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We present a demonstration of REACT, a new Real-time Educational AI-poweredClassroom Tool that employs EDM techniques for supporting the decision-makingprocess of educators. REACT is a data-driven tool with a user-friendlygraphical interface. It analyzes students' performance data and providescontext-based alerts as well as recommendations to educators for courseplanning. Furthermore, it incorporates model-agnostic explanations for bringingexplainability and interpretability in the process of decision making. Thispaper demonstrates a use case scenario of our proposed tool using a real-worlddataset and presents the design of its architecture and user interface. Thisdemonstration focuses on the agglomerative clustering of students based ontheir performance (i.e., incorrect responses and hints used) during an in-classactivity. This formation of clusters of students with similar strengths andweaknesses may help educators to improve their course planning by identifyingat-risk students, forming study groups, or encouraging tutoring betweenstudents of different strengths.

Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool