Role of AI in Blended Learning: A Systematic Literature Review




blended learning, artificial intelligence, systematic review, AI in education


As blended learning moved toward a new phase during the COVID-19 pandemic, advancements in artificial intelligence (AI) technology provided opportunities to develop more diverse and dynamic blended learning. This systematic review focused on publications related to the use of AI applications in blended learning. The original studies from January 2007 to October 2023 were extracted from the Google Scholar, ERIC, and Web of Science databases. Finally, 30 empirical studies under the inclusion criteria were reviewed based on two conceptual frameworks: four key challenges of blended learning and three roles of AI. We found that AI applications have been used mainly for the online asynchronous individual learning component in blended learning; little work has been conducted on AI applications that help connect online activities with classroom-based offline activities. Many studies have identified the role of AI as a direct mediator to help control flexibility and autonomy of students in blended learning. However, abundant studies have also identified AI as a supplementary assistant using advanced learning analytics technologies that promote effective interactions with students and facilitate the learning process. Finally, the fewest number of studies have explored the role of AI as a new subject such as use as pedagogical agents or robots. Considering the advancements of generative AI technologies, we expect more research on AI in blended learning. The findings of this study suggested that future studies should guide teachers and their smart AI partner to implement blended learning more effectively.

Author Biographies

Yeonjeong Park, Department of Early Childhood Education, Honam University

Yeonjeong Park is an assistant professor at the Department of Early Childhood Education at Honam University, Korea. Her research interests are social theories of learning, mobile learning, educational data mining, learning analytics, and emerging technologies in education and training. She can be reached at

Min Young Doo, Department of Education, Kangwon National University

Min Young Doo is an assistant professor in the Department of Education in the College of Education at Kangwon National University, Korea. Her research interests include instructional design, online learning, flipped learning, and human resource development. She can be reached at


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How to Cite

Park, Y., & Doo, M. Y. (2024). Role of AI in Blended Learning: A Systematic Literature Review. The International Review of Research in Open and Distributed Learning, 25(1), 164–196.



Literature Reviews