(mobo import Concept___Events-migrated) |
m (Text replacement - "|State=" to "|Region=") |
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Line 7: | Line 7: | ||
|Twitter account=@EDM2019MTL | |Twitter account=@EDM2019MTL | ||
|City=Montreal | |City=Montreal | ||
− | | | + | |Region=Quebec |
|Country=Country:CA | |Country=Country:CA | ||
|Paper deadline=2019/03/04 | |Paper deadline=2019/03/04 |
Revision as of 09:19, 15 September 2022
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.