AI-DRIVEN PEDAGOGY: TRANSFORMING THE ROLE OF EDUCATORS AND LEARNERS

Abstract

Artificial Intelligence (AI) has quickly transformed the way education is often delivered. Although AI continues to advance, there is still a significant need to investigate the new roles that educators and learners play in digital learning environments. The existing challenges that students face include the fact that not all teachers are ready to use AI, AI systems are designed for general use, and privacy aspects are debated. Currently, AI-powered education platforms facilitate personalized learning and automation; however, they often overlook the importance of teaching theory, practical application, and teacher involvement. In this study, we examine how AI technology can transform instructors’ roles, proposing a new pedagogical transformation framework that keeps students at the center while utilizing AI automation. We introduced a multi-layered AI-human collaboration with AI advisor model that helps in adaptive content delivery and continuous teacher involvement. Our research is grounded in qualitative and empirical evaluations across various hybrid learning backdrops, delivering actionable insights into how AI can complement rather than entirely replace human pedagogy. We implemented our research by developing an AI-powered Learning Management System (LMS) that is integrated with Gemini APIs. The research contributes to the discussion about sustainable AI usage in 21st-century pedagogy by highlighting its potential to assist teaching, facilitate student learning, and drive overall advancements that lead to more resilient and intelligent education.