Journal of Effective Teaching and Learning Practices

Volume: 3 Issue: Special Issue 1

  • Open Access
  • Original Article

Teach the AI - Vidyarthi Vijaya: Empowering Students Through Role Reversal in AI-Enabled Learning

Jai Ganesh M. N

Department of Business Administration, Assistant Professor , VVCE Mysuru, Karnataka, India

Year: 2026, Page: 41-56, Doi: https://doi.org/10.70372/jeltp.v3.sp1.8

Abstract

This paper presents an innovative pedagogical practice titled "Teach the AI - Vidyarthi Vijaya" that reverses traditional classroom dynamics by positioning students as teachers to an AI-powered chatbot. Implemented in an MBA Digital Marketing course with 12 students, this initiative employed a customized chatbot created on Landbot.io, programmed as a blank canvas without external knowledge sources. Students assumed the role of educators, teaching the chatbot various concepts while the AI responded with questions and curiosity, simulating a genuine learning experience. This qualitative study reveals significant outcomes including enhanced conceptual mastery, improved communication skills, increased student confidence, and sustained engagement. Direct feedback indicated that all students thoroughly enjoyed the teaching experience, with many reporting continued exploration of the subject matter beyond classroom requirements. The practice successfully integrated traditional Indian pedagogical philosophy of guru-shishya parampara with contemporary AI technology, offering a scalable model for active learning across diverse academic disciplines. The findings demonstrate that AI-enabled role reversal can create non-judgmental learning spaces that foster self-discovery and deeper conceptual understanding.

Keywords: Active learning; AI in Education; Digital Pedagogy; Role Reversal; Student Engagement; Teaching through Learning

References

Bargh, J. A., & Schul, Y. (1980). On the cognitive benefits of teaching. Journal of Educational Psychology, 72(5), 593-604.
Biswas, G., Schwartz, D., Bransford, J., & TAG-V. (2005). Technology support for complex problem solving: From SAD environments to AI. In K. Holyoak & R. Morrison (Eds.), The Cambridge handbook of thinking and reasoning (pp. 467-498). Cambridge University Press.
Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom. ASHE-ERIC Higher Education Report No. 1. George Washington University.
Brooks, J. G., & Brooks, M. G. (1999). In search of understanding: The case for constructivist classrooms. Association for Supervision and Curriculum Development.
Cashin, W. E., & McKnight, P. C. (2017). Improving discussions. IDEA Paper #49. The IDEA Center.
Chase, C. C., Chin, D. B., Oppezzo, M. A., & Schwartz, D. L. (2009). Teachable agents and the protégé effect: Increasing the effort towards learning. Journal of Science Education and Technology, 18(4), 334-352.
Chatterjee, S., & Bhattacharya, M. (2024). AI as a collaborative learning partner: Exploring new paradigms in higher education. Educational Technology Research and Development, 72(1), 145-168.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383.
Fiorella, L., & Mayer, R. E. (2013). The relative benefits of learning by teaching and teaching expectancy. Contemporary Educational Psychology, 38(4), 281-288.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.
Holley, K. A., & Steiner, S. (2005). Safe space: Student perspectives on classroom environment. Journal of Social Work Education, 41(1), 49-64.
Holmes, W., Persson, J., Chounta, I. A., Wasson, B., & Dimitrova, V. (2023). Artificial intelligence and education: A critical view through the lens of human rights, democracy and the rule of law. Council of Europe.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., ... Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
Kumar, K. (2017). Guru-shishya parampara: Understanding the Indian pedagogy. In K. P. Singh (Ed.), Education in India: Status and issues (pp. 78-95). Educreation Publishing.
Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076.
Matsuda, N., Yarzebinski, E., Keiser, V., Raizada, R., Stylianides, G. J., & Koedinger, K. R. (2023). Learning by teaching SimStudent: Technical accomplishments and an initial use with students. International Journal of Artificial Intelligence in Education, 33(1), 190-220.
Nair, S. M., & Nair, M. S. (2017). Bridging tradition and modernity: Adapting guru-shishya parampara for contemporary education. Journal of Indian Education, 43(2), 45-62.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.
Pak, R., & Verbeke, R. (2012). User attitudes towards voice-activated systems: A comparison between younger and older adults. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56(1), 1569-1573.

Roscoe, R. D., & Chi, M. T. H. (2007). Understanding tutor learning: Knowledge-building and knowledge-telling in peer tutors' explanations and questions. Review of Educational Research, 77(4), 534-574.
Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning and Memory, 4(6), 592-604.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

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.
Zayapragassarazan, Z., & Kumar, S. (2012). Active learning methods. NTTC Bulletin, 19(1), 3-5.

Cite this article

Jai Ganesh M. N. Teach the AI - Vidyarthi Vijaya: Empowering Students Through Role Reversal in AI-Enabled Learning. Journal of Effective Teaching and Learning Practices. 2026;3(Sp1):41-56    

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