Exploring Educational Transformation in Teaching through Smart Learning Technologies in the Age of Artificial Intelligence

Abstract

The objective of this study is to determine the influence of AI-enabled smart learning technologies on teaching in higher education. In the age of AI, bringing technology into the classroom becomes essential to improving instructional design, assessment, and teacher professional development. This research aims to examine the impact of smart learning technology on teachers’ practices, student centered learning, and data driven pedagogical decision-making following the Technological Pedagogical Content Knowledge (TPACK) framework. The qualitative research design focused on the Department of Education at a University Narowal institution. A total of twelve faculty members were selected for semi-structured interviews through purposive sampling based on their experience with AI-enhanced instruction. The data collected was analyzed through a manual thematic analysis that identifies themes, sub-themes and quotations that help derive the study’s practical and theoretical implications. As per our findings, AI greatly enhances instructional design through adaptive lesson planning and real-time analytics to help teachers fill each student’s learning gap. The role of teachers as content deliverers has changed to mentors and facilitators with the help of automated assessments and immediate feedback systems. The incorporation of AI aids in professional development increasing teachers’ confidence and technological abilities without changing their pedagogical aims. This study helps our understanding of AI as a change agent in education. The alignment of content, pedagogy, and technology is what effective technology integration requires, not just the adoption of tools. The authors say that this research will help teachers and institutions wanting to use AI-powered teaching, opening ways for personalized teaching, data-driven teaching, and professional development.