(mobo import Concept___Event_For_Confident-migrated) |
(mobo import Concept___Events-migrated) |
||
| Line 8: | Line 8: | ||
|City=Montreal | |City=Montreal | ||
|State=Quebec | |State=Quebec | ||
| − | |Country= | + | |Country=Country:CA |
|Paper deadline=2019/03/04 | |Paper deadline=2019/03/04 | ||
|Notification=2019/04/11 | |Notification=2019/04/11 | ||
| Line 28: | Line 28: | ||
|Start Date=2019/07/02 | |Start Date=2019/07/02 | ||
|End Date=2019/07/05 | |End Date=2019/07/05 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
== Topics == | == Topics == | ||
Revision as of 14:04, 6 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.
