Impact of AI Use on Students' Learning Competencies and Mental Health at Higher Education Institutions

Authors

DOI:

https://doi.org/10.46328/ijemst.5375

Keywords:

Artificial Intelligence,, Learning Competencies, Mental Health, Higher Education, Academic Integrity

Abstract

The utilization of artificial intelligence (AI) in higher education institutions is inevitably on the rise. While it offers numerous advantages, particularly in academia, it adversely affects users' mental health and learning capabilities by hindering the development of creative skills. The current study examined the relationship between AI usage and mental health as well as learning competencies through a correlational design employing a deductive approach. To provide greater demographic representation, stratified and random sampling techniques were employed to engage participants. Survey data were collected from 175 undergraduate students utilizing a five-point Likert scale instrument. The results indicate an enhancement in students' cognitive abilities and self-directed learning, with a somewhat positive and statistically significant association between AI usage and its direct impact on students' psychological well-being. To maintain academic integrity, it is essential to emphasize the requisite institutional standards about AI usage. This study, confined to the higher education sector, has implications for other settings.

References

Abbas, Z. (2023). AI making students lazy, impairing cognition: Study. DAWN.COM. https://www.dawn.com/news/1759121

Abulibdeh, A., Baya Chatti, C., Alkhereibi, A., & El Menshawy, S. (2025). A Scoping Review of the Strategic Integration of Artificial Intelligence in Higher Education: Transforming University Excellence Themes and Strategic Planning in the Digital Era. European Journal of Education, 60(1), e12908. https://doi.org/10.1111/ejed.12908

Ahn, Y.-H.; Oh, E.-Y. Effects of the International Training Program for Enhancing Intelligent Capabilities through Blended Learning on Computational Thinking, Artificial Intelligence Competencies, and Core Competencies for the Future Society in Graduate Students. Appl. Sci. 2024, 14, 991. https://doi.org/10.3390/app14030991

Akbar Adityatama & Faizah. (2024). The Impact of Inclusive Sports Learning on Improving Motor Skills of Students with Special Needs. Journal of Salutare, 1(1), 11. https://doi.org/10.62872/qfpdrr67

Almusawy, A. M. R. (2025). Exploring The Role of Effective Use of AI In Improving Strategic Performance Under the Digital Transformation of Higher Education Institutions. Journal of Ecohumanism, 4(4). https://doi.org/10.62754/joe.v4i4.6737

Alturki, S., Cohausz, L., & Stuckenschmidt, H. (2022). Predicting Master’s students’ academic performance: An empirical study in Germany. Smart Learning Environments, 9(1), 38. https://doi.org/10.1186/s40561-022-00220-y

Amin, M. R. M., Ismail, I., & Sivakumaran, V. M. (2025). Revolutionizing education with artificial intelligence (AI)? Challenges, and implications for open and distance learning (ODL). Social Sciences & Humanities Open, 11, 101308. https://doi.org/10.1016/j.ssaho.2025.101308

Asio, J. M. R. (2024). AI literacy, self-efficacy, and self-competence among college students: variances and interrelationships among variables. MOJES: Malaysian Online Journal of Educational Sciences, 12(3), 44-60. https://doi.org/10.22452/aldad.vol12no3.4

Bari, F. (2024). AI in education—Newspaper—DAWN.COM. https://www.dawn.com/news/1807043

Bari, F. (2024). Non-Fiction: Can AI Change Education? DAWN.COM. https://www.dawn.com/news/1851566

Boahene, K. O., Fang, J., & Sampong, F. (2019). Social Media Usage and Tertiary Students’ Academic Performance: Examining the Influences of Academic Self-Efficacy and Innovation Characteristics. Sustainability, 11(8), 2431. https://doi.org/10.3390/su11082431

Bryman, A. (2016). Social research methods. Oxford university press.

Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25, 3443-3463. https://doi.org/10.1007/s10639-020-10159-7

Chee, H., Ahn, S., & Lee, J. (2024). A Competency Framework for AI Literacy: Variations by Different Learner Groups and an Implied Learning Pathway. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13556

Chiu, T. K., & Sanusi, I. T. (2024). Define, foster, and assess student and teacher AI literacy and competency for all: Current status and future research direction. Computers and Education Open, 100182. https://doi.org/10.1016/j.caeo.2024.100182

Chiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.

Crompton, H., Burke, D. Artificial intelligence in higher education: the state of the field. Int J Educ Technol High Educ 20, 22 (2023). https://doi.org/10.1186/s41239-023-00392-8

Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140.

