AI - Education : Transforming , Teaching , Learning & Assessment

About the Project

Artificial Intelligence (AI) is fundamentally reshaping the global educational landscape by redefining pedagogical frameworks, automating administrative burdens, and enabling hyper personalised learning environments. This research paper examines the systemic transformation across three core educational pillars: teaching, learning, and assessment. Through an analysis of adaptive learning platforms, intelligent tutoring systems (ITS), and generative AI models, we demonstrate how the role of the educator is shifting from an authoritative lecturer to an active facilitator and mentor. For students, AI algorithms optimise engagement and concept retention by continuously tailoring instruction to individual learning velocities and diverse access needs. In additional, this study explores how AI-driven analytics are modernising traditional evaluation methods, accelerating a shift from high-stakes summative exams toward real-time, formative, and process oriented assessments. In conclusion, this paper addresses critical implementation challenges including data privacy, algorithmic bias, the digital divide, and cognitive over reliance and proposes actionable guidelines for creating an equitable, human centric collaborative learning ecosystem.