Abstract

AI is not just transforming education but also shaping our philosophy of AI-enhanced teaching and learning through collaborations among teachers, students, and AI in dynamically triadic relationships to promote co-creation, real-time feedback, and inclusive practices. This paper refers to an exploratory study of Teacher–Student–AI interactions mediated through collaborative AI‑enabled tools, drawing on secondary sources including academic papers, case studies and the development of industry to 2026. Based on thematic analysis, the paper investigates central applications such as intelligent tutoring systems (e.g., adaptive tools such as Duolingo and Century Tech), AI-facilitated joint lesson design dashboards and balanced group participation analytics. Important outcomes show an improvement in interaction dynamics when AI technology is used in a neutral mediation capacity, hence facilitating critical thinking, creativity, and personalized support, aligning with Sustainable Development Goals. Strengths include decreased burdens on teachers, increased engagement of students through chatbots and brainstorming tools, and scalability in developing learning programs together. There are, however, concerns regarding threats of private data in collaborative spaces, inequity in access, overreliance, and training teachers in effectively managing AI. The study highlights the importance of education sector implementation of collaborative AI in a well-balanced form to maximize triadic results while keeping human factors intact. Future studies are proposed to remain ethical while focusing on validations for preserving transformative capacities of triadic education.

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