Design and Implementation of CDIO Teaching Empowered by Generative Artificial Intelligence: Taking the Course of "Post-Production Visual Effects" as an Example

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Abstract

The CDIO model emphasizes project-based learning, mainly to cultivate students' ability to integrate knowledge and apply innovative practices. It helps achieve the teaching objectives of practical courses in a particular way. Today, generative artificial intelligence (GenAI) - particularly large language models - are advancing rapidly. Now, it is particularly critical to study how to combine educational practices and GenAI in school education. This review mainly studies how to make academic strategies superior and more effective. It is recommended to use the A-CDIO educational paradigm. To put it simply, this is a student-centered CDIO framework that incorporates GenAI. The example of "particle effects"is used in teaching. The findings show that this innovative pattern works in actual teaching settings. It not only improves student learning outcomes significantly, but also improves the quality and efficiency of the entire education.

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Wang, L., Gou, P., & Teng, T. (2025). Design and Implementation of CDIO Teaching Empowered by Generative Artificial Intelligence: Taking the Course of “Post-Production Visual Effects” as an Example. In Proceedings of 2025 6th International Conference on Education, Knowledge and Information Management, ICEKIM 2025 (pp. 435–439). Association for Computing Machinery, Inc. https://doi.org/10.1145/3756580.3756652

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