Duan, Y. (2024). The Influence of Sports on College Students’ Learning Adaptability. Journal of Education, Humanities and Social Sciences, 26, 832–837. https://doi.org/10.54097/4ct6n844

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International journal of information management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in education and teaching international, 61(3), 460-474. https://doi.org/10.1080/14703297.2023.2195846

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of information technology case and application research, 25(3), 277-304. https://doi.org/10.1080/15228053.2023.2233814

Galdames, I. S. (2024). Integration of artificial intelligence in higher education: Relevance for inclusion and learning. SciComm Report, 4(1), 1-12. https://doi.org/10.32457/scr.v4i1.2487

Geerling, W., Mateer, G. D., Wooten, J., & Damodaran, N. (2023). ChatGPT has Aced the Test of Understanding in College Economics: Now What? The American Economist, 68(2), 233-245. https://doi.org/10.1177/05694345231169654

Giray, L. (2024). Cases of Using ChatGPT as a Mental Health and Psychological Support Tool. Journal of Consumer Health on the Internet, 29(1), 29–48. https://doi.org/10.1080/15398285.2024.2442374

Haer, R., & Becher, I. (2012). A methodological note on quantitative field research in conflict zones: get your hands dirty. International Journal of Social Research Methodology, 15(1), 1-13. https://doi.org/10.1080/13645579.2011.597654

He, J. (2024). The Application of Deep Learning in Sports Data Analysis. Scalable Computing: Practice and Experience, 25(6). https://doi.org/10.12694/scpe.v25i6.3309

Hmelo, C. E. (2004). Problem-Based Learning: What and How Do Students Learn? Educational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3

Huang, X. (2021). Aims for cultivating students’ key competencies based on artificial intelligence education in China. Education and Information Technologies.

Katsamakas, E.; Pavlov, O.V.; Saklad, R. Artificial Intelligence and the Transformation of Higher Education Institutions: A Systems Approach. Sustainability 2024, 16, 6118. https://doi.org/10.3390/su16146118

Kehlenbach, E. S. (2024). The Impact of Infrastructure: Considerations of Generative AI in the Classroom. Journal of Political Science Education, 21(2), 1–10. https://doi.org/10.1080/15512169.2024.2359439

Kim, J.J.H., Soh, J., Kadkol, S. et al. AI Anxiety: a comprehensive analysis of psychological factors and interventions. AI Ethics (2025). https://doi.org/10.1007/s43681-025-00686-9

Klasnja-Milicevic, A., & Ivanovic, M. (2021). E-learning personalization systems and sustainable education. Sustainability, 13(12), 6713. https://doi.org/10.3390/su13126713

Kooli, C. (2023). Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions. Sustainability, 15(7), 5614. https://doi.org/10.3390/su15075614

Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308

Kuhail, M. A., Thomas, J., Alramlawi, S., Shah, S. J. H., & Thornquist, E. (2022). Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior. Informatics, 9(4), 81. https://doi.org/10.3390/informatics9040081

Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101

Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The international journal of management education, 21(2), 100790. https://doi.org/10.1016/j.ijme.2023.100790

López Carrillo, M. D., Calonge García, A., & Lebrón Moreno, J. A. (2024). Self-Regulation of Student Learning in a STEAM Project. Education Sciences, 14(6), 579.

Machado, H., Silva, S. & Neiva, L. Publics’ views on ethical challenges of artificial intelligence: a scoping review. AI Ethics 5, 139–167 (2025). https://doi.org/10.1007/s43681-023-00387-1

Mariam, G., Adil, L., & Zakaria, B. (2024). The integration of artificial intelligence (ai) into education systems and its impact on the governance of higher education institutions. International Journal of Professional Business Review: Int. J. Prof. Bus. Rev., 9(12), 13. https://doi.org/10.26668/businessreview/2024.v9i12.5176

Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856. https://doi.org/10.3390/educsci13090856

Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE access, 10, 81323-81342. DOI: 10.1109/ACCESS.2022.3193938

Namjoo, F., Modabernejad, Z., Morshedi, H., Liaghat, E., & Shabaziasl, S. (2023). Students Experience on Self-Study through AI. AI and Tech in Behavioral and Social Sciences, 1(3), 35–42. https://doi.org/10.61838/kman.aitech.1.3.6

Nasaj, M., Badi, S., Murtagh, N. and Ding, L. (2025), "Collective AI anxiety and team innovative behaviour: the role of coping strategies", Construction Innovation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CI-08-2024-0222

Nguyen, T. N. T., Lai, N. V., & Nguyen, Q. T. (2024). Artificial Intelligence (AI) in Education: A Case Study on ChatGPT’s Influence on Student Learning Behaviors. Educational Process: International Journal, 13(2), 105-121. https://doi.org/10.22521/edupij.2024.132.7

Nichols, A. J., & Levy, Y. (2009). Empirical assessment of college student-athletes’ persistence in e-learning courses: A case study of a U.S. National Association of Intercollegiate Athletics (NAIA) institution. The Internet and Higher Education, 12(1), 14–25. https://doi.org/10.1016/j.iheduc.2008.10.003

Opotamutale, D. O., & Albanus, F. S. (2023). Risk Factors of Mental Health of Students in Higher Education Institutions (pp. 66–84). igi global. https://doi.org/10.4018/979-8 -3693-2833-0.ch005

Pardeshi, S. M., & Jain, D. C. (2024). AI in Mental Health Federated Learning and Privacy (pp. 274–287). igi global. https://doi.org/10.4018/979-8-3693-1874-4.ch017

Pentang, J. T. (2023). Quantitative Research Instrumentation for Educators

Ponsford, L. R. (2016). Assessing mental health and violence on college campuses using the vulnerability model. Journal of the American Association of Nurse Practitioners, 28(4), 212-217.

