Smart Tools, Smarter Students? Unpacking the AI Paradox: The Influence of AI Tool Usage on Student’s Behaviour and Skills
Main Article Content
Abstract
Background: Artificial Intelligence (AI) tools are transforming education, but their growing use raises concerns. Students may become overly reliant, hindering the development of crucial skills such as decision making, responsibility and creativity, potentially fostering laziness. It is crucial to investigate AI’s influence on student behaviour and skill development as it becomes more integrated into learning
Aims: This study aims to investigate the significance influence of artificial intelligence tools towards four dependent variables of students’ behaviour and skills (decision making, laziness, responsibilities and creative thinking)
Methods: Survey done on 140 pre-university students out of 180 students at Kolej MARA Banting using the questionnaire adapted from the Student Attitudes toward Artificial Intelligence (SATAI) scale, employing purposive sampling. SPSS MANOVA analyzed how gender, course and AI frequency usage collectively differentiate each dependent variable. Multivariate regression further examined AI’s individual influence on each dependent variable
Results: The results shown that gender, course and frequency of AI used have no significant difference. However, AI significantly influence student responsibility, laziness and decision making (p<0.05), but not creativity (p>0.05)
Conclusion: Overall, AI offers academic benefits but risks dependence and reduced effort. Its impact on creativity is minimal, underscoring its role as a supportive tool for original thought. Future studies should expand sample sizes and include diverse educational institutions for clearer, more varied results.
Article Details
Copyright (c) 2026 Uzair Wafiy bin Rizman, Ameer Iskandar bin Shamshul Adnan, Luqmaan bin Mohd Fariz, Melor binti Masdoki

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of Artificial Intelligence on Human Loss in Decision Making, Laziness and Safety in Education. Humanities and Social Sciences Communications, 10(1), 1–14. https://doi.org/10.1057/s41599-023-01787-8
Alrazaq, A., AlSaad, R., Alhuwail, D., Ahmed, A., Healy, P. M., Latifi, S., Aziz, S., Damseh, R., Alrazak, S. A., & Sheikh, J. (2023). Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions. JMIR Medical Education, 9(1), e48291. https://doi.org/10.2196/48291
Amabile, Teresa & Collins, Mary & Conti, Regina & Phillips, Elise & Picariello, Martha & Ruscio, John & Whitney, Dean. (2018). Creativity in Context: Update to The Social Psychology of Creativity. https://doi.org/10.4324/9780429501234
Ameen, K., Ali, R. A., Abbas, M., & Xiang, Y. (2023). The Impact of Artificial Intelligence on Students’ Academic Decision Making and Learning Behaviour: Evidence from Higher Education. Frontiers in Psychology, 14, 1182013. https://doi.org/10.3389/fpsyg.2023.1182013
Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of Artificial Intelligence in Higher Education: A Critical Literature Review. Higher Education, 86(2), 369-385. https://doi.org/10.1007/s10734-022-00937-2
Bell, D. E., Raiffa, H., & Tversky, A. (1988). Decision making: Descriptive, Normative, and Prescriptive Interactions. Cambridge University Press. https://doi.org/10.1017/CBO9780511598951
Bittle, K., & El-Gayar, O. (2025). Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda. Information, 16(4), 296. https://doi.org/10.3390/info16040296
Cerratto-Pargman, T., McGrath, C., & Milrad, M. (2025). Towards Responsible AI in Education: Challenges and Implications for Research and Practice. DIVA. https://www.diva-portal.org/smash/record.jsf?pid=diva2:1948612
Chan, C. (2025). Understanding AI guilt: the development, pilot-testing, and validation of an instrument for students. Education and Information Technologies. 30. 21727-21746. https://doi.org/10.1007/s10639-025-13629-y
Chan, C. K. Y., & Hu, X. (2023). AI-Assisted Learning and Student Responsibility: Opportunities and Challenges in Higher Education. Education and Information Technologies, 28, 14567–14583. https://doi.org/10.1007/s10639-023-12015-8
