The EDM conference is a leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning processes . These data sets may come from the traces that students leave when they interact with learning management systems, interactive learning environments, intelligent tutoring systems, educational games or when they participate in a data-rich learning context. The types of data therefore range from raw log files to eye-tracking devices and other sensor data.

Official App for EDM 2017

The official App for EDM 2017 is Whova. All updates of EDM2017 (schedule, logistics, etc.) will be updated in real time. Click here to download.


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

  • Closing the loop between education data research and educational outcomes
  • Deriving representations of domain knowledge from data
  • Detecting and addressing students’ affective and emotional states
  • Integrating data mining and educational theory
  • Data mining with emerging pedagogical environments such as educational games, MOOCs, and exploratory learning environments
  • Multi-modal learning environments and sensor analysis
  • Using EDM methods to provide support for teachers and other stakeholders
  • Bridging EDM and Learning Analytics
  • Bridging EDM with pedagogical theory, learning sciences, and learning theory
  • Mining user-system interaction logs, automated feedback, and grading
  • Best practices for adapting the state of the art data mining approaches to the educational domain
  • Data mining in social and collaborative learning
  • Generic frameworks, techniques, research methods, and approaches for EDM
  • Automatic assessment of student knowledge
  • Evaluation of the efficacy of curriculum and interventions