Exploring AI-Interactive Teaching Models in the Context of Art-Science Integration: A Case Study on the “Design Thinking” Course

DOI

10.2991/978-94-6463-502-7_70How to use a DOI?

Keywords

Art-Science Integration; Artificial Intelligence; AIGC Technology; Multifaceted Communication Platforms; Interactive Teaching

Abstract

The convergence of art and technology catalyzes innovation in design education. This study aims to empower design students to intertwine innovative thinking with intelligent technologies, thereby enhancing their capabilities in systemic design and diversified problem-solving. It examines the roles and significance of generative artificial intelligence within educational settings and proposes a human-computer interactive teaching model. Through interdisciplinary dialogues, interactive learning, and integrating technological skills, the model encourages students to transcend traditional academic boundaries and foster creative thinking. Utilizing cutting-edge AIGC technology, it facilitates exploration, innovation, and production. Furthermore, the model’s emphasis on interdisciplinary collaboration and evaluation promotes knowledge exchange and personal growth, enabling students to critically reflect on their design journey and outcomes. Addressing the needs of design education in an art-science integration backdrop, the course leverages artificial intelligence to establish an interactive teaching paradigm, providing valuable insights and guidelines for developing similar curricula.

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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TY  - CONF
AU  - Shaowen Han
AU  - Yuan Tian
PY  - 2024
DA  - 2024/08/31
TI  - Exploring AI-Interactive Teaching Models in the Context of Art-Science Integration: A Case Study on the “Design Thinking” Course
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 664
EP  - 673
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_70
DO  - 10.2991/978-94-6463-502-7_70
ID  - Han2024
ER  -