HomeAnnotated BibliographiesGenAI Artificial Intelligence in Higher Education (AIHE): A Systematic Review of Their Impact on Student Engagement and the Mediating Role of Teaching Methods Share: Section NavigationSkip section navigationIn this sectionAnnotated Bibliographies Affirming and Inclusive Engaged Learning for Neurodivergent Students Capstone Experiences Conditions for Meaningful Learning GenAI and Engaged Learning Global Learning Internships Learning Communities Learning on Location: Place-Based Pedagogies Mentoring Service-Learning Student-Faculty Partnership Supporting Neurodiverse and Physically Disabled Students Undergraduate Research Work-Integrated Learning Writing Transfer In and Beyond the University Reference List Entry:Long, Dong Yu, Shuai Wang, Sabariah Md Rashid, and Xiao Tao. 2025. "Artificial Intelligence in Higher Education (AIHE): A Systematic Review of Their Impact on Student Engagement and the Mediating Role of Teaching Methods." Frontiers in Education 10. https://doi.org/10.3389/feduc.2025.1648661.About this Journal Article:By using the systematic review, this paper has similar advantages to multi-site research including a variety of topic areas and types of institutions and learners. The variety of reporting strategies including network charts and word clouds offers some accessible ways to think about the scope of what has been tested and can enable good discussion of the affordances of different research methods. Annotation by Amanda Sturgill I recommend this scholarly text because it’s a systematic review of recent work. It will help establish a baseline for conversations on specific research foci that the seminar participants will discuss. The article also introduces a framework for understanding the use of AI for student engagement. Annotation by Trent M. Kays