Feb. 6, 2024, 5:44 a.m. | H. Toba Y. T. Hernita M. Ayub M. C. Wijanto

cs.LG updates on arXiv.org arxiv.org

Online discussion forums are widely used for active textual interaction between lecturers and students, and to see how the students have progressed in a learning process. The objective of this study is to compare appropriate machine-learning models to assess sentiments and Bloom\'s epistemic taxonomy based on textual comments in educational discussion forums. Our proposed method is called the hierarchical approach of Bloom-Epistemic and Sentiment Analysis (BE-Sent). The research methodology consists of three main steps. The first step is the data …

analysis bloom classification course cs.cl cs.cy cs.lg educational hierarchical machine process sentiment sentiment analysis students study taxonomy textual

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