Chais2025_Heb_and_Eng-web
64 E Artificial Intelligence in Education: Digital Skill or Academic Dishonesty? (Poster) 2. An online experiment designed to test whether user engagement (prompt iterations) and time invested influence psychological ownership over AI-generated content. 3. A survey exploring how AI use experience and psychological ownership impact students’ reporting of AI-assisted plagiarism and their perception of the severity of AD. Research Contributions : This research will enhance our understanding of AD related to AI- generated content and psychological ownership, while providing insights for updating digital literacy frameworks. Additionally, this work will help institutions establish ethical AI guidelines and design effective academic tasks for the GenAI era. Keywords: GenAI, Academic Dishonesty, Digital Literacy, Neutralizing Effect, Psychological Ownership. References Brimble, M. (2016). Why students cheat. An exploration of the motivators of student academic dishonesty in higher education. In T. Bretag (Ed.), Handbook of Academic Integrity (pp. 365–382). Singapore: SpringerNature. Chan, C. K. Y. (2023). Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'. arXiv preprint arXiv:2306.03358 . https://doi.org/10.48550/arXiv.2306.03358 Dehouche, N. (2021). Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3). Ethics in Science and Environmental Politics , 21, 17-23. https://doi.org/10.3354/esep00195 Hwang, H. S., Zhu, L. C., & Cui, Q. (2023). Development and validation of a digital literacy scale in the artificial intelligence era for college students. KSII Transactions on Internet and Information Systems (TIIS) , 17 (8), 2241-2258 . https://doi.org/10.3837/tiis.2023.08.016 Ives, B. (2020). Your Students Are Cheating More than You Think They Are. Why?. Educational Research: Theory and Practice , 31 (1), 46-53. Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences , 13 (4), 410 . https://doi.org/10.3390/educsci13040410 Norton, M. I., Mochon, D., & Ariely, D. (2012). The IKEA effect: When labor leads to love. Journal of Consumer Psychology , 22 (3), 453-460 . https://doi.org/10.1016/j.jcps.2011.08.002 Pavela, G. (1997). Applying the power of association on campus: A model code of academic integrity. Journal of College and University Law , V24, No. 1. https://doi.org/10.1037/1089- 2680.7.1.84 Pierce, J. L., Kostova, T., &Dirks, K. T. (2003). The state of psychological ownership: Integrating and extending a century of research. Review of general psychology, 7(1), 84-107. https://doi.org/10.1037/1089-2680.7.1.84 Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Can artificial intelligence help for scientific writing?. Critical care , 27 (1), 75 . https://doi.org/10.1186/s13054-023-04380-2 Sidi, Y., Blau, I., & Eshet-Alkalai, Y. (2019). How is the ethical dissonance index affected by technology, academic dishonesty type and individual differences? British Journal of Educational Technology, 50 (6), 3300–3314. https://doi.org/10.1111/bjet.12735 Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior & Organization , 1 (1), 39-60 . https://doi.org/10.1016/0167-2681(80)90051-7 Tiernan, P., Costello, E., Donlon, E., Parysz, M., & Scriney, M. (2023). Information and Media Literacy in the Age of AI: Options for the Future. Education Sciences , 13 (9), 906. https://doi.org/10.3390/educsci13090906
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