Current Issues in Educational Data Analysis Through Artificial Intelligence

Abstract

the integration of artificial intelligence (AI) to advance educational processes is the focus of this article's review of the present and future of educational data analysis. This article clarifies how these approaches might maximize learning results by examining methodologies and technology including recommendation systems, forecasting strategies, data analysis models, and visualization tools. The essay discusses techniques like text analysis, neural networks, clustering, and classification and explains how they might increase the effectiveness of instructional procedures. The advantages of using educational data to forecast student progress and modify teaching strategies are discussed. A thorough analysis of current resources and tools is provided, emphasizing their benefits, drawbacks, and the difficulties faced by institutions and researchers. The study examines prospective advancements in educational data analysis and future research areas, emphasizing the value of utilizing contemporary technology, especially AI. The article concludes that thoughtful application of AI-driven data analysis can greatly boost teaching methodologies.