INFLUENCE OF ARTIFICIAL INTELLIGENCE ON TEACHING EFFECTIVENESS

Abstract

The potentials of artificial intelligence (AI) literacy and application to enhance teaching effectiveness is increasingly recognised, as it has become necessary to leverage technology effectively to support teaching and learning in the ever-evolving landscape of education. The continuous development of AI and its application are significantly supporting educational reforms and profoundly influencing learning methodologies.  This paper thus delves into the potentials of AI in tailoring learning experiences to individual students’ needs and abilities, providing feedback, identifying areas for improvement, tracking progress, helping teachers identify knowledge gaps, and providing targeted interventions. It discusses ethical issues in its application, including bias, privacy, accountability and transparency, job displacement, manipulation, disinformation, human-AI interaction, value alignment, regulate governance. Identified obstacles to AI implementation include reluctance to change, inadequate funding, and insufficient training. It concludes that in order to fully utilise AI technologies and enhance learning outcomes for students, educators, policymakers, and researchers must understand the intricate relationships between AI adoption, ease of use, teaching effectiveness and student interest.