TY - GEN
T1 - ”Navigating the C̈ ookedD̈ ata
T2 - 10th International Conference on e-Society, e-Learning and e-Technologies, ICSLT 2024
AU - Mei-Seung, Cheng
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/12/3
Y1 - 2024/12/3
N2 - This article explores the integration of Generative AI (GenAI) technologies, such as ChatGPT, Bard, and LaMDA, in academic writing classrooms, examining both their potential to transform learning and the challenges they present. Building on Activity Theory, the study assesses the transformation of students’ roles, the writing assistant tool, and the rules and division of labor within the academic community after technology integration. We argue that GenAI, while offering powerful potential for personalized feedback and learning, disrupts traditional educational dynamics. This raises critical questions about student roles, data integrity, and the evolving responsibilities of teachers. We propose eleven research questions to guide future investigations. These questions emphasize the need for a nuanced understanding of how GenAI impacts the learning experience and its implications for academic integrity. We also highlight the ethical considerations surrounding its use. This work aims to contribute to the ongoing conversation surrounding AI in education, promoting a more comprehensive understanding of the opportunities and challenges presented by this transformative technology.
AB - This article explores the integration of Generative AI (GenAI) technologies, such as ChatGPT, Bard, and LaMDA, in academic writing classrooms, examining both their potential to transform learning and the challenges they present. Building on Activity Theory, the study assesses the transformation of students’ roles, the writing assistant tool, and the rules and division of labor within the academic community after technology integration. We argue that GenAI, while offering powerful potential for personalized feedback and learning, disrupts traditional educational dynamics. This raises critical questions about student roles, data integrity, and the evolving responsibilities of teachers. We propose eleven research questions to guide future investigations. These questions emphasize the need for a nuanced understanding of how GenAI impacts the learning experience and its implications for academic integrity. We also highlight the ethical considerations surrounding its use. This work aims to contribute to the ongoing conversation surrounding AI in education, promoting a more comprehensive understanding of the opportunities and challenges presented by this transformative technology.
KW - Academic Integrity
KW - Activity Theory
KW - Generative AI in education
KW - Technology in higher education
UR - https://www.scopus.com/pages/publications/85215511967
U2 - 10.1145/3678610.3678630
DO - 10.1145/3678610.3678630
M3 - Conference contribution
AN - SCOPUS:85215511967
T3 - ACM International Conference Proceeding Series
SP - 76
EP - 81
BT - ICSLT 2024 - 2024 10th International Conference on e-Society, e-Learning and e-Technologies
PB - Association for Computing Machinery
Y2 - 21 June 2024 through 23 June 2024
ER -