rosewang2008/sight
Proceedings of Innovative Use of NLP for Building Educational Applications 2023: SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
This project provides a comprehensive dataset of student comments and lecture transcripts from higher education math courses. It offers a structured approach to understand and categorize student feedback, helping educators identify common themes and areas for instructional improvement. The dataset and associated methods are designed for researchers or instructional designers who want to analyze large volumes of student feedback efficiently.
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Use this if you are an educational researcher or instructional designer looking to systematically analyze large volumes of unstructured student feedback from online lecture environments.
Not ideal if you need real-time, personalized feedback analysis for an ongoing course, as this project focuses on historical, large-scale data analysis.
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10
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3
Language
Python
License
MIT
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Last pushed
Jul 21, 2024
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