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ADML'07

What Workshop
When Sep 18, 2007
from 02:00 pm to 06:00 pm
Where Crete, GR
Contact Name Cristobal Romero
Contact Email cromero
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International Workshop on Applying Data Mining in e-Learning (ADML'07) 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.

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

Please distribute 1st CFP among interested students and colleagues (in pdf (here) and in txt (here))

Draft proceedings


BACKGROUND AND GOALS

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?"


CALL FOR PAPERS

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.


IMPORTANT DATES

June 25, 2007 Submission of papers (LNCS style, 10-pages maximum)
July 15, 2007 Notification of acceptance
August 1, 2007 Submission of final camera-ready papers (LNCS style, 10-pages maximum)
September 17-18, 2007 Workshop days at EC-TEL 2007


SUBMISSION PROCEDURES

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: cromero@uco.es. 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. CEUR-WS.org is a recognized ISSN publication series, ISSN 1613-0073. For camera-ready format instructions, please see "For Authors" instructions at http://www.springer.de/comp/lncs/authors.html Authors of the selected papers will be asked to prepare revised and substantially extended papers for inclusion to a post-conference book (approval pending).


WORKSHOP CHAIRS


WORKSHOP PROGRAMME COMMITTEE (to be enlarged)

  • SungMin Bae, Hanbat National University, South Korea
  • Ryan Baker, University of Nottingham, UK
  • Karin Becker, Quality Knowledge Inc., Brasil
  • Mária Bieliková, Slovak University of Technology, Slovakia
  • Raquel M. Crespo Garcia, Carlos III University of Madrid, Spain
  • Rebecca Crowley, University of Pittsburgh, USA
  • Paul De Bra, Eindhoven University of Technology, the Netherlands
  • Elena Gaudioso, Universidad Nacional de Educación a Distanzia, Spain
  • Sabine Graf, Vienna University of Technology, Austria
  • Wilhelmiina Hämälainen, University of Joensuu, Finland
  • Judy Kay, University of Sydney, Australia
  • Agathe Merceron, University of Applied Sciences Berlin, Germany
  • Maria Milosavljevic, Macquarie University, Sydney, Australia
  • Behrouz Minaei-Bidgoli, Iran University of Science and Technology, Iran
  • Enric Mor, Universitat Oberta de Catalunya, Spain
  • Claus Pahl, Dublin City University, Ireland
  • Amy Soller, Institute for Defense Analyses, USA
  • Alexey Tsymbal, Siemens AG, Germany
  • Alfredo Vellido, Universitat Oberta de Catalunya, Spain
  • Sebastián Ventura, Cordoba University, Spain
  • