Exploring the Impact of Generative AI on Student Engagement in Higher Education
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 26
Special Issue Editor
Special Issue Information
Dear Colleagues,
Augmenting student engagement has been a goal of higher education for decades. The proliferation of Generative AI has been a game changer in enhancing student engagement in digital learning environments. Exceeding the capabilities of traditional academic support, GenAI has introduced possibilities to enrich student engagement by providing dynamic support in the form of AI-powered tutoring systems that facilitate personalized learning, adaptive learning platforms, and assistive technologies that provide real-time support.
For higher education faculty, GenAI can analyze patterns of engagement with online course content, shedding light on possible areas of improvement and opportunities to facilitate personalized learning. Faculty can plan for early intervention strategies based on data analysis by AI tools that identify students who may be struggling. GenAI can also assist faculty with designing inclusive and accessible learning environments, thereby enhancing engagement from diverse groups of learners.
GenAI has shown potential in improving students’ historically low engagement with feedback. This is made possible by providing opportunities for students to interact with tools in distinctive engagement patterns that require them to think, feel, and act differently compared to their responses to feedback from humans.
This editorial introduction to the Special Issue titled “Exploring the Impact of Generative AI on Student Engagement in Higher Education”, for the journal Education Sciences, invites articles and studies that discuss the potential of GenAI to elevate student engagement in online learning within higher education, while also considering ethical, instructional, and empirical challenges.
Dr. Suparna Sinha
Guest Editor
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Keywords
- GenAI
- student engagement
- faculty development
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