Curator 91 (talk | contribs) |
Curator 91 (talk | contribs) |
||
| Line 15: | Line 15: | ||
|Official Website=http://educationaldatamining.org/edm2019/ | |Official Website=http://educationaldatamining.org/edm2019/ | ||
|Submission Link=https://easychair.org/conferences/?conf=edm2019 | |Submission Link=https://easychair.org/conferences/?conf=edm2019 | ||
| + | |DOI=10.25798/s3xv-6a78 | ||
|Type=Conference | |Type=Conference | ||
|Twitter account=@EDM2019MTL | |Twitter account=@EDM2019MTL | ||
Latest revision as of 11:50, 4 August 2023
Deadlines
|
||
| Paper |
|
||
| Submission |
|
||
| Notification |
|
||
| Camera-Ready |
Metrics
Submitted Papers
185
Accepted Papers
64
Venue
Boulevard Robert-Bourassa 777, Montreal, Quebec, Canada
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.
