This comprehensive review sheds light on a truth often overlooked in the AI education hype: technology alone doesn’t make for engaged students. It’s the way these AI tools are woven into the fabric of teaching methods that really moves the needle. Think of AI not as the star player, but as a versatile teammate whose impact depends heavily on the coach’s strategy.
The introduction of the PMAISE model is a refreshing step toward simplifying a complex system—mapping how AI meshes with pedagogical techniques to boost engagement across emotional, behavioral, and cognitive domains. It’s a reminder that AI should augment interactive methodologies like flipped classrooms and project-based learning rather than operate in isolation as some shiny gimmick.
What’s particularly intriguing is the spotlight on ethical and practical concerns—privacy and equity, anyone?—which insists we keep one foot grounded in real-world classroom dynamics while reaching for technological innovation.
For fellow techno-enthusiasts and educators alike, this review encourages pragmatism: let’s innovate boldly but embed AI thoughtfully. After all, AI’s magic in higher education might just stem less from algorithms and more from human insight steering its use. So next time you tinker with AI edtech, ask: How does it play with the teaching? Because without that harmony, even the flashiest AI risks being background noise. Source: Frontiers | Artificial Intelligence in Higher Education (AIHE): A systematic review of their impact on student engagement and the mediating role of teaching methods
