Artificial Intelligence (AI) is transforming contemporary education by redefining the roles of teachers, learners, and institutions. This theoretical article conceptualizes the evolving position of AI in teaching and learning through the metaphor of “from chair to chairperson,” signifying AI’s progression from a peripheral instructional aid to a central orchestrator of pedagogical, assessment, and governance processes. Anchored in constructivist theory, connectivism, activity theory, and the diffusion of innovation framework, this paper critically examines how AI reshapes curriculum design, instructional strategies, learning personalization, and academic decision-making.
The article proposes conceptual models that illustrate AI’s role in mediating interactions among teachers, learners, content, and institutional systems. It highlights how AI-supported analytics and adaptive systems enhance teacher agency by enabling data-informed instructional planning, while simultaneously fostering learner autonomy through personalized, self-regulated learning pathways. In assessments, AI is positioned as a transformative force enabling formative, continuous, and competency-based evaluation practices beyond traditional examination-centric models.
At the institutional level, the study explores AI’s emerging leadership functions in academic governance, including resource optimization, quality assurance, and strategic planning. While recognizing AI’s potential to improve efficiency and equity, the paper critically addresses ethical and practical challenges such as algorithmic bias, data privacy, digital divides, and the need for professional readiness among educators and administrators.
The article concludes by outlining the future trajectories of AI as an academic “chairperson,” emphasizing hyper-personalized learning ecosystems, emotionally responsive AI systems, and semi-autonomous digital classrooms. It offers strategic recommendations for responsible AI integration, advocating for a human-centered, ethically grounded approach that positions educators as co-leaders rather than passive recipients of AI-driven change. This work contributes to theoretical discourse by reframing AI not merely as technology, but as an evolving leadership actor within educational ecosystems.
