TY - GEN
T1 - AI-Assisted Learning with ChatGPT and Large Language Models
T2 - IEEE International Conference on Advanced Learning Technologies
AU - Laato, Samuli
AU - Morschheuser, Benedikt
AU - Hamari, Juho
AU - Björne, Jari
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Bard
KW - ChatGPT
KW - generative language models
KW - GPT-4
KW - higher education
KW - large language models
KW - learning
U2 - 10.1109/ICALT58122.2023.00072
DO - 10.1109/ICALT58122.2023.00072
M3 - Conference contribution
AN - SCOPUS:85174404773
T3 - IEEE International Conference on Advanced Learning Technologies
SP - 226
EP - 230
BT - Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023
A2 - Chang, Maiga
A2 - Chen, Nian-Shing
A2 - Kuo, Rita
A2 - Rudolph, George
A2 - Sampson, Demetrios G
A2 - Tlili, Ahmed
PB - IEEE
Y2 - 10 July 2023 through 13 July 2023
ER -