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Human–AI Co-Agency in Peer-Based Collaborative Pedagogies for Education 5.0
Abstract
This chapter examines how generative artificial intelligence (GAI) transforms collaborative and peer learning. Building on Vygotskian social constructivism and technology integration frameworks, Teacher-AI Collaboration (TAC), we analyze how AI-mediated interactions shape participation and knowledge co-construction in group learning. Our research reveals that strategic GAI integration enhances peer feedback, facilitates dynamic group formation, and promotes equitable participation in collaborative environments. GAI enhances student-AI-peer interactions across LMS platforms with improved AI literacy and Prompt Engineering. Based on current learning theories, this research shows the potential of GAI integration to democratize participation, reduce cognitive load, and foster sophisticated peer dialogue. We advance theoretical understanding by synthesizing peer learning principles with AI affordances in integrated GAI-LMS systems, providing empirically grounded recommendations for transforming collaborative learning with ethically-centered, human-grounded AI integrations
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