ABSTRACT

The integration of Artificial Intelligence (AI) in education has sparked intense debate about its impact on students' academic performance. On one hand, AI has the potential to enhance learning outcomes by providing personalized instruction, automating grading, and offering real-time feedback. AI-powered tools can also facilitate access to vast educational resources, making learning more engaging and efficient. On the other hand, excessive reliance on AI may hinder critical thinking, creativity, and problem-solving skills. Over-reliance on AI-generated solutions can lead to a lack of understanding of fundamental concepts, ultimately negatively impacting academic performance. Moreover, AI-driven assessments may prioritize rote memorization over deeper understanding, potentially stifling intellectual curiosity. This research work aims to explore the dual effects of AI on academic performance, examining both the benefits and drawbacks. It also aims to investigate the equilibrium between AI's positive and negative impacts on academic performance, exploring strategies to maximize benefits while mitigating drawbacks. By investigating the interplay between AI and student learning, we can harness the potential of AI to augment education while mitigating its negative consequences. A balanced approach will enable educators to leverage AI as a tool to enhance, rather than replace, traditional teaching methods, ultimately fostering a more effective and inclusive learning environment. The researcher concludes with encouragement to use of both Artificial Intelligence and human intelligence. To maximize benefits and minimize drawbacks, educators must establish guidelines for AI usage, promote digital literacy, and encourage human-AI collaboration. By acknowledging AI's dual nature and striving for equilibrium, we can harness its potential to augment academic performance while maintaining the value of human intelligence. The researcher used secondary data collection for data generation.