article Open access
New advances in artificial intelligence applications in higher education?
Olaf Zawacki‐Richtera✉, John Y. H. Baia, Kyungmee Leeb, Patricia J. Slagter van Tryonc, Paul Prinslood
- aUniversity of Oldenburg, Oldenburg, Germany
- bSeoul National University, Seoul, Korea, Republic of (South Korea)
- cEast Carolina University, Greenville, NC, USA
- dUniversity of South Africa, Pretoria, South Africa
- ✉Corresponding author
International Journal of Educational Technology in Higher EducationSpringer Nature2024-05-01 106 citations2 references
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Abstract
There has been growing interest in the educational potential of Artificial Intelligence (AI) applications in higher education (HE) for the past decade. Despite the recent peak of excitement towards advanced features and techniques of AI-driven large language models (LLMs) such as OpenAI’s ChatGPT, their actual impact on HE institutions and participants has been largely unknown. Thus, many discussions in the field have involved overstated hype and untested hypotheses, whether optimistic or pessimistic, about the impact of AI in education (AIEd).

