TY - GEN
T1 - The Future of Learning
T2 - 25th Annual Conference on Information Technology Education, SIGITE 2024
AU - Zhang, He
AU - Xie, Jingyi
AU - Wu, Chuhao
AU - Cai, Jie
AU - Kim, Chan Min
AU - Carroll, John M.
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/12/8
Y1 - 2024/12/8
N2 - As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews with 14 students to explore their everyday interactions with ChatGPT. Our preliminary findings reveal that students grapple with the dilemma of utilizing ChatGPT’s efficiency for learning and information seeking, while simultaneously experiencing a crisis of trust and ethical concerns regarding the outcomes and broader impacts of ChatGPT. The students perceive ChatGPT as being more “human-like” compared to traditional AI. This dilemma, characterized by mixed emotions, inconsistent behaviors, and an overall positive attitude towards ChatGPT, underscores its potential for beneficial applications in education and learning. However, we argue that despite its human-like qualities, the advanced capabilities of such intelligence might lead to adverse consequences. Therefore, it’s imperative to approach its application cautiously and strive to mitigate potential harms in future developments.
AB - As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews with 14 students to explore their everyday interactions with ChatGPT. Our preliminary findings reveal that students grapple with the dilemma of utilizing ChatGPT’s efficiency for learning and information seeking, while simultaneously experiencing a crisis of trust and ethical concerns regarding the outcomes and broader impacts of ChatGPT. The students perceive ChatGPT as being more “human-like” compared to traditional AI. This dilemma, characterized by mixed emotions, inconsistent behaviors, and an overall positive attitude towards ChatGPT, underscores its potential for beneficial applications in education and learning. However, we argue that despite its human-like qualities, the advanced capabilities of such intelligence might lead to adverse consequences. Therefore, it’s imperative to approach its application cautiously and strive to mitigate potential harms in future developments.
UR - https://www.scopus.com/pages/publications/85215997705
UR - https://www.scopus.com/pages/publications/85215997705#tab=citedBy
U2 - 10.1145/3686852.3687069
DO - 10.1145/3686852.3687069
M3 - Conference contribution
AN - SCOPUS:85215997705
T3 - Proceedings of 25th Annual Conference on Information Technology Education, SIGITE 2024
SP - 12
EP - 18
BT - Proceedings of 25th Annual Conference on Information Technology Education, SIGITE 2024
PB - Association for Computing Machinery, Inc
Y2 - 9 October 2024 through 11 October 2024
ER -