OnDiscuss: An Epistemic Network Analysis Learning Analytics Visualization Tool for Evaluating Asynchronous Online Discussions

• URL: http://arxiv.org/abs/2409.00051v1
• Date: Mon, 19 Aug 2024 21:23:11 GMT
• Title: OnDiscuss: An Epistemic Network Analysis Learning Analytics Visualization Tool for Evaluating Asynchronous Online Discussions
• Authors: Yanye Luther, Marcia Moraes, Sudipto Ghosh, James Folkestad,
• Abstract summary: OnDiscuss is a learning analytics visualization tool for instructors that utilize text mining algorithms and Epistemic Network Analysis (ENA) Text mining is used to generate an initial codebook for the instructor as well as automatically code the data. This tool allows instructors to edit their codebook and then dynamically view the resulting ENA networks for the entire class and individual students.
• Score: 0.49998148477760973
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Asynchronous online discussions are common assignments in both hybrid and online courses to promote critical thinking and collaboration among students. However, the evaluation of these assignments can require considerable time and effort from instructors. We created OnDiscuss, a learning analytics visualization tool for instructors that utilizes text mining algorithms and Epistemic Network Analysis (ENA) to generate visualizations of student discussion data. Text mining is used to generate an initial codebook for the instructor as well as automatically code the data. This tool allows instructors to edit their codebook and then dynamically view the resulting ENA networks for the entire class and individual students. Through empirical investigation, we assess this tool's effectiveness to help instructors in analyzing asynchronous online discussion assignments.

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