@inproceedings{1f26404d1cf64c828a710c8075169798,
title = "Applying ChatGPT to Tackle the Side Effects of Personal Learning Environments in Higher Education: A Teacher and Teaching Perspective",
abstract = "This paper explores the way to apply ChatGPT to mitigate the side effects of Personal Learning Environments (PLEs) in higher education from the perspectives of teachers and teaching. An interview with six university professors and two Information and Communication Technology (ICT) experts was conducted. The thematic analysis reveals two main categories of side effects, including educational philosophy and teaching skills. The data analysis also contends that ChatGPT offers a valuable tool to aid educators in overcoming these challenges by improving the personalization of PLEs, aligning PLEs with formal education requirements, and designing innovative assessments and enhancing learning engagement in PLEs. This study provides insights beneficial to practitioners, researchers, and policymakers by elucidating the challenges and opportunities associated with integrating ChatGPT with PLEs in higher education.",
keywords = "ChatGPT, Personal Learning Environment, higher education, side effects, teacher and teaching",
author = "Xiaoshu Xu and Xibing Wang and Yunfeng Zhang and Huanhuan Zhang and Yunyang Wu",
note = "Publisher Copyright: {\textcopyright} 2023 The authors and IOS Press.; 5th International Conference on Machine Learning and Intelligent Systems, MLIS 2023 ; Conference date: 17-11-2023 Through 20-11-2023",
year = "2023",
doi = "10.3233/FAIA230769",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "73--88",
editor = "Jon-Lark Kim",
booktitle = "Machine Learning and Artificial Intelligence - Proceedings of MLIS 2023",
address = "Netherlands",
}