EDM 2019: the 12th International Conference on Educational Data Mining
July 2-5, 2019, Montreal, Canada.
Call for Participation
Educational Data Mining in Open-Ended Domains
Educational Data Mining is a leading international forum for high-quality
research that mines data sets to answer educational research questions that
shed light on the learning process. These data sets may originate from a
variety of learning contexts, including learning management systems,
interactive learning environments, intelligent tutoring systems,
educational games, and data-rich learning activities. Educational data
mining considers a wide variety of types of data, including but not limited
to raw log files, student-produced artifacts, discourse, multimodal streams
such as eye-tracking, and other sensor data. The overarching goal of the
Educational Data Mining research community is to better support learners by
developing data-driven understandings of the learning process in a wide
variety of contexts and for diverse learners.
The theme of this year’s conference is EDM in Open-Ended Domains. As EDM
has matured it has increasingly been applied to open-ended and ill-defined
tasks such as writing, design, and collaborative problem solving. And it
has been used in new informal contexts where student actions are at best
semi-structured. For this 12th iteration of the conference we have welcomed
a wide range of research in these areas. This year’s program includes a
large number of high-quality contributions with 22 full papers 42 short
papers and 47 poster contributions.
The program will include three keynote talks by experienced researchers in
Julita Vassileva, University of Saskatchewan: On the Ethics of
Data-Powered Instruction, Recommendation, Persuasion, and Behaviour Change
Steve Ritter, Carnegie Learning: Reconsidering two sigma: Educational
data mining for the complete instructional system.
Michael Mozer, University of Colorado at Boulder:
The program will also include workshops and tutorial demos on:
Building bridges between the Education and the Computing communities,
Reinforcement Learning for Educational Data Mining,
EDM & Games: Leveling Up Engaged Learning with Data-Rich Analytics,
Sharing and Reusing Data and Analytic Methods with LearnSphere,
Causal Discovery with Tetrad in LearnSphere’s Tigris, and
Designing and Developing Open, Pedagogically-Based Predictive Models
using the Moodle Analytics API.
This year’s conference will be hosted by the Polytechnique Montréal and the
Université du Québec a Montréal and will be held at the Plaza Central-Ville
in beautiful Montréal, Canada, during the world famous Jazz Festival so
book your hotels early!
Michel C. Desmarais (Ecole Polytechnique Montreal)
Roger Nkambou (Universite du Quebec a Montreal)
Collin F. Lynch (North Carolina State University)
Agathe Merceron (Beuth Hochschule für Technik Berlin)
Hope to see you all at EDM 2019 in Montreal!