The Negative Impact of Artificial Intelligence (AI) on Students’ Learning Processes: An Islamic Counseling Perspective
Abstract
Background: Artificial Intelligence (AI) has transformed education by enabling students to access information and complete academic tasks more efficiently. However, excessive and uncontrolled AI use may reduce critical thinking, learning independence, academic motivation, and social interaction. Empirical evidence is therefore needed to understand these negative impacts and to formulate appropriate educational interventions.
Purpose: This quantitative study analyzed the negative influence of AI utilization on students’ learning processes and examined its implications from the perspective of Islamic Counseling.
Method: A quantitative survey involved 36 students selected through purposive sampling. Data were collected using a 20-item, four-point Likert-scale questionnaire with high reliability (Cronbach’s ? = 0.988) and analyzed using descriptive statistics (frequency, percentage, mean, and standard deviation) to examine students’ perceptions of the negative effects of AI on learning activities.
Results: Excessive AI use negatively affected several aspects of students’ learning, including increased dependence on AI for academic tasks, decreased critical thinking, reduced learning motivation and independence, declining reading habits and information verification, and limited academic interaction with teachers and peers. The convenience of AI may also reduce students’ responsibility for constructing knowledge independently.
Conclusion: This study offers practical implications for educators and school counselors in promoting responsible AI use. From the perspective of Islamic Counseling, strengthening ?idq (honesty), am?nah (responsibility), self-control, and tabayyun is essential so that AI functions as a learning support tool rather than a substitute for students’ thinking and learning processes.
Full text article
References
Al Hadi, A. R., Muslim, M., Khoirmiah, D., Warsah , I., Fathurrochman, I., & Apriani, E. (2026). Artificial Intelligence in Islamic Educational Management: An Integrative Ethical Framework for Society 5.0. Academicus: Journal of Teaching and Learning, 5(2), 240–256. https://doi.org/10.59373/academicus.v5i2.155
Alsalamah, A., & Callinan, C. (2021). Adaptation of Kirkpatrick’s four-level model of training criteria to evaluate training programmes for head teachers. Education Sciences, 11(3), 116. https://doi.org/10.3390/educsci11030116
Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., ... & Zagni, G. (2024). Factuality challenges in the era of large language models and opportunities for fact-checking. Nature Machine Intelligence, 6(8), 852-863. https://doi.org/10.1038/s42256-024-00881-z
Barrett, K. C., Leech, N. L., Gloeckner, G. W., & Morgan, G. A. (2025). IBM SPSS for introductory statistics: Use and interpretation. Routledge.
Bonfield, C. A., Salter, M., Longmuir, A., Benson, M., & Adachi, C. (2020). Transformation or evolution? Education 4.0, teaching and learning in the digital age. Higher education pedagogies, 5(1), 223-246. https://doi.org/10.1080/23752696.2020.1816847
Casteel, A., & Bridier, N. L. (2021). Describing populations and samples in doctoral student research. International journal of doctoral studies, 16(1). https://doi.org/10.28945/4766
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
Doyle, L., McCabe, C., Keogh, B., Brady, A., & McCann, M. (2020). An overview of the qualitative descriptive design within nursing research. Journal of research in nursing, 25(5), 443-455. https://doi.org/10.1177/1744987119880234
Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., ... & Gaševi?, D. (2025). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology, 56(2), 489-530. https://doi.org/10.1111/bjet.13544
Garzón, J., Patiño, E., & Marulanda, C. (2025). Systematic review of artificial intelligence in education: Trends, benefits, and challenges. Multimodal Technologies and Interaction, 9(8), 84. https://doi.org/10.3390/mti9080084
Gazzola, P., Pavione, E., Pezzetti, R., & Grechi, D. (2020). Trends in the fashion industry. The perception of sustainability and circular economy: A gender/generation quantitative approach. Sustainability, 12(7), 2809. https://doi.org/10.3390/su12072809
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
Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
Guan, L., Lee, J. C. K., Zhang, Y., & Gu, M. M. (2025). Investigating the tripartite interaction among teachers, students, and generative AI in EFL education: A mixed-methods study. Computers and Education: Artificial Intelligence, 8, 100384. https://doi.org/10.1016/j.caeai.2025.100384
Hsu, C. Y., & Wu, T. T. (2023). Application of business simulation games in flipped classrooms to facilitate student engagement and higher-order thinking skills for sustainable learning practices. Sustainability, 15(24), 16867. https://doi.org/10.3390/su152416867