Chen, C., & Gong, Y. (2025). The Role of Al-Assisted Learning in Academic Writing: A Mixed-Methods Study on Chinese as a Second Language Students. Education Sciences, 15(2), 141. https://doi.org/10.3390/educsci15020141
Damnjanović, K., & Janković, I. (2014). Normative and Descriptive Theories of Decision Making Under Risk. Theoria, Beograd, 57(4), 25–50. https://doi.org/10.2298/THEO1404025D
De Angelis, L., Baglivo, F., Arzilli, G., Privitera, G. P., Ferragina, P., Tozzi, A. E., & Rizzo, C. (2023). Chatgpt and the Rise of Large Language Models: The New AI-Driven Infodemic Threat in Public Health. Frontiers in Public Health, 11, 1166120. https://doi.org/10.3389/fpubh.2023.1166120
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
Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023). From Human Writing to Artificial Intelligence Generated Text: Examining the Prospects and Potential Threats of Chatgpt in Academic Writing. Biology of sport, 40(2), 615–622. https://doi.org/10.5114/biolsport.2023.125623
Duhaylungsod, N. a. V., & Chavez, N. J. V. (2023). ChatGPT and Other AI Users: Innovative and Creative Utilitarian Value and Mindset Shift. Journal of Namibian Studies History Politics Culture, 33. https://doi.org/10.59670/jns.v33i.2791
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Dubey, R., Dutot, V., Felix, R., Janssen, M., Kim, Y., Lalicic, L., Marinakis, Y., Mogaji, E., … Wirtz, J. (2023). Reflecting on The Role of Generative Artificial Intelligence (AI) in Higher Education: Challenges, Opportunities, and Strategies. The International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Fan, L., Deng, K., & Liu, F. (2025). Educational impacts of generative artificial intelligence on learning and performance of engineering students in China. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-06930-w
Floridi, L., Cowls, J. (2021). A Unified Framework of Five Principles for AI in Society. In: Floridi, L. (eds) Ethics, Governance, and Policies in Artificial Intelligence. Philosophical Studies Series, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-030-81907-1_2
Greenfield, G. (2021). Artificial Life and Artificial Intelligence Advances in The Visual Arts. Computational synthesis and creative systems (pp. 3–26). https://doi.org/10.1007/978-3-030-59475-6_1
Grinschgl, S., & Neubauer, A. C. (2022). Supporting Cognition with Modern Technology: Distributed Cognition Today and in an AI-Enhanced Future. Frontiers in Artificial Intelligence, 5, 908261. https://doi.org/10.3389/frai.2022.908261
Gsenger, R., & Strle, T. (2021). Trust, Automation Bias and Aversion: Algorithmic Decision-Making in The Context of Credit Scoring. Interdisciplinary Description of Complex Systems: INDECS, 19(4), 540–558. https://doi.org/10.7906/indecs.19.4.4
Herman B., Marzuki, Wiwik P., Bambang P., & Ahsani M. (2025) Exploring Long-Term Impact of AI Writing Tools on Independent Writing Skills: A Case Study of Indonesian Language Education Students. https://doi.org/10.18178/ijiet.2025.15.5.2306
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
Holzner, N., Maier, S., & Feuerriegel, S. (2025). Generative AI and Creativity: A Systematic Literature Review and Meta-analysis. arXiv.https://doi.org/10.48550/arXiv.2505.17241
Ihekweazu, C., Zhou, B., Adelowo, E.A., (2024). Ethics-Driven Education: Integrating AI Responsibly for Academic Excellence. Information Systems Education Journal, 22(3), pp.36-46. https://doi.org/10.62273/JWXX9525
Ismail, A. R. (2023). Will Artificial Intelligence Lead to Genuine Stupidity? A Food for Thought. SSRN Journal. https://doi.org/10.2139/ssrn.4566781
Johnston, H. & Wells, Rebecca & Shanks, Elizabeth & Boey, Timothy & Parsons, B. (2024). Student perspectives on the use of generative artificial intelligence technologies in higher education. International Journal for Educational Integrity. 20. https://doi.org/10.1007/s40979-024-00149-4
Kadhim, Dena & Khmas, Bushra. (2025). AI-Generated Content and Academic Integrity in Higher Education: Challenges and Solutions. Journal of Teaching Innovation and Reform. 1. 37-47. https://doi.org/10.65638/2978-5634.2025.01.04
