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How Today’s AI Content Generators Outperform Average Novice Students in Information Systems Exams.

Authors :
Hobert, Sebastian
Groth, Michael
Nießner, Tobias
Wilhelmi, Lars
Source :
Proceedings of the Americas Conference on Information Systems (AMCIS); 2023, p1-5, 5p
Publication Year :
2023

Abstract

The public availability of sophisticated AI content generators based on large -scale language models achieved enormous media attention in recent months. AI content generators are expected to have a major impact on future information sy stems developments as well as private and business life. Particularly in the field of education, the question arises as to how these innovations in AI technology will impact teaching, learning, and examination. With a specific focus on examinations in the information systems di scipline, we show in this research-in-progress paper, based on an experimental field study, how a today’s AI content generator performs in solving a fundamental information systems exam. Based on our preliminary results, we found that the quality varies ac ross different exam question ty pes. With this research project, we offer start points and initial guidance on how educators can deal with the availability of AI content generators. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Database :
Complementary Index
Journal :
Proceedings of the Americas Conference on Information Systems (AMCIS)
Publication Type :
Conference
Accession number :
172885734