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G-EDM 2016 - International Workshop on Graph-based Educational Data Mining (G-EDM 2016)

Date2016-06-29 - 2016-07-02

Deadline2016-02-14

VenueRaleigh, USA - United States USA - United States

Keywords

Websitehttps://educationaldatamining.org/EDM2016

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?

Last modified: 2015-09-08 23:34:20