Rabia Tabassum, Mahvish Fatima Kashif and Muhammad Jamil (2024) “Impact Of Mental Health & Well-Being On Academic Performance Of University Students”, Journal Of Social Research Development, 5(3), pp. 37–48. doi: 10.53664/JSRD/05-03-2024-04-37-48.

Rahman, M. (2023). Sample Size Determination For Survey Research And Non-Probability Sampling Techniques: A Review And Set Of Recommendations

Samadi, M., Jaquay, S., Gu, J., & Nixon, N. (2024). The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settings. https://doi.org/10.48550/arxiv.2405.10460

Sanusi, I. T., Olaleye, S. A., Agbo, F. J., & Chiu, T. K. (2022). The role of learners’ competencies in artificial intelligence education. Computers and Education: Artificial Intelligence, 3, 100098. https://doi.org/10.1016/j.caeai.2022.100098

Sanusi, I. T., Olaleye, S. A., Agbo, F. J., & Chiu, T. K. F. (2022). The role of learners’ competencies in artificial intelligence education. Computers and Education: Artificial Intelligence, 3, 100098. https://doi.org/10.1016/j.caeai.2022.100098

Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning. Heliyon, 10(8), e29523. https://doi.org/10.1016/j.heliyon.2024.e29523

Shwedeh, F., Nour, M. A., & Akour, I. (2024). Optimizing augmented reality adoption in higher education: A comprehensive analysis of factors impacting data management efficiency. Journal of Infrastructure, Policy and Development, 8(9), 6232.

Sweller, J. (2011). Cognitive load theory. In Psychology of learning and motivation (Vol. 55, pp. 37-76). Academic Press. https://doi.org/10.1016/B978-0-12-387691-1.00002-8

Amjad, A. I., Aslam, S., & Tabassum, U. (2024). Tech‐infused classrooms: A comprehensive study on the interplay of mobile learning, ChatGPT and social media in academic attainment. European Journal of Education, 59(2), e12625.

Tlili, A., Shehata, B., Adarkwah, M.A. et al. What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learn. Environ. 10, 15 (2023). https://doi.org/10.1186/s40561-023-00237-x

Upreti, I. (2025). Promoting Positive Mental Health, Resilience, and Well-being in Higher Education Institutions of India. International Journal For Multidisciplinary Research, 7(2). https://doi.org/10.36948/ijfmr.2025.v07i02.41622

Vargas-Murillo, A. R., de la Asuncion, I. N. M., & de Jesús Guevara-Soto, F. (2023). Challenges and opportunities of AI-assisted learning: A systematic literature review on the impact of ChatGPT usage in higher education. International Journal of Learning, Teaching and Educational Research, 22(7), 122-135. https://doi.org/10.26803/ijlter.22.7.7

Wang, Y.-M., Wei, C.-L., Lin, H.-H., Wang, S.-C., & Wang, Y.-S. (2022). What drives students’ AI learning behavior: a perspective of AI anxiety. Interactive Learning Environments, 32(6), 1–17. https://doi.org/10.1080/10494820.2022.2153147

World Health Organization. (2022). World Mental Health Report: Transforming Mental Health for All. Geneva, Switzerland. Retrieved from https://iris.who.int/bitstream/handle/10665/356119/9789240049338-eng.pdf?sequence=1

World Health Organization. (2023). Mental Health. Retrieved from https://www.who.int/news-room/fact-sheets/detail/ mental-health-strengthening-our-response

Wu, B., Yu, X., & Gu, X. (2020). Effectiveness of immersive virtual reality using head-mounted displays on learning performance: A meta-analysis. https://doi.org/doi:10.1111/bjet.13023

Xu, J. J., & Babaian, T. (2021). Artificial intelligence in business curriculum: The pedagogy and learning outcomes. The International Journal of Management Education, 19(3), 100550. https://doi.org/10.1016/j.ijme.2021.100550

Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review. SAGE Open, 14(1). https://doi.org/10.1177/21582440241229570

Young, C. S., & Kindred, D. M. (2024). A Historical Perspective on Artificial Intelligence in Higher Education.

Zada, S., Wang, Y., Zada, M. and Gul, F., 2021. Effect of mental health problems on academic performance among university students in Pakistan. Int. J. Ment. Health Promot, 23, pp.395-408.

Zeki Coşkuner, Zeki Coşkuner i, Fırat University, Hakan Büyükçelebiii, İnönü University, Kemal Kurakiii, Çanakkale Onsekiz Mart University, Mahmut Açakiv, & İnönü University. (2021). Examining the Impact of Sports on Secondary Education Students’ Life Skills. November 2, 2021, November 2, 2021(November 2, 2021), 13. https://doi.org/10.29329/ijpe.2020.332.18

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2026-03-01

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Impact of AI Use on Students’ Learning Competencies and Mental Health at Higher Education Institutions. (2026). International Journal of Education in Mathematics, Science and Technology, 14(2), 560-575. https://doi.org/10.46328/ijemst.5375