Integrating Generative AI in Collaborative Learning to Strengthen Engagement and Participation
A Systematic Review
Keywords:
generative artificial intelligence; collaborative learning; student engagement; participation;Abstract
The integration of generative artificial intelligence (AI) into educational settings has attracted increasing attention for its potential to enhance collaborative learning, particularly by strengthening student engagement and participation. This study presents a systematic literature review that synthesizes existing research on the use of generative AI in collaborative learning environments across different educational levels. Guided by the PRISMA framework, the review analyzes how generative AI influences emotional, behavioral, cognitive, and agentic dimensions of student engagement. The findings indicate that generative AI consistently supports emotional and behavioral engagement by fostering motivation, confidence, and active participation, while its impact on cognitive engagement is more variable and strongly mediated by pedagogical design. Positive effects on agentic engagement are evident when generative AI is embedded within structured, teacher-facilitated learning activities that promote reflection and self-regulation. Furthermore, pedagogical approaches that integrate generative AI with human guidance tend to produce more balanced and sustainable engagement outcomes than stand-alone AI use. This study contributes an engagement-centered synthesis that positions generative AI as a socio-technical component of collaborative learning and provides theoretical, practical, and policy-relevant implications for its responsible and pedagogically aligned implementation in education.
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