Share Your Research, Maximize Your Social Impacts
Main Menu
Searching By
PARTNERS
G-EDM 2016 - International Workshop on Graph-based Educational Data Mining (G-EDM 2016)
Topics/Call fo Papers
Graph data has become increasingly prevalent in data-mining and data analysis. Many types of data can be represented naturally as graphs including social network data, log traversal, and online discussions. This data can be used to address open questions such as:
* What path(s) do high-performing students take through
online educational materials?
* What social networks can foster or depress learning?
* Do users of online learning tools behave as we expect them to do so?
* What substructures are commonly found in student-produced diagrams?
* Can we use prior student data to identify students' solution plan, if any?
* Can we use prior student data to provide meaningful hints in
complex domains?
* Can we identify students who are particularly helpful in a course?
* What path(s) do high-performing students take through
online educational materials?
* What social networks can foster or depress learning?
* Do users of online learning tools behave as we expect them to do so?
* What substructures are commonly found in student-produced diagrams?
* Can we use prior student data to identify students' solution plan, if any?
* Can we use prior student data to provide meaningful hints in
complex domains?
* Can we identify students who are particularly helpful in a course?
Other CFPs
- Workshop on Tools and Technologies in Statistics, Machine Learning and Information Retrieval for Educational Data Mining
- International Workshop on Affect, Meta-Affect, Data and Learning (AMADL 2016)
- 9th International Conference on Education Data Mining (EDM 2016)
- Fifth International Workshop on Design, Modeling and Evaluation of Cyber Physical Systems (CyPhy'15)
- 12th International Conference on Intelligent Environments - IE'16
Last modified: 2015-09-08 23:34:20