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115
Jayaron, B. (2024). Educators’ academic insights on artificial intelligence: Challenges and opportunities. Electronic Journal of eLearning. https://doi.org/10.34190/ejel.21.5.3272
Lim, W. M. (2025). What is quantitative research? An overview and guidelines. Australasian Marketing Journal, 33(3), 325-348. https://doi.org/10.1177/14413582241264622
Lin, H., & Chen, Q. (2024). Artificial intelligence (AI)-integrated educational applications and college student’s creativity and academic emotions: students and teachers’ perceptions and attitudes. BMC psychology, 12(1), 487. https://doi.org/10.1186/s40359-024-01979-0
Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), 102720. https://doi.org/10.1016/j.acalib.2023.102720
Manik, W. (2025). The Development of Teacher Professional Ethics in the Digital Age from an Islamic Perspective. Al-Munawwarah: Journal of Islamic Education, 1(2), 212-223. https://doi.org/10.38073/almunawwarah.v1i2.3877
Rahman, I., Iskandar, M. Y., Kustati, M., & Sepriyanti, N. (2024). Sustainable Development: Implementation of The Talqin Method in Memorizing The Quran. Jurnal Kepemimpinan dan Pengurusan Sekolah, 9(1), 99-108. https://doi.org/10.34125/jkps.v9i1.355
Rahman, I., Kaema, M. T., Nurhapipah, N., Nelwati, S., Sabri, A., & Rahmanda, R. (2024). Systematic Literature Review: Analysis of Project-based Learning Models from Elementary to High School. Al-Ashri: Ilmu-Ilmu Keislaman, 9(2), 53-66. https://ojs.stai-bls.ac.id/index.php/Al-Ashri/article/view/119
Rizvi, I., Bose, C., & Tripathi, N. (2025). Transforming education: adaptive learning, AI, and online platforms for personalization. In Technology for societal transformation: Exploring the intersection of information technology and societal development (pp. 45-62). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-96-1721-0_4
Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2024). Artificial intelligence-enabled intelligent assistant for personalized and adaptive learning in higher education. Information, 15(10), 596. https://doi.org/10.3390/info15100596
Sallis, J. E., Gripsrud, G., Olsson, U. H., & Silkoset, R. (2021). Simple Analysis Techniques. In Research Methods and Data Analysis for Business Decisions: A Primer Using SPSS (pp. 111-146). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-84421-9_8
Sison, A. J. G., Daza, M. T., Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2024). ChatGPT: More than a “weapon of mass deception” ethical challenges and responses from the human-centered artificial intelligence (HCAI) perspective. International Journal of Human–Computer Interaction, 40(17), 4853-4872. https://doi.org/10.1080/10447318.2023.2225931
Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the Power of AI to Education. In Learning, teaching, and assessment methods for contemporary learners: pedagogy for the digital generation (pp. 311-342). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6734-4_13
Suryanarayana, K. S., Kandi, V. P., Pavani, G., Rao, A. S., Rout, S., & Krishna, T. S. R. (2024). Artificial intelligence enhanced digital learning for the sustainability of education management system. The Journal of High Technology Management Research, 35(2), 100495. https://doi.org/10.1016/j.hitech.2024.100495
Teplá, M., & Distler, P. (2025). The impact of long-term inquiry-based science education on student’s motivation and knowledge acquisition: the role of gender, subject, and level of inquiry. Humanities and Social Sciences Communications, 12(1), 1-12. https://doi.org/10.1057/s41599-025-04437-3
Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on student’s academic development. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343
Wang, C., Chen, X., Yu, T., Liu, Y., & Jing, Y. (2024). Education reform and change driven by digital technology: A bibliometric study from a global perspective. Humanities and Social Sciences Communications, 11(1), 1-17. https://doi.org/10.1057/s41599-024-02717-y
Yavich, R. (2025). Will the use of AI undermine students independent thinking?. Education Sciences, 15(6), 669. https://doi.org/10.3390/educsci15060669
Yilmaz, R., & Yilmaz, F. G. K. (2023). Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning. Computers in Human Behavior: Artificial Humans, 1(2), 100005. https://doi.org/10.1016/j.chbah.2023.100005
Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (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(1), 34. https://doi.org/10.1186/s41239-024-00467-0
Authors
Copyright (c) 2026 Mona Yulia Zulfa, Micha Felayati Silalahi, Vinda Chairunnisa, Ikhwan Rahman, Amelia Paramida, Azara Adinda Salsalbila Putri, Basri Juliadin

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.