Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Rapid advancements in artificial intelligence (AI) are making fast multi-industry transformational changes. To accommodate the change, educators need to equip students with the knowledge and skills for ethical, and efficient use of AI to ensure they stay competitive on a global scale. Therefore, the educational approach needs to shift from restricting students’ use of AI to empowering them with proper guidance and supervision. The study includes a quantitative survey among 93 engineering students from 4 Finnish higher education institutions to investigate students' cognitive gaps and learning interests in generative artificial intelligence based on the AI education directions widely discussed by education scholars. Then, a course framework dedicated to teaching the effective and ethical use of generative AI was designed using the modular approach. The course framework developed in this paper is flexible, allowing students to participate in learning.
Recommended Citation
Fan, Jing; Du, Yuxin; Siemon, Dominik; and Happonen, Ari, "Designing a Modular University-Based Online Course Framework for Ethical and Efficient Utilization of Generative Artificial Intelligence" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 10.
https://aisel.aisnet.org/hicss-58/cl/teaching_and_learning_technologies/10
Designing a Modular University-Based Online Course Framework for Ethical and Efficient Utilization of Generative Artificial Intelligence
Hilton Waikoloa Village, Hawaii
Rapid advancements in artificial intelligence (AI) are making fast multi-industry transformational changes. To accommodate the change, educators need to equip students with the knowledge and skills for ethical, and efficient use of AI to ensure they stay competitive on a global scale. Therefore, the educational approach needs to shift from restricting students’ use of AI to empowering them with proper guidance and supervision. The study includes a quantitative survey among 93 engineering students from 4 Finnish higher education institutions to investigate students' cognitive gaps and learning interests in generative artificial intelligence based on the AI education directions widely discussed by education scholars. Then, a course framework dedicated to teaching the effective and ethical use of generative AI was designed using the modular approach. The course framework developed in this paper is flexible, allowing students to participate in learning.
https://aisel.aisnet.org/hicss-58/cl/teaching_and_learning_technologies/10