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Integrating Personalized Learning into Online Education through Content Aggregation, Data Mining, and Reinforcement Learning
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Help or Hinder? Evaluating Fairness Metrics and Algorithms in Visualization Systems for Consensus Ranking
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AI-Enabled Classroom Observation: Do Data Visualizations Help Teachers Identify Attention in Classroom Video Review?
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Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
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Deep Multiple-Instance Learning for Stable Attribute Classification in Classroom Video
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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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Educational Data Mining toward Personalized Tutoring: Exploration of Facial Behaviors, Thermal Comfort, and Relevant Content Search
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An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Compositional Embeddings and Their Applications in Speaker Diarization
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