International Workshop on Applying Data Mining in e-Learning (ADML'07)

as part of the 2nd European Conference on Technology Enhanced Learning (EC-TEL 2007)

Crete, Greece
September 17-20, 2007

Workshop Schedule is available online
Deadline for sending camera-ready copies is extended: August 13, 2007
Paper submission deadline extended: June 25, 2007
Please distribute 2nd CFP among interested students and colleagues (in pdf (here) and in txt (here))


The workshop is related to the series of Educational data mining workshops organized in conjunction with the AAAI'05, AIED'05, ITS'06, AAAI'06, AIED'07, UM'07, and ICALT'07 conferences. The goal of this workshop is to bring together researchers in Data Mining, e-Learning, Intelligent Tutoring Systems and Adaptive Educational Hypermedia to discuss the opportunities of applying data mining to e-learning systems. This mix of data mining, e-learning, tutoring system and adaptive hypermedia researchers is also reflected in the program committee.

The ADML'07 workshop will provide an informal interactive setting for participants to address current methodological, research, and technical issues related to adaptation and personalization in e-learning. We intend to have a half-day or full-day workshop with 8-12 presentations followed by a panel discussion.

The main questions addressed are the following:

  • "How can data mining be applied to analyze data generated by e-learning systems?",
  • "How can the information obtained by data mining be applied to improve adaptation and personalization?", and
  • "How can we measure/assess the differences/improvements from one e-learning system to another? I.e., what methodology should be used for evaluation of e-learning systems?"


Recently, the increase in the dissemination of interactive learning environments has enabled the collection of huge amounts of data. A popular and effective way of discovering new knowledge from large and complex data sets is data mining. As such, the ADML workshop invites papers that study how to apply data mining to analyze data generated by learning systems or experiments, and also how discovered information can be used to improve adaptation and personalization of the learning environment. Interesting problems data mining can help to solve are: what are common types of learning behavior (e.g. in online systems), how to predict the knowledge and interests of a user based on past behavior, how to partition a heterogeneous group of users into homogeneous clusters, etc.

The ADML'07 workshop is organized in conjunction with the EC-TEL'07 conference. It aims at providing a focused international forum for researchers to present, discuss and explore the state of the art of applying data mining in e-learning and of evaluating the usefulness of discovered patterns for adaptation and personalization. The workshop will also outline promising future research directions. The ADML'07 workshop invites submissions addressing all aspects of applying data mining for adaptation and personalization in e-learning systems. The non-exhaustive list of topics of interest includes:

  • methods and approached for data mining in e-learning,
  • characteristics of educational data and how to deal with them,
  • learning browsing behavior; e.g., searching for patterns in log-data from (time-series) experiments,
  • data mining for user modeling,
  • data mining for predicting user (potentially changing) interests,
  • mining differences in user's learning behavior (e.g. between two systems),
  • mining data from A/B tests,
  • application of discovered patterns for personalization and adaptation,
  • description of applications, and
  • description of case studies and experiences.

The workshop invites papers reporting experiences, case studies, surveys, reflections and comparisons. The submission format is on of the following: a full paper of up to 10 pages, a short paper of up to 5 pages, or an abstract for a poster of up to 3 pages.


June 25, 2007(Extended deadline) Submission of papers (LNCS style, 10-pages maximum)
July 15, 2007Notification of acceptance
August 13, 2007(Extended deadline) Submission of final camera-ready papers (LNCS style, 10-pages maximum)
September 17-18, 2007Workshop days at EC-TEL 2007


All submissions will be handled electronically. Please submit your contribution (up to 10 pages) before the submission deadline (June 25, 2007) to the ADML'07 workshop chairs by e-mail: Each submission will be reviewed by at least three members of the workshop programme committee members. All accepted workshop papers (up to 10 pages for full papers) will be published as EC-TEL on-line workshop proceedings as part of the CEUR Workshop proceedings series. is a recognized ISSN publication series, ISSN 1613-0073. For camera-ready format instructions, please see "For Authors" instructions at Authors of the selected papers will be asked to prepare revised and substantially extended papers for inclusion to a post-conference book (approval pending).


Cristobal RomeroCordoba University, Spain
Mykola Pechenizkiy Eindhoven University of Technology, the Netherlands
Toon Calders Eindhoven University of Technology, the Netherlands
Silvia R. Viola U. Politecnica delle Marche and U. for Foreigners, Italy


SungMin BaeHanbat National University, South Korea
Ryan BakerUniversity of Nottingham, UK
Joseph E. BeckCarnegie Mellon University, USA
Karin BeckerQuality Knowledge Inc., Brasil
Mária BielikováSlovak University of Technology, Slovakia
Raquel M. Crespo GarciaCarlos III University of Madrid, Spain
Rebecca CrowleyUniversity of Pittsburgh, USA
Paul De BraEindhoven University of Technology, the Netherlands
Elena GaudiosoUniversidad Nacional de Educación a Distanzia, Spain
Sabine GrafVienna University of Technology, Austria
Wilhelmiina HämälainenUniversity of Joensuu, Finland
Judy KayUniversity of Sydney, Australia
Agathe MerceronUniversity of Applied Sciences Berlin, Germany
Maria MilosavljevicMacquarie University, Sydney, Australia
Behrouz Minaei-BidgoliIran University of Science and Technology, Iran
Enric MorUniversitat Oberta de Catalunya, Spain
Claus PahlDublin City University, Ireland
Amy SollerUSA
Alexey TsymbalSiemens AG, Germany
Alfredo VellidoUniversitat Politècnica de Catalunya, Spain
Sebastián VenturaCordoba University, Spain
Fen-Hsu WangMing Chuan University, Taiwan
Tiffany Ya TangHong Kong Polytechnic University, Hong Kong

For further questions, please contact