The Inclusion of Artificial Intelligence in Teaching Learning Process is Blessing or Curse

Abstract

Objectives: This study aims to explore the dual nature of artificial intelligence (AI) in the teaching and learning process, examining its potential benefits and drawbacks.

Methods: A comprehensive literature review and analysis of current AI applications in education were conducted. The study focuses on AI-driven tools such as adaptive learning systems and intelligent tutoring, assessing their impact on personalized learning, administrative efficiency, and real-time feedback. Additionally, ethical considerations and the potential displacement of educators were examined.

Findings: The inclusion of AI in education has significant potential to personalize learning, enhance administrative efficiency, and provide real-time feedback. Adaptive learning systems and intelligent tutoring can cater to individual student needs, improving educational outcomes and facilitating targeted interventions. However, notable drawbacks include ethical concerns related to data privacy, the potential displacement of educators, and the risk of exacerbating the digital divide. These challenges underscore the importance of human oversight and the need for robust ethical frameworks in AI implementation.

Novelty: This study offers a balanced perspective on the integration of AI in education, highlighting both its revolutionary potential and the associated risks. It emphasizes the importance of thoughtful management of AI integration to maximize benefits and mitigate negative consequences.