Integrating artificial intelligence into interdisciplinary technology courses to explore sophomores’ effectiveness of problem-based learning
King-Dow Su 1 *
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1 Hungkuo Delin University of Technology, New Taipei City, TAIWAN* Corresponding Author

Abstract

Artificial intelligence (AI) is integrated into the interdisciplinary technology course to explore sophomores’ effectiveness of problem-based learning (PBL). This study aims to evaluate their performance in subject learning and understand their problem-solving abilities so that teaching becomes more diverse and learning becomes more meaningful. Based on this, this study designs teaching materials for applying AI in interdisciplinary technology and PBL as a teaching method to explore their performance in integrating AI into PBL (AI-PBL). The research results show the following three points: (1) teaching material construction is conducive to the formation of conceptualization, training reasoning ability, knowledge development and accumulation of subject knowledge, (2) effective auxiliary tools can help students explore problems, demonstrate problem-solving skills and cultivate reasoning ability, and (3) students can participate in and practice this immersive activity more meaningfully, enriching their learning content and broadening learning horizons. In summary, this study found that the AI-PBL immersive teaching method has positive learning effectiveness in supporting the practical solution of AI situational problems.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

INTERDISCIP J ENV SCI ED, Volume 21, Issue 4, 2025, Article No: e2518

https://doi.org/10.29333/ijese/17055

Publication date: 01 Oct 2025

Online publication date: 16 Sep 2025

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Article Downloads: 4

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