EDM 2015 - The International Conference on Educational Data Mining

The 8th International Conference
on Educational Data Mining
EDM 2015
June 26, 2015 - June 29, 2015
UNED, Madrid, Spain
We invite submissions to the 8th International Conference on Education Data Mining (EDM2015), to be held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain.
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.
EDM 2015 will follow the AIED 2015, 22 - 26 June 2015 that is also organized by UNED in Madrid, Spain. Synergies between both EDM and AIED communities will be supported.
TOPICS OF INTEREST
Topics of interest to the conference include, but are not limited to:
Closing the loop between education data research and educational outcomes
Stealth assessment and evaluating the efficacy of curriculum and interventions
Deriving representations of domain knowledge from data
Detecting and addressing students' affective and emotional states
Integrating data mining and pedagogical theory
Data mining with emerging pedagogical environments such as educational games, MOOCs, and exploratory learning
Multi-modal learning environments and sensor analysis
Providing feedback to teachers, students and other stakeholders generated from EDM methods
Papers that apply a previously used technique to a new domain, or that reanalyze an existing data set with a new technique
Bridging EDM and Learning analytics
Bridging Learning sciencelearning theory and EDM
Monitoring and mining results of automated feedback and grading
Monitoring and mining results of learning resources usage logs
Best practices for adapting the state of the art analytic techniques from data mining information retrieval, recommender systems, social network analysis, opinion mining, auto scoring, and user (learner) modeling to the educational domain
Data mining in social and collaborative learning
Generic frameworks, techniques, research methods and approaches for EDM
Separate calls will follow for tutorial, workshops, interactive events and demos.
Organizing Committee
Conference Chairs: Jesus G. Boticario (UNED), Olga C. Santos (UNED)
Program Chairs: Cristóbal Romero (UCO), Mykola Pechenizkiy (TUE)
Important Dates and contact
See Important Dates page
Questions?: Contact edm2015-AT-dia.uned.es