Examining the Impact of Applying Artificial Intelligence in Teaching on Students’ Academic Engagement and Group Learning

Document Type : Research Article

Author

Assistant Professor, Department of Educational Sciences and Counseling, Payame Noor University, Tehran, Iran

10.22084/j.psychogy.2025.30808.2779

Abstract

Objective: With the advancement of digital technologies, Artificial Intelligence (AI) has emerged as a novel tool in the field of education. This technology plays an important role in increasing students' academic motivation and improving the group learning process by providing personalized, interactive, and collaborative solutions. AI enhances student engagement by creating attractive learning environments that are tailored to each student’s individual needs. Additionally, AI tools such as virtual learning platforms, simulators, and content recommendation systems allow students to engage more effectively and collaboratively in group activities. The purpose of this study was to investigate the impact of the application of artificial intelligence on teaching concerning students’ academic motivation and group learning. The research method was a quasi-experimental design using a pre-test/post-test approach with a control group.
Methods: The statistical population included 30 students from District Five of Tehran, who were selected through convenience sampling and divided into two groups (15 participants each) – experimental and control. Data collection tools consisted of the Academic Motivation Questionnaire developed by Fredricks, Blumenfeld, and Paris (2004), and the Group Learning Questionnaire by Lemy Loren (1998).
Results: Data were analyzed using covariance analysis. The findings revealed that the application of artificial intelligence in teaching impacts students' academic motivation. Furthermore, the application of artificial intelligence in teaching affects students' group learning.
Conclusions: Based on the research findings, it can be concluded that artificial intelligence is a powerful tool for enhancing academic motivation and group learning. Using this technology in teaching can contribute to improving the quality of education and learning.
 

