Proceedings of the 2025 International Conference on Education Research and Training Technologies (ERTT 2025)

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Artificial Intelligence-Enhanced Project-Based Learning: A Novel Teaching Model for Inorganic and Analytical Chemistry Courses

Authors
Tianjiao Hu1, *, Ye Zhang1
1College of Science, National University of Defense Technology, Changsha, 410073, PR China
*Corresponding author. Email: tjhu@nudt.edu.cn
Corresponding Author
Tianjiao Hu
Available Online 19 November 2025.
DOI
10.2991/978-2-38476-479-2_29How to use a DOI?
Keywords
Artificial Intelligence; Project-Based Learning; Inorganic Chemistry; Analytical Chemistry
Abstract

This paper explores the application and effectiveness of artificial intelligence (AI) technology in Project-Based Learning (PBL) teaching for the course Inorganic and Analytical Chemistry. By analyzing the challenges faced in traditional teaching, such as abstract concepts, low student engagement, and insufficient personalized guidance, the study proposes a integrated approach combining AI with PBL. Using the “acid-base balance” unit as an example, the article details the practical applications of AI in curriculum design, process guidance, learning support, and teaching evaluation, including virtual simulation, adaptive learning, intelligent Q&A, and data analysis. Results demonstrate that AI significantly enhances students’ learning interest, conceptual understanding, and comprehensive abilities, while also fostering critical thinking and interdisciplinary competence. The paper also addresses challenges in AI-enabled education and suggests future directions for development.

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 International Conference on Education Research and Training Technologies (ERTT 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
19 November 2025
ISBN
978-2-38476-479-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-479-2_29How 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  - Tianjiao Hu
AU  - Ye Zhang
PY  - 2025
DA  - 2025/11/19
TI  - Artificial Intelligence-Enhanced Project-Based Learning: A Novel Teaching Model for Inorganic and Analytical Chemistry Courses
BT  - Proceedings of the 2025 International Conference on Education Research and Training Technologies (ERTT 2025)
PB  - Atlantis Press
SP  - 250
EP  - 259
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-479-2_29
DO  - 10.2991/978-2-38476-479-2_29
ID  - Hu2025
ER  -