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In this study, we proposed a novel model that integrates semantic information with LDA for educational topic modeling. To validate the effectiveness of our approach, we collected two MOOC datasets for testing purposes. Through an ablation study, we utilized the SC value and CH score as evaluation criteria. The results demonstrated the scientific feasibility and superiority of our method over traditional LDA in the field of educational topic modeling. The innovation of our approach lies in the incorporation of semantic information into the LDA topic model specifically tailored for educational purposes. We further validated the feasibility and effectiveness of our method through performance evaluations. In our future research, we aim to investigate whether the topic model incorporating semantic information can effectively reflect students' cognition and analyze the results at a more granular level. |
IEEE/ICACT20240475 Slide.19
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