghai Communications Polytechnic, Shanghai, 200030, China
*Corresponding author. Email: 155289414@qq.com
Corresponding Author
Bin Wang
Available Online 15 June 2025.
DOI
10.2991/978-94-6463-750-2_45How to use a DOI?
Keywords
Generative AI; interdisciplinary; project learning; surveying and mapping engineering
Abstract

With the rapid development of information technology, especially the advancement of generative artificial intelligence technology, unprecedented opportunities and challenges have been brought to the field of education. Interdisciplinary knowledge integration has become a key capability requirement for addressing complex real-world problems. This article aims to explore how to use generative AI technology to promote the application of interdisciplinary project-based learning mode in surveying and mapping engineering majors in universities. By analyzing the existing problems in current surveying and mapping education and combining specific case studies, a framework for designing interdisciplinary project-based learning teaching plans based on generative AI technology is proposed, achieving a deep integration of generative AI technology and interdisciplinary teaching. This framework can not only effectively enhance students’ learning interest and practical ability, but also promote deep integration between different disciplines, and cultivate applied talents with innovative spirit and comprehensive literacy.

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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Volume Title
Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
15 June 2025
ISBN
978-94-6463-750-2
ISSN
2667-128X
DOI
10.2991/978-94-6463-750-2_45How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoping Shi
AU  - Bin Wang
PY  - 2025
DA  - 2025/06/15
TI  - Exploration of Interdisciplinary Project-based Teaching Driven by Generative AI
BT  - Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025)
PB  - Atlantis Press
SP  - 454
EP  - 465
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-750-2_45
DO  - 10.2991/978-94-6463-750-2_45
ID  - Shi2025
ER  -