The Proposal of a Dashboard for Analysis and Visualization of Educational Data of Intelligent Tutoring Systems

This research paper discusses the impact of teaching and learning technologies on generating extensive data in education. Despite this data, a significant portion remains unanalyzed, creating a gap in utilizing its potential insights. Educational dashboards address this issue by presenting student information and interactions in online learning environments, utilizing Educational Data Mining (EDM) techniques. EDM aims to understand student behavior, enhance teaching processes, identify learning patterns, and personalize content. It aids in performance analysis, helping struggling students and guiding teaching adjustments. The study proposes an educational dashboard for analyzing Intelligent Tutoring System (ITS) data, specifically in algebra teaching. Using decision tree algorithm to extract insights from student interactions. The developed web dashboard organizes and visualizes student performance data, aiding monitoring, decision-making, communication, and transparency. Educational dashboards enhance decision-making, data analysis, and communication, benefiting both students and the educational system's performance.