The Role of AI in Enhancing Teaching–Learning Practices across Disciplines
TL;DR
The study concludes that AI serves as an enabler of augmented pedagogy, complementing teachers and fostering higher-order thinking, creativity, and lifelong learning.
Abstract
Artificial Intelligence (AI) is transforming teaching–learning practices by enabling personalized, data-driven, and scalable educational environments aligned with Industry 4.0. AI-based tools such as adaptive learning systems, intelligent tutoring, automated assessment, simulations, and predictive analytics address key limitations of traditional education, including one-to-many instruction, delayed feedback, and limited learner engagement. Across disciplines engineering, healthcare, humanities, social sciences, and management—AI supports contextual and experiential learning through virtual labs, NLP-based feedback, decision-support systems, and immersive technologies. Beyond instruction, AI enhances institutional functions such as learner analytics, dropout prediction, curriculum optimization, and inclusive education. This paper reviews recent research and proposes an AI-Integrated Pedagogical Enhancement Model (AI-IPEM). Empirical findings indicate improvements in learning efficiency (22–45%), feedback turnaround time (70–90%), student retention (10–18%), and learning compliance (30–50%). The study concludes that AI serves as an enabler of augmented pedagogy, complementing teachers and fostering higher-order thinking, creativity, and lifelong learning.