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

Sebastian Hobert, University of Goettingen
Michael Groth, University of Goettingen
Tobias Nießner, Georg-August-University Goettingen
Lars Wilhelmi, University of Goettingen

SIG ED

Description

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 systems 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 discipline, 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 across different exam question types. With this research project, we offer start points and initial guidance on how educators can deal with the availability of AI content generators.

 
Aug 10th, 12:00 AM

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

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 systems 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 discipline, 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 across different exam question types. With this research project, we offer start points and initial guidance on how educators can deal with the availability of AI content generators.

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