OVERVIEW OF TEACHING AND MANAGEMENT MODELS FOR THE UNIVERSITY COURSE 'COMPUTER-AIDED DESIGN' IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE IN PRODUCT DESIGN EDUCATION
Abstract
The 'Computer-Aided Design' course in product design education emphasizes creative design, cultivating students' ability to use design software to showcase product effects through extensive practical exercises. In today's digital era, CAD has evolved from a mere tool to an engine driving innovative design. However, traditional CAD courses often focus on technical operations, neglecting students' creative thinking and problem-solving skills. With rapid technological advancements, AI has integrated into various fields, including design. This paper aims to explore how integrating AI into university CAD courses can enhance teaching methods, fostering students' engagement, creative thinking, and design abilities, ultimately driving course innovation and reform.
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Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8
Enjellina, Beyan, E. V. P., & Anastasya Gisela Cinintya Rossy. (2023). Review of AI Image Generator: Influences, Challenges, and Future Prospects for Architectural Field. Journal of Artificial Intelligence in Architecture, 2(1), 53–65. https://doi.org/10.24002/jarina.v2i1.6662
Escotet, M. Á. (2023). The optimistic future of Artificial Intelligence in higher education. PROSPECTS. https://doi.org/10.1007/s11125-023-09642-z
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
Lakshmi, A. J., Kumar, A., Kumar, M. S., Patel, S. I., Naik, S. K. L., & Ramesh, J. V. N. (2023). Artificial intelligence in steering the digital transformation of collaborative technical education. The Journal of High Technology Management Research, 34(2), 100467. https://doi.org/10.1016/J.HITECH.2023.100467
Lee, S., Lee, M., & Lee, S. (2022). What If Artificial Intelligence Become Completely Ambient in Our Daily Lives? Exploring Future Human-AI Interaction through High Fidelity Illustrations. Https://Doi.Org/10.1080/10447318.2022.2080155, 39(7), 1371–1389. https://doi.org/10.1080/10447318.2022.2080155
Lively, J., Hutson, J., & Melick, E. (2023). Integrating AI-Generative Tools in Web Design Education: Enhancing Student Aesthetic and Creative Copy Capabilities Using Image and Text-Based AI Generators. Journal of Artificial Intelligence and Robotics, 1(1). https://digitalcommons.lindenwood.edu/faculty-research-papers/482
Mambang, M., Cipta, S. P., Prastya, S. E., Zulfadhilah, M., Marleny, F. D., Ropikah, R., Syafi’i, M. R., Maulida, N. M., Pembriano, S. N., Risma, R., Bakri, M. Z., Kartika, K., & Putri, P. (2022). Rancang Bangun Alat Musik Tradisional Berbasis Android. Jurnal Nasional Komputasi Dan Teknologi Informasi (JNKTI), 5(2), 149–154. https://doi.org/10.32672/jnkti.v5i2.4036
Newton, A., & Dhole, K. (2023). Is AI Art Another Industrial Revolution in the Making? https://arxiv.org/abs/2301.05133v1
Southworth, J., Migliaccio, K., Glover, J., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/10.1016/j.caeai.2023.100127
Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior, 146, 107798. https://doi.org/10.1016/j.chb.2023.107798
Yu, H., & Guo, Y. (2023). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1183162
Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/J.CAEAI.2021.100025
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