Use of artificial intelligence for effective tracking of academic progress, monitoring student progress

This article examines the role of artificial intelligence (AI) in monitoring student progress and its effectiveness in tracking academic progress. Traditional methods of monitoring student progress, such as grades and assessments, have limitations in providing timely and personalized feedback. AI-based technologies offer innovative solutions to these challenges by analyzing massive amounts of data, identifying patterns, and providing insights to educators. This article explores various AI applications for monitoring student progress, including predictive analytics, intelligent tutoring systems, and learning analytics. It also discusses the benefits and challenges associated with AI-based performance monitoring and considers ethical considerations in this context. Using artificial intelligence, educators can gain valuable insights into student learning, identify areas for improvement, and tailor learning to individual needs, ultimately improving student achievement and success.