What the study found
The review found that AI tools in higher education are most effective for student engagement when they are used with interactive teaching methods. The authors also propose the PMAISE model, which stands for Pedagogical Mediation of AI for Student Engagement, to describe how AI, pedagogy, and engagement are connected.
Why the authors say this matters
The authors conclude that AI in higher education should be integrated in a context-sensitive, evidence-based, and pedagogically meaningful way. They suggest that thoughtful pedagogical mediation is crucial for maximizing AI’s educational benefits.
What the researchers tested
The researchers conducted a systematic review of 73 peer-reviewed articles published between 2015 and early 2025. They searched Scopus and Web of Science, followed PRISMA guidelines, and coded studies using a framework covering AI types, engagement outcomes, and instructional strategies.
What worked and what didn't
AI tools such as chatbots, adaptive systems, and predictive analytics were reported to enhance engagement most effectively when paired with flipped classrooms, project-based learning, and scaffolded feedback loops. The review also notes that teaching methods can amplify or inhibit the effects of AI tools, and it highlights concerns related to ethics, data privacy, and structural barriers to equitable AI adoption.
What to keep in mind
This is a review of previously published studies, not a single new experiment. The abstract does not provide detailed limitations beyond noting concerns about ethics, data privacy, and barriers to equitable adoption.
Key points
- The review analyzed 73 peer-reviewed articles from 2015 to early 2025.
- AI tools were most effective for engagement when used with interactive pedagogies.
- The paper introduces the PMAISE model to map AI, pedagogy, and engagement.
- Chatbots, adaptive systems, and predictive analytics were among the AI tools discussed.
- The abstract highlights ethics, data privacy, and equity barriers as concerns.
Disclosure
- Research title:
- AI tools improve student engagement when paired with teaching methods
- Authors:
- Dong Yu Long, Shuai Wang, Sabariah Md Rashid, Xiao Tao Lu
- Institutions:
- Jiaying University, Jiaying University, Shanxi University, UCSI University, UCSI University, Yuncheng University
- Publication date:
- 2026-02-02
- OpenAlex record:
- View
Get the weekly research newsletter
Stay current with scholarly research without reading academic papers — one filtered digest, every Friday.