Kasneci, E., Sessler, K., Küchenhoff, H., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Peifer, N., Peters, S., Renz, A., Röhrig, R., Rudolph, J., Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kim, S., Kim, J., & Park, J. (2024). Exploring University Students’ Dependence on Artificial Intelligence Tools For Learning: Benefits and Risks. International Journal of Educational Technology in Higher Education, 21(1), 28. https://doi.org/10.1186/s41239-024-00467-0
Kim, S., Kim, J., & Park, J. (2024). Exploring University Students’ Dependence on Artificial Intelligence Tools for Learning: Benefits and Risks. International Journal of Educational Technology in Higher Education, 21, 28. https://doi.org/10.1186/s41239-024-00467-0
Lee, H., & Lee, J. (2024). Do You Have AI Dependency? The Roles of Academic Self-Efficacy, Academic Stress, and Performance Expectations on Problematic AI Usage Behavior. International Journal of Educational Technology in Higher Education, 21, Article 20. https://doi.org/10.1186/s41239-024-00467-0
Li, J., Chen, X., & Wang, Y. (2024). Understanding the Long-Term Impact of AI Use in Education: A Mixed-Methods Longitudinal Study. Computers & Education, 205, 104935. https://doi.org/10.1016/j.compedu.2024.104935
Luckin, R., Cukurova, M., Kent, C., & Du Boulay, B. (2022). Empowering Educators to Be AI-Ready. Computers and Education Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076
Marzuki, & Widiati, Utami & Rusdin, Diyenti & Darwin, & Indrawati, Inda. (2023). The Impact of AI Writing Tools on The Content and Organization Of Students’ Writing: EFL Teachers’ Perspective. Cogent Education. https://doi.org/10.10.1080/2331186X.2023.2236469
McKnight, K., O’malley, K., Ruzic, R., Horsley, M., Franey, J. J. & Bassett, K., Teaching in A Digital Age: How Educators Use Technology to Improve Student Learning. Journal Of Research on Technology in Education, 2016, 48(3), 194–211 https://doi.org/10.1080/15391523.2016.1175856
Merino-Campos, C. (2025). The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review. Trends in Higher Education, 4(2), 17. https://doi.org/10.3390/higheredu4020017
O’Brien, T., Ruan, Y., & Yang, S. (2024). Generative AI and Human Creativity: A Double-Edged Sword in Education. British Journal of Educational Technology, 55(5), 1452–1469. https://doi.org/10.1111/bjet.13312
Rahman, G., Almutairi, E. A. A., Almutairi, M., & Mudhsh, B. A. (2025). The impact of AI-powered text generation tools on the critical thinking skills of undergraduate students. Journal of University Teaching and Learning Practice, 21(6). https://doi.org/10.53761/srkt0510
Schunk, D. H. (2014). Learning Theories: An Educational Perspective (6th ed.). Upper Saddle River: Pearson Prentice Hall.
Suh, W., & Ahn, S. (2022). Development and Validation of a Scale Measuring Student Attitudes Toward Artificial Intelligence. SAGE Open, 12(2). https://doi.org/10.1177/21582440221100463
Suyatmi, S. & Wibowo, F. (2016). Research instrument testing for strategies management of information technology Private University of XYZ. 19. 4025-4032.
University of Leeds 2025. Learning With AI. A student edited collection. University of Leeds. https://doi.org/10.63560/lwai99015
Vieriu, A. M., & Petrea, G. (2025). The Impact of Artificial Intelligence (AI) on Students’ Academic Development. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343
Wang, J., & Zhao, L. (2025). Exploring Students’ Perceptions of Artificial Intelligence Tools in Higher Education: Efficiency, Accessibility, And Ethical Considerations. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343
Zhai, C., Wibowo, S. & Li, L.D. The Effects of Over-Reliance on AI Dialogue Systems on Students' Cognitive Abilities: A Systematic Review. Smart Learning Environments. https://doi.org/11. 10.1186/s40561-024-00316-7
Zhou, Y., Chen, H., & Li, X. (2024). Generative AI in Education: Students’ Perceptions, Opportunities, and Challenges. Systems, 12(10), 385. https://doi.org/10.3390/systems12100385
Uzair Wafiy bin Rizman