Publication
*Bingyi Han, Simon Coghlan, George Buchanan, Dana McKay (*work conducted prior to joining the group))
Artificial Intelligence and Academic Integrity: Navigating Ethical Challenges of AI in Educatio · 2026
@inproceedings{han2026the,
title = {The values of academic integrity in the era of monitoring AI in classrooms},
author = {*Bingyi Han and Simon Coghlan and George Buchanan and Dana McKay (*work conducted prior to joining the group))},
booktitle = {Artificial Intelligence and Academic Integrity: Navigating Ethical Challenges of AI in Educatio},
year = {2026},
doi = {10.1007/978-981-95-1875-3_8},
}
The integration of artificial intelligence in education (AIEd) into classrooms warrants critical evaluation. AI-enabled tools aim to enhance learning experiences through continuously monitoring, collecting, and analysing student in-class behaviour and performance data, providing real-time evaluation and intervention. However, even when well intentioned, this monitoring-oriented AIEd introduces complex ethical and pedagogical challenges, particularly concerning academic integrity. This chapter discusses findings from our study involving 71 university students using the story completion method, which illustrates how AI potentially influences students to modify their behaviours in ways that compromise fundamental values of academic integrity, including honesty, fairness, trust, respect, and responsibility. We expand the traditional focus on academic integrity—typically centred on assessable work and issues like cheating and plagiarism—to include student learning behaviours and processes increasingly subject to AI monitoring and evaluation. We explore the subtle yet significant behavioural consequences of adopting monitoring-oriented AIEd in the classroom, drawing on students’ perspectives, and highlighting how AIEd might challenge the pedagogical and ethical values they aim to support. We call for academics, developers, and institutions to address these implications proactively and advocate for a more comprehensive understanding of academic integrity in the AI era, ensuring that AI deployment enriches the educational experience without compromising ethical standards.