[edm-announce] Call for Workshop/Tutorial submissions for Educational Data Mining 2017

  • From: Stephen Fancsali <sfancsali@xxxxxxxxx>
  • To: edm-announce@xxxxxxxxxxxxx
  • Date: Tue, 24 Jan 2017 11:43:56 -0500

[on behalf of Ran Liu]

CALL FOR WORKSHOP & TUTORIAL PROPOSALS

10th International Conference on Educational Data Mining in Wuhan, China
(JUNE 25 â€“ 28, 2017)
Workshops will be held on June 28, 2017

* * * * *
Submission Deadlines

WORKSHOPS: February 21st, 2017
Workshops describe an emerging subfield and the plan organizers have to
build growth in this new area.

TUTORIALS: April 1st, 2017
Tutorials describe a tool/method, the organizers and their expertise, and a
plan for attendees to learn it in a hands-on way.

More submission information can be found at
http://educationaldatamining.org/EDM2017/submission/.

* * * * *
Topics of interest to the conference include, but are not limited to:



   - Closing the loop between education data research and educational
   outcomes
   - Bridging EDM with learning analytics and learning sciences/theory
   - Promoting replicability and progress through open data and code sharing
   - Detecting and addressing students’ affective and emotional states
   - Data mining with emerging pedagogical environments such as educational
   games, MOOCs, and exploratory learning environments
   - EDM in complex environments such as educational games, programming,
   and exploratory learning environments
   - Deriving representations of domain knowledge from data
   - Multi-modal learning environments and sensor analysis
   - Using EDM methods to provide support for teachers and other
   stakeholders
   - Automated feedback, grading, and assessment of student knowledge
   - Best practices for adapting the state-of-the-art data mining
   approaches to the K-12 or higher-ed domains
   - Data mining in social and collaborative learning
   - Evaluation of the efficacy of curriculum and interventions
   - Exploration of policy issues and approaches to the lawful and ethical
   capture and use of educational data traces

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