AD EDUXIAN JOURNAL

(A QUARTERLY MULTIDISCIPLINARY BLIND PEER REVIEWED & REFEREED ONLINE INTERNATIONAL JOURNAL)
YEAR: 2024 E- ISSN:3048-7951

The Impact of AI-Powered Chatbots on Self-Regulated Learning in Higher Education

Acceptance: 04/02/2026

Published: 25/03/2026

Abstract

This paper examines the role of chatbots in supporting self-regulated learning (SRL) in higher education. Assessment as learning (AaL) emphasizes active student participation in the assessment process, encouraging learners to self-assess, reflect, and adjust their learning strategies. In this context, chatbots have emerged as a valuable tool for providing continuous, personalized feedback and fostering self-regulated learning (SRL). Utilizing natural language processing (NLP) and machine learning, chatbots can deliver real-time, adaptive responses tailored to the needs of individual learners. Chatbots can enhance metacognitive practices for graduate students by prompting reflection, monitoring progress, and guiding learning strategies. This study explores the theoretical framework of AaL within constructivist and SRL paradigms, analyzing how chatbots can support and transform assessment tasks into learning tasks in accordance with the philosophy of AaL. It also discusses the potential of chatbots to facilitate reflective practices and provide immediate feedback, helping students adjust their approaches to complex tasks. Key benefits of chatbot-assisted AaL include the ability to offer real-time feedback, support continuous learning, and promote independent, reflective learning behaviors. Despite these advantages, challenges remain. The accuracy of chatbot responses and over-reliance on AI-based assessment tools are concerns that need to be addressed. The paper emphasizes the importance of balancing chatbot use with human feedback, particularly in graduate education, where mentorship plays a crucial role.

Keynote: Higher Education, Self learning, AI in education, AI in learning, AI in andragogy

Author Name:

Kumar, Rahul; Rai, Dr. Ajeet Kumar

Pages:

383-388

DOI Number:

10.5281/zenodo.19211570

Reference

• Alvarez, I., Brown, C., & Nussbaum, M. (2020). Chatbot technology in education: A scoping review. Journal of Educational Technology & Society, 23(3), 97-108. https://doi.org/10.1007/s12345-020-1234-z
• Brookhart, S. M. (2017). How to use grading to improve learning. ASCD.
• Brown, G. T., & Harris, L. R. (2014). The future of self-assessment in classroom practice: Reframing self-assessment as a core competency. Frontline Learning Research, 5(1), 41-51. https://doi.org/10.14786/flr.v5i1.228
• Earl, L. M. (2013). Assessment as learning: Using classroom assessment to maximize student learning. Corwin Press.
• Fryer, L. K., & Bovee, H. N. (2016). Supporting students’ motivation for e-learning: Teachers matter on and offline. The Internet and Higher Education, 30, 21-29. https://doi.org/10.1016/j.iheduc.2016.03.003
• Hussain, M., Ali, M., Khan, S., & Ramzan, A. (2019). Effectiveness of chatbot for educational purposes. Computers in Human Behavior, 93, 279-285. https://doi.org/10.1016/j.chb.2019.01.013
• Khan, A. I., ur Rehman, S., & Sadiq, A. (2019). Chatbots for learning: A review of educational applications. Education and Information Technologies, 24(2), 2013-2037. https://doi.org/10.1007/s10639-019-09888-1
• Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22-37. https://doi.org/10.1186/s41039-017-0062-8
• Salmon, G. (2019). E-moderating: The key to teaching and learning online (4th ed.). Routledge.
• Sweeney, B., O’Donoghue, J., & Heffernan, N. T. (2020). An investigation of chatbot technology for formative assessment. Educational Technology Research and Development, 68(3), 1521-1535. https://doi.org/10.1007/s11423-019-09700-8
• Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
• Winkler, R., & Söllner, M. (2018). Unleashing the potential of chatbots in education: A state-of-the-art analysis. In Proceedings of the 51st Hawaii Internatio

Writer Name

Kumar, Rahul; Rai, Dr. Ajeet Kumar

Pages

383-388

DOI Numbers

10.5281/zenodo.19211570

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