Keywords

Main Subjects

References

Ahmadzadeh, P. (2024). The impact of educational technology on improving academic motivation and engagement. First National Conference on New Approaches to the National Curriculum in the New Ecosystem. https://civilica.com/doc/2187724/ [in Persian]
Alemayehu, G., & Natarajan, M. (2018). Impact of (ICT) Facility on Student's Academic Performance in Jimma University. Ethiopia, 8, 136-142. https://doi.org/10.5958/2249-5576.2018.00029.8
Ali, SS., & Choi, BJ. (2020). State-of-the-art artificial intelligence techniques for distributed smart grids: a review. Electronics, 9(6), 1030. https://doi.org/10.3390/electronics9061030
Balta, N. (2024). A short review of AI in education: Perspectives from the Web of Science database. Journal of Education and Learning, 13(2), 45-60. https://doi.org/10.31757/euer.723
Bélanger, C., & Ratelle C. F. (2021). Passion in university: the role of the dualistic model of passion in explaining students' academic functioning. Journal of Happiness Studies. 22, 2031-2050. https://doi.org/10.1007/s10902-020-00304-x
Chaya, H. (2022). The variables affecting students' enthusiasm for studying in virtual settings: a review. Asian Journal of Science Technology and Society. 1, 11-16. https://doi.org/10.53402/ajsts.v1i1.57
Chedrawi, C, Howayeck, P., & Tarhini A. (2019). CSR and legitimacy in higher education accreditation programs, an isomorphic approach of Lebanese business schools. Quality Assurance in Education. 27(1), 70-81. https://doi.org/10.1108/QAE-04-2018-0053
Chiu, T. K. F., 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
Chiu, T. K., & Rospigliosi, P. A. (2025). Encouraging human-AI collaboration in interactive learning environments. Interactive Learning Environments, 33(2), 921-924. https://www.tandfonline.com/doi/full/10.1080/10494820.2025.2471199#d1e117
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International journal of educational technology in higher education, 20(1), 22. https://doi.org/10.1186/s41239-023-00392-8
Fannakhosrow, M., Nourabadi, S., Huy, D., Trung, N., & Tashtoush, M. (2022). A Comparative Study of Information and Communication Technology (ICT)-Based and Conventional Methods of Instruction on Learners' Academic Enthusiasm for L2 Learning. Education Research International, Article ID 5478088, 1-8. https://doi.org/10.1109/ICEIT51700.2021.9375549
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109. https://doi.org/10.3102/00346543074001059
Geletu G. M. (2022). The effects of teachers' professional and pedagogical competencies on implementing cooperative learning and enhancing students' learning engagement and outcomes in science: practices and changes. Cogent Education, 9(1). https://doi.org/10.1080/2331186X.2022.2153434
Gkorezis, P., Mousailidis, G., Kostagiolas, P., & Kritsotakis, G. (2021). Harmonious work passion and work‐related internet information seeking among nurses: The mediating role of intrinsic motivation. Journal of nursing management, 29(8), 2534-2541. https://doi.org/10.1111/jonm.13405
Gökçearslan, S., Tosun, C., & Erdemir, Z. G. (2024). Benefits, challenges, and methods of artificial intelligence (AI) chatbots in education: A systematic literature review. International Journal of Technology in Education, 7(1), 19-39. https://doi.org/10.46328/ijte.600
Grohman, M. G., & Snyder, H. T. (2022). Why do we create? The roles of Mindset, motivation, and passion, in Creativity and Innovation Theory, Research, and Practice. ed. H. Sigmundsson (London: Routledge), 67-82. https://doi.org/10.4324/9781003233923-6
Hajati Kaji, H. (2024). Analyzing ways to create diversity and attractiveness in education and improve school enthusiasm using the integration of artificial intelligence with gamification. First National Conference on New Approaches to the National Curriculum in the New Ecosystem. [in Persian]
Han, J. (2025). Learning engagement among rural junior high school students with AI-powered ALS. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-05676-0
Hashemi, M. M., Rahimi, M., Rahimi, Y., & Rahimi, N. (2024). The future of smart classrooms: The role of artificial intelligence in creating interactive learning environments. Second International Conference on Sociology, Social Sciences, and Education with a Future-Oriented Approach. [in Persian]
Heidari, M., Heidari, M., Alaiifar, M., & Moghaddas, M. (2024). Artificial intelligence and improving teacher-student interaction to prevent academic dropout. First National Conference on New Perspectives in Education and Training . [in Persian]
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Boston: Center for Curriculum Redesign. https://doi.org/10.58863/20.500.12424/4276068
Hu, J. (2024). The challenge of traditional teaching approach: A study on the path to improve classroom teaching effectiveness based on secondary school students' psychology. Lecture Notes in Education Psychology and Public Media, 50, 213-219. https://doi.org/10.54254/2753-7048/50/20240945
Ibrahim, Y. L., Fasasi, Y. A., Suleiman, Y., & Ishola, M. A. (2022). Teachers' citizenship behavior as a determinant of students' academic performance in north-central, Nigeria. Mediterranean Journal of Education. 2, 94-104.
Jafaripour, H., Qomi, M., Moslemi, Z., Mahmoudi, S. A., & Moslemi, A. (2020). The Relationship between Psychological Hardiness and Academic Enthusiasm and Vitality in Students of Arak University of Medical Sciences. Strides in Development of Medical Education, 17(1), 1-7. https://doi.org/10.22062/SDME.2020.91546
Jung, Y., & Ryu, J. (2023). Associations between obesity and academic enthusiasm and social emotional competence: Moderating effects of gender and sleep quality. Journal of Human Behavior in the Social Environment, 33(2), 276-295. https://doi.org/10.1080/10911359.2022.2052224
Kafai, Y. B., & Burke, Q. (2014). Connected code: Why children need to learn programming. MIT press. https://doi.org/10.7551/mitpress/9992.001.0001
Kamankesh, Sh., & Farahani, I. (2023). Analysis of the role of artificial intelligence in facilitating group learning in schools. First International Conference on New Horizons in Education and Training in the Third Millennium. [in Persian]
Kang, H. (2023). Artificial intelligence and its influence in adult learning in China. Higher Education, Skills and Work-Based Learning, 13(3), 450-464. https://doi.org/10.1108/HESWBL-01-2023-0017
Kaoropthai, C. (2024). Passion for learning: what we know about passion for learning English. Educational Studies, 50(6), 1319-1335. https://doi.org/10.1080/03055698.2022.2078657
Klimova, B. (2025). Exploring the effects of artificial intelligence on student and motivation. Frontiers in Psychology. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC11830699/
https://doi.org/10.3389/fpsyg.2025.1498132
Labadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI chatbots in education: systematic literature review. International Journal of Educational Technology in Higher Education, 20(1), 56. https://doi.org/10.1186/s41239-023-00426-1
Lex, M., Gielnik, M. M., Spitzmuller, M., Jacob, G. H., & Frese, M. (2022). How passion in entrepreneurship develops over time: A self-regulation perspective. Entrepreneurship Theory and Practice, 46(4), 985-1018. https://doi.org/10.1177/1042258720929894
Lin, H. Chen, Q. (2024). Artificial intelligence (AI)-integrated educational applications and college students' creativity and academic emotions: students and teachers' perceptions and attitudes. BMC psychology, 12, 487. https://doi.org/10.1186/s40359-024-01979-0
Mahmodiyan, H. , Abbasi, M., Pirani, Z. & Shahali Kaborani, F. (2018). The role of emotional, cognitive and behavioral enthusiasm in predicting academic burnout students. Journal of Cognitive Strategies in Learning, 6(10), 197-206. https://doi.org/10.22084/j.psychogy.2017.8753.1242 [in Persian]
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2010). Job burnout. Annual Review of Psychology. 52, 327-422. https://doi.org/10.1146/annurev.psych.52.1.397
Nishiyama, K. (2021). Democratic education in the fourth generation of deliberative democracy. Theory and Research in Education, 19(2), 109-126. https://doi.org/10.1177/14778785211017102
Pirsoul, N., & Armoudian, M. (2019). Deliberative democracy and water management in New Zealand: A critical approach to collaborative governance and co-management initiatives. Water Resources Management, 33(14), 4821-4834. https://doi.org/10.1007/s11269-019-02400-x
Rahimi, S., Paquette, V., & Vallerand, R. J. (2023). The role of students' passion and affect in resilience following failure. Learning and Individual Differences, 107, 102360. https://doi.org/10.1016/j.lindif.2023.102360
Raja, S., Jebadurai, D. J., Ivan, L., Mykola, R. V., Ruslan, K., & Nadiia, P. R. (2024). Impact of Artificial Intelligence in Students' Learning Life. In AI in Business: Opportunities and Limitations: Volume 2 (pp. 3-17). Cham: Springer Nature Switzerland
https://doi.org/10.1007/978-3-031-49544-1_1
Rashidi, A., Zandi, F., Yarahmadi, Y., and Akbari, M. (2021). The effectiveness of academic enthusiasm-based educational program on self-defeating academic behavior of Ivan's high school students. Journal of Applied Psychology. 15, 9-23. https://doi.org/10.52547/apsy.2021.221548.1036
Säily, L., Huttunen, R., Heikkinen, H. L. T., Kiilakoski, T., & Kujala, T. (2021). Designing education democratically through deliberative crowdsourcing: The case of the Finnish curriculum for basic education. Journal of Curriculum Studies, 53(6), 841-856. https://doi.org/10.1080/00220272.2020.1857846
Simesso, M. D., Gutu, T. S., & Tarekegn, W. M. (2024). The contribution of using cooperative learning methods on students' achievement and retention in secondary schools during chemistry lesson. Education Research International, 2024(1), 1830124. https://doi.org/10.1155/2024/1830124
Sverdlik, A., Rahimi, S., & Vallerand, R. J. (2022). Examining the role of passion in university students' academic emotions, self-regulated learning and well-being. Journal of Adult and Continuing Education, 28(2), 426-448. https://doi.org/10.1177/14779714211037359
Tashtoush, M. & Rasheed, N. (2023 c). The Assessment of the Performance of Calculus Students in Composition Function and Finding an Inverse Function. 6th Sohar University Teaching and Learning Conference (Innovations and Applications in Teaching and Learning), 2 March, 2023, Sohar University, OMAN.
Theobald, M. (2021). Self-regulated learning training programs enhance university students' academic performance, self-regulated learning strategies, and motivation: A meta-analysis. Contemporary Educational Psychology, 66, 101976. https://doi.org/10.1016/j.cedpsych.2021.101976
Treve, M. (2024). Integrating Artificial Intelligence in Education: Impacts on Student Learning and Innovation. International Journal of Vocational Education and Training Research, Vol 10, Issue 2). https://doi.org/10.11648/j.ijvetr.20241002.14
Vallerand, R. J., & Paquette V. (2024). The role of passion in the resilience process. Self Identity 23, 288-305. https://doi.org/10.1080/15298868.2024.2369056
Vallerand, R. J., Blanchard, C., Mageau, G. A., Koestner, R., Ratelle, C., Léonard, M., ... & Marsolais, J. (2003). Les passions de l'ame: on obsessive and harmonious passion. Journal of personality and social psychology, 85(4), 756. https://doi.org/10.1037/0022-3514.85.4.756
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational psychologist, 46(4), 197-221. https://doi.org/10.1080/00461520.2011.611369
Wang, D., Tao, Y., & Chen, G. (2024). Artificial intelligence in classroom discourse: A systematic review of the past decade. International Journal of Educational Research, 123, 102275. https://doi.org/10.1016/j.ijer.2023.102275
Wang, X., Xu, X., Zhang, Y., Hao, S., & Jie, W. (2024). Exploring the impact of artificial intelligence application in personalized learning environments: thematic analysis of undergraduates' perceptions in China. Humanities and Social Sciences Communications, 11(1), 1-10. https://doi.org/10.1057/s41599-024-04168-x
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39), 1-27. https://doi.org/10.1186/s41239-019-0171-0
Zheng, Y. (2024). The Application of Cooperative Learning Theory in College English Reading Teaching. International Journal of Mathematics and Systems Science, 101-104. https://doi.org/10.18686/ijmss.v7i1.4117

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