Role of Artificial Intelligence in Revolutionizing Lesson Plan for teaching: A Systematic Review

Authors

  • K Santosh Kumar Rao Research Scholar, School of Education, Lovely Professional University, Phagwara, Punjab Author
  • Dr. Manoj Kumar Nag Assistant Professor, Department of Political Science, Rajendra University, Balangir, Odisha Author

DOI:

https://doi.org/10.31305/rrijm.2026.v11.n04.031

Keywords:

Artificial intelligence, Lesson plan, Instructional design, Pre-Service teachers, In-Service teachers, Systematic review

Abstract

The use of artificial intelligence (AI) in school education is becoming increasingly important. It has significant effects on various dimensions of education system such as instructional practices, assessment strategies, and administrative processes. It also plays a vital role in instructional design or lesson plan. However no systematic review studies focus on summarising research on the role of AI in lesson planning. For this reason, this study aims to systematically review research on the use of AI for lesson planning. The researchers performed a systematic review according to the PRISMA statement. A systematic search was used across IEEE Explore, BASE, ERIC, DOAJ and Science Direct to identify peer reviewed articles spanning from 1 January 2010 to 30 March 2026.Keywords used were “AI or Artificial Intelligence, Generative AI” and “Lesson Plan or Instructional design” and “School”. A total of 627 titles and abstracts were screened for eligibility, of which 29 articles met eligibility criteria for full text review. Following a more detailed screening, 21 articles met the criteria for inclusion in the systematic review. The findings indicate that AI provides significant advantages, like reducing time in material creation, boosting creativity in pedagogy and streamlined lesson organisation. This study reveals that most of the in-service and pre-service teachers use AI tools like Gemini, ChatGPT and Microsoft copilot and magic school AI for designing the lesson plan. However, application of AI tools comes with several challenges such as inconsistent quality and less contextual relevance, necessitating proper human oversight and evaluation.

Author Biographies

  • K Santosh Kumar Rao, Research Scholar, School of Education, Lovely Professional University, Phagwara, Punjab

    Mr. K. Santosh Rao is currently pursuing his Ph.D. in Education at Lovely Professional University, Punjab, India. He completed his Postgraduate degree (M.A. in Education) from Gangadhar Meher University, Odisha, India. He is presently working as an Assistant Professor (Foundation Course) in the Department of Teacher Education, Rajendra University, Balangir, Odisha, India. His academic interests include educational research, teacher education, assessment and evaluation, educational technology, and the ethical integration of artificial intelligence in education. He has actively contributed to academic discourse through research publications, book chapters, seminars, and faculty development programmes, and continues to engage in teaching, research, and institutional academic activities.

  • Dr. Manoj Kumar Nag, Assistant Professor, Department of Political Science, Rajendra University, Balangir, Odisha

    Dr. Manoj Kumar Nag is currently serving as an Assistant Professor in the Department of Political Science in Rajendra University Balangir, Odisha. He completed his B.A. in Political Science (Honours) from under and obtained his M.A. in Political Science. He earned his M.Phil. and Ph.D. in South Asian Studies from and qualified UGC-NET in Political Science in 2006.He has teaching experience in higher education since 2013 and has guided research at undergraduate, postgraduate, and Ph.D. levels. His areas of academic interest include Political Theory and Thought, Labour Migration, and Public Policy.

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Published

2026-04-15

How to Cite

Rao, K. S. K., & Nag, M. K. (2026). Role of Artificial Intelligence in Revolutionizing Lesson Plan for teaching: A Systematic Review. RESEARCH REVIEW International Journal of Multidisciplinary, 11(4), 286-295. https://doi.org/10.31305/rrijm.2026.v11.n04.031