International Research Journal of Education and Technology

The rapid proliferation of artificial intelligence (AI) in education has shifted scholarly attention from questions of technological integration to deeper concerns regarding pedagogy, ethics, and learner agency. Despite this shift, existing approaches largely conceptualize AI as an instrumental tool, leading to persistent tensions between efficiency and meaningful learning, personalization and autonomy, and innovation and ethical accountability.

Responding to these challenges, this study advances a conceptual reorientation of AI in education by positioning AI agents not as external instructional tools but as pedagogical partners embedded within human-centered learning ecologies. Drawing on a structured integrative review of recent literature and policy frameworks, the study identifies key pedagogical, ethical, and socio-technical tensions shaping current AI implementations.

Building on this analysis, the study articulates a relational pedagogical model of Human–AI partnership, which reconceptualizes learning as a co-constructed process emerging through interactions between human and artificial agents. The model integrates three interrelated dimensions: foundational values (human agency and dignity), design principles (ethical-by-design, transparency, and inclusivity), and pedagogical outcomes (adaptive feedback, multimodal engagement, and socio-emotional responsiveness).

The study contributes to the literature by moving beyond framework-based approaches and offering a theoretical and epistemological repositioning of AI in education. It further highlights the emergence of hybrid and posthuman learning ecologies, where agency, knowledge, and pedagogy are distributed across human–machine assemblages. The findings provide a foundation for future empirical research and offer practical implications for educators, designers, and policymakers seeking to develop ethical, inclusive, and pedagogically meaningful AI-supported learning environments.

Key Words:  Human AI Interaction, Artificial Intelligence, AI in Education, Human AI Partnership