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.

Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors / Kasinidou, Maria; Kleanthous, Styliani; Busso, Matteo; Rodas, Marcelo; Otterbacher, Jahna; Giunchiglia, Fausto. - 1:(2024), pp. 24-30. (Intervento presentato al convegno ITiCSE tenutosi a Milan, Italy nel 5th July-10th July 2024) [10.1145/3649217.3653542].

Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors

Matteo Busso;Marcelo Rodas;Fausto Giunchiglia
Ultimo
2024-01-01

Abstract

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.
2024
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
ASSOC COMPUTING MACHINERY
Kasinidou, Maria; Kleanthous, Styliani; Busso, Matteo; Rodas, Marcelo; Otterbacher, Jahna; Giunchiglia, Fausto
Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors / Kasinidou, Maria; Kleanthous, Styliani; Busso, Matteo; Rodas, Marcelo; Otterbacher, Jahna; Giunchiglia, Fausto. - 1:(2024), pp. 24-30. (Intervento presentato al convegno ITiCSE tenutosi a Milan, Italy nel 5th July-10th July 2024) [10.1145/3649217.3653542].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/437839
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