AI-assisted learning with ChatGPT and large language models: Implications for higher education
Laato S, Morschheuser B, Hamari J, Björne J (2023)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2023
Event location: Orem
DOI: 10.1109/ICALT58122.2023.00072
Abstract
The recent progress in generative AI models, particularly large language models (LLMs), has brought about a transformation in the field of education. Conversational LLM services, such as Google’s Bard and OpenAI’s ChatGPT, offer students access to many abilities such as summarization and generation of text and code, and on-demand replies to questions on expert topics. In this paper, we observe ChatGPT to explore how LLM services impact learning and instruction in higher education. First, we mapped the capabilities of the system by reviewing the grey literature on ChatGPT and using the system ourselves for two months. Second, we selected a Bachelor level computer science curriculum from a Finnish university, and examined the impact of ChatGPT on the offered courses. As an outcome of this study, we highlight 13 implications for students’ learning in higher education, and discuss the contemporary future of AI-assisted learning in universities and beyond.
Authors with CRIS profile
Benedikt Morschheuser
Assistant Professorship of Information Systems (Gamification) - endowed by adidas
Involved external institutions
Finland (FI)How to cite
APA:
Laato, S., Morschheuser, B., Hamari, J., & Björne, J. (2023). AI-assisted learning with ChatGPT and large language models: Implications for higher education. In Proceedings of the The 23rd IEEE International Conference on Advanced Learning Technologies (ICALT 2023). Orem, US.
MLA:
Laato, Samuli, et al. "AI-assisted learning with ChatGPT and large language models: Implications for higher education." Proceedings of the The 23rd IEEE International Conference on Advanced Learning Technologies (ICALT 2023), Orem 2023.
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