Oct 28, 2021 · Third, we propose a clustering guided meta-learning-based training that optimizes the prediction model to exploit clusters of frequent patterns ...
Abstract—We study the problem of predicting student knowl- edge acquisition in online courses from clickstream behavior. Motivated by the proliferation of ...
We study the problem of predicting student knowledge acquisition in online courses from clickstream behavior. Motivated by the proliferation of eLearning ...
This work proposes a clustering guided meta-learning-based training that optimizes the prediction model to exploit clusters of frequent patterns in student ...
Oct 28, 2021 · PDF | We study the problem of predicting student knowledge acquisition in online courses from clickstream behavior.
Our methodology for predicting in-video quiz performance is based on three key ideas we develop. First, we model students' clicking behavior via time-series ...
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach ... based approaches to student modeling (e.g., predicting grades based on ...
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Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach Yun-Wei Chu, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew ...
Click-based student performance prediction: a clustering guided meta-learning approach ... prediction via attention-based personalized federated learning. YW Chu ...
Third, we propose a clustering guided meta-learning-based training that optimizes the prediction model to exploit clusters of frequent patterns in student ...