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RAOCSL: a BERT-based strategy for identifying learner confusion under class imb...

Zhao, Tongyu; Gao, Jiaying; Feng, Yu; Zu, Yatong; Tavares, Adriano; Gomes, Tiago Manuel Ribeiro; Pinto, Sandro; Xu, Hao

Understanding and identifying the nature of learner confusion is important for online learning platforms. In this study, we address this problem by analyzing forum posts from large-scale online courses. However, due to the large volume of comments and frequent interactions, confusion posts are often overlooked. Existing methods and models, while capable of detecting confusion, typically rely on linguistic featu...


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