Development of Introductory Generative AI course for University Students: Assessment of learning achievement and acceptance of GenAI

Authors

  • Mohammed Galib Hasan Abir Graduate School of Science, Hokkaido University, Japan; Mayumi Sugiura; [email protected]; Center for Open Education, Hokkaido University, Japan; Katsusuke Shigeta; [email protected]; Information Initiative Center, Hokkaido University, Japan Author

Abstract

The rapid adoption of Generative Artificial Intelligence (GenAI) in higher education has raised significant ethical, copyright, and data privacy concerns. Responding to calls for responsible AI education, this study evaluates an introductory GenAI online course that integrates literacy with AI basics, copyright, critical thinking, ethics and privacy. Using a pre–post survey design, the study examines learning achievement, changes in student acceptance of GenAI, and the effect of prior GenAI experience. Results indicate significant improvements in learning outcomes and acceptance, alongside increased awareness of ethical risks and privacy responsibilities across diverse learners. These findings support embedding ethics and privacy-bydesign principles in GenAI curricula to foster responsible use and effective utilization.

Downloads

Download data is not yet available.

Downloads

Published

2026-06-25

Conference Proceedings Volume

Section

Conference Proceedings Submissions