The effect of artificial intelligence (AI) intensity on students satisfaction in completing college assignments
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Abstract
The rapid development of AI is influenced by the intensity of its use and the benefits felt by its users. The widespread use of AI without a foundation in literacy and the buying and selling of AI prompts have weakened critical thinking skills. This phenomenon has sparked interest in researching the intensity of AI use among college students. This study aims to analyze the effect of AI usage intensity on college student satisfaction in completing college assignments. This quantitative research uses an explanatory associative research method with simple linear regression analysis to test the independent variable (AI usage intensity) and the dependent variable (usage satisfaction). Data collection was conducted via an online questionnaire On Google Forms for master's students in the Islamic Education Management study program in Tulungagung Regency, with a total of 60 respondents. The results showed a linear relationship between the intensity of AI use and college student satisfaction with completing college assignments. The findings indicated that a one-unit increase in AI use intensity would increase student satisfaction by 0.466 units. The effect of AI usage intensity, as measured by the coefficient of determination, is 26.9% on student satisfaction with completing course assignments. This study concludes that the intensity of AI usage among college students must be regulated immediately so that satisfaction in completing course assignments is accompanied by academic competence and ethics.
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References
Chan, C. K. Y. (2023). A Comprehensive AI Policy Education Framework for University Teaching and Learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3
Chan, C. K. Y., & Hu, W. (2023). Students’ Voices on generative AI: Perceptions, Benefits, and Challenges in Higher Education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Davis, Fred D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Delone, William H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE Publications.
Fitri, A. Z., & Haryanti, N. (2020). Metodologi Penelitian Pendidikan: Kuantitatif, Kualitatif, Mixed Method, dan Research and Development. Malang: Madani Media.
Floridi, L., & Cowls, J. (2021). A Unified Framework of Five Principles for AI in Society. Springer International Publishing AG, 144, 5–17. https://doi.org/10.1007/978-3-030-81907-1_2
Gerlich, M. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006
Hibatulwafi, F., & Laksmi, L. (2024). Fenomena Penggunaan Generative AI dalam Perilaku Pencarian Informasi Praktisi Teknologi. Media Pustakawan, 31(2), 141–155. https://doi.org/10.37014/medpus.v31i2.5222
Jihan Alifa Firdaus, Rakhma Imamatul Ummah, Rahma Rizky Aprialini, Ainul Fithriyyah, Mahsusi, & Afif Faizin. (2025). Ketergantungan Penggunaan Kecerdasan Buatan (AI) pada Tugas Akademik Mahasiswa Terhadap Kemampuan Berpikir Kritis dan Kreatif. Didaktika: Jurnal Kependidikan, 14(1), 1203–1211.
Lijie, H., Mat Yusoff, S., & Mohamad Marzaini, A. F. (2025). Influence of AI-Driven Educational Tools on Critical Thinking Dispositions Among University Students in Malaysia: a Study of Key Factors and Correlations. Education and Information Technologies, 30(6), 8029–8053. https://doi.org/10.1007/s10639-024-13150-8
Lukman, L., Riska Agustina, & Rihadatul Aisy. (2023). Problematika Penggunaan Artificial Intelligence (AI) untuk Pembelajaran di Kalangan Mahasiswa STIT Pemalang. Madaniyah, 13(2), 242–255. https://doi.org/10.58410/madaniyah.v13i2.826
Meiriza, M. S., Sembiring, G. B., Sitorus, M., Wardana, V., & Sakinah, N. (2024). Pengaruh Penggunaan AI Terhadap Minat Belajar di Kalangan Mahasiswa: Studi Kasus pada Generasi Z. AR-RUMMAN: Journal of Education and Learning Evaluation, 1(2), 319–327. https://doi.org/10.57235/arrumman.v1i2.4019
Miao, F., & Holmes, W. (2024). Guidance for Generative AI in Education and Research. Paris: UNESCO Publishing. https://doi.org/10.54675/EWZM9535
Nisma, & Indira Lisanty, F. (2025). Hubungan Intensitas Penggunaan Aplikasi AI dengan Efektivitas Belajar Pada Mahasiswa Kebidanan. ILLEA: Journal of Health Sciences, Public Health, and Medicine, 1(2), 95–99.
Pallant, J. (2020). SPSS Survival Manual (7th ed.). McGraw-Hill Education.
Rodway, P., & Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence, 5, 100150. https://doi.org/10.1016/j.caeai.2023.100150
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (cetakan 25). Bandung: Alfabeta.
Tasya, C. H., Sangka, K. B., & Octoria, D. (2025). Pengaruh Pemanfaatan Artificial Intelligence (AI) Terhadap Motivasi Belajar Mahasiswa dengan Literasi Digital Sebagai Variabel Moderating. Jurnal Pendidikan Ekonomi (JUPE), 13(2), 153–165. https://doi.org/10.26740/jupe.v13n2.p153-165
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where Are the Educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0