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==Topics== Topics of interest to the conference include but are not limited to. *Modeling student and group interaction for guidance and collaborative problem-solving. *Deriving representations of domain knowledge from data. *Modeling real-world problem-solving in open-ended domains. *Detecting and addressing students’ affective and emotional states. *Informing data mining research with educational theory. *Developing new techniques for mining educational data. *Data mining to understand how learners interact in formal and informal educational contexts. *Modeling students’ affective states and engagement with multimodal data. *Synthesizing rich data to inform students and educators. *Bridging data mining and learning sciences. *Applying social network analysis to support student interactions. *Legal and social policies to govern EDM. *Developing generic frameworks, techniques, research methods, and approaches for EDM. *Closing the loop between EDM research and educational outcomes to yield actionable advice. *Automatically assessing student knowledge.
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