Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors
This work tackles the problem of AI misconceptions among non-computer science students in higher education, but it is incremental as it reports on a specific course implementation without broad methodological innovations.
The paper addresses the need to educate university students from various majors about AI by presenting an introductory course that provided hands-on experience and insights into AI processes, with results including course evaluations and student performance summaries.
With the surge in data-centric AI and its increasing capabilities, AI applications have become a part of our everyday lives. However, misunderstandings regarding their capabilities, limitations, and associated advantages and disadvantages are widespread. Consequently, in the university setting, there is a crucial need to educate not only computer science majors but also students from various disciplines about AI. In this experience report, we present an overview of an introductory course that we offered to students coming from different majors. Moreover, we discuss the assignments and quizzes of the course, which provided students with a firsthand experience of AI processes and insights into their learning patterns. Additionally, we provide a summary of the course evaluation, as well as students' performance. Finally, we present insights gained from teaching this course and elaborate on our future plans.