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

Kulkarni, Ajay and Gkountouna, Olga ORCID: 0000-0002-5741-9676 (2021) Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool [Poster]

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Description

We present a demonstration of REACT, a new Real-time Educational AI-powered Classroom Tool that employs EDM techniques for supporting the decision-making process of educators. REACT is a data-driven tool with a user-friendly graphical interface. It analyzes students’ performance data and provides context-based alerts as well as recommendations to educators for course planning. Furthermore, it incorporates model-agnostic explanations for bringing explainability and interpretability in the process of decision making. This paper demonstrates a use case scenario of our proposed tool using a real-world data set, and presents the design of its architecture and user-interface. This demonstration focuses on the agglomerative clustering of students based on their performance (i.e., incorrect responses and hints used) during an in-class activity. This formation of clusters of students with similar strengths and weaknesses may help educators to improve their course planning by identifying at-risk students, forming study groups, or encouraging tutoring between students of different strengths.

Item Type:	Poster
Divisions:	Faculty of Science & Engineering Faculty of Science & Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	06 Jan 2025 09:32
Last Modified:	06 Jan 2025 09:32
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3189389
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