The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions.

Recently, the increase in dissemination of interactive learning environments, learning management systems, intelligent tutoring systems, and nal hypermedia systems has allowed the collection of huge amounts of data. The increase in instrumented educational software, as well as state databases of student test scores, has also created large repositories of data reflecting how students learn.

A popular and effective way of discovering new knowledge from large and complex data sets is data mining.

The EDM conference focuses on computational approaches for using those data to address important educational questions. The broad collection of research disciplines ensures cross fertilization of ideas, with the central questions of educational research serving as a unifying focus.

Topics of interest:

• Generic frameworks, methods and approached for EDM
• Learner or student modeling
• Mining assessment data
• Mining browsing or interaction data
• Mining the results of educational research (e.g. A/B tests)
• Educational process mining
• Data-driven adaptation and personalization
• Improving educational software
• Evaluating teaching interventions
• Emotion, affect, and choice
• Integrating data mining and pedagogical theory
• Improving teacher support
• Replication studies
• Best practices for adaptation of data mining, information retrieval, recommender system, opinion mining, and question answering techniques to educational context