Latest news:

Jul 5, 2014
Category: General
Posted by: admin

The first keynote speaker of EDM 2015 has been confirmed: Professor George Siemens, Executive Director, Learning Innovation & Networked Knowledge (LINK) Research Lab, University of Texas Arlington; Co‐founder and President of SoLAR, Society for Learning Analytics Research.

Feb 28, 2014
Category: General
Posted by: admin
A selection of accepted papers (both from conference and workshops) will be invited to extend their submission for a special issue in the Journal of Educational Data Mining (JEDM).
Sep 23, 2013
Category: General
Posted by: admin
The EDM website is now live.

Organized by the International Educational Data Mining Society (IEDMS).

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Follow @edm2015
Use #EDM2015Madrid

RT @AunCLICdelasTIC: Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 07:16:51
Manifesto for Accessible User Experience http://t.co/g13NIWGV1x via @wordpressdotcom
2015-07-10 05:44:34
RT @AunCLICdelasTIC: Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 04:48:32
Una introducción a la minería de datos educativos http://t.co/8IbmeIam4j @AunCLICdelasTIC @carlosTls2014 #EDM2015Madrid
2015-07-10 03:51:27
I’m a miner… of educational data (Spanish) http://t.co/vKJVPewmrG @AunCLICdelasTIC @carlosTls2014 #EDM2015Madrid http://t.co/Cl2X4ssusS
2015-07-10 03:47:42
RT @AunCLICdelasTIC: Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 02:57:34
Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 02:02:54
RT @dgasevic: Slides of #EDM2015Madrid keynote: Personal Learning Graphs (PLeG) by @gsiemens, @dgasevic, @BakerEDMLab http://t.co/yL3zzati…
2015-07-02 10:10:16
Back from Spain (#EDM2015Madrid), stopping by the @TutorGen team at #ISTE2015, leave for Brazil on Friday. https://t.co/4oxoNI7QKC
2015-07-01 15:29:21
RT @peterpaws: Slides now posted for: A Framework for Multifaceted Evaluation of Student Models http://t.co/mQ5FEJnKdZ #paper_164 #aied2015
2015-07-01 08:27:57


Industry panel: The Future of Practical Applications of EDM at Scale

Sunday, June 28, 9:00 – 10:10


  • Bror Saxberg, Kaplan Inc.


  • Ryan Baker, Teachers College, Columbia University;
  • John Carney, Carney Labs LLC;
  • Piotr Mitros, edX;
  • John Stamper, CMU and PSLC DataShop.

Abstract: This mixed panel of different professionals working in EDM will be a conversation about increasing the connection between research and real-world applications. What's going on now to scale techniques for use "out there" in the field? What should researchers, funders, regulators, publishers, trainers, schools/universities and others be doing to get ready for practical work? What's in the way that we can usefully start work to address? We'll ask the audience to engage in this conversation as well - what's in your way to moving work from research environments to practically help learners at scale - and to generate more useable data at scale?

Panel: Ethics and Privacy in EDM

Sunday, June 28, 13:30 – 14:30


  • Taylor Martin, National Science Foundation


  • Dragan Gasevic, University of Edinburgh
  • Zach Pardos, UC Berkeley;
  • Mykola Pechenizkiy, TU Eindhoven;
  • John Stamper, Carnegie Mellon University and Pittsburgh Science of Learning Center DataShop;
  • Osmar Zaiane; University of Alberta.

Abstract: Educational data mining is inherently falls into the category of the so-called secondary data analysis. It is common that data that have been collected for administrative or some other purposes at some point is considered as valuable for other (research) purpose. Collection of the student generated, student behavior and student performance related data on a massive scale in MOOCs, ITSs, LMS and other learning platforms raises various ethical and privacy concerns among researches, policy makers and the general public.This panel is aimed to discuss major challenges in ethics and privacy in EDM and how they are addressed now or should be addressed in the future to prevent any possible harm to the learners. Several experts are invited to discuss the potential and challenges of privacy-preserving EDM, ethics-aware predictive learning analytics, and availability of public benchmark datasets for EDM among others.

Panel: Grand Challenges for EDM and Related Research Areas

Monday, June 29, 10:30 – 12:10


  • Ryan Baker, Teachers College, Columbia University


  • Peter Brusilovsky (UM Inc), School of Information Sciences, Pittsburgh University
  • Dragan Gasevic (SoLAR), Schools of Education and Informatics, University of Edinburgh
  • Neil T. Heffernan (AIED), Department of Computer Science, Worcester Polytechnic Institute
  • Mykola Pechenizkiy (IEDMS), Department of Computer Science, TU Eindhoven
  • Alyssa Wise (ISLS), Faculty of Education, Simon Fraser University

Abstract: Educational data mining (EDM) and Learning analytics are still rather young research areas. The goal of this panel is to share different views on what major challenges researches need to address in EDM, learning analytics and related research areas including but not limited to User modeling, AI in Education, and Learning Sciences. The representatives of the corresponding communities are invited to discuss what grand challenges we should aim to address for the next five years, and which of these challenges are old and which are new, which of them peculiar to one distinct research area and which of them are shared across two or more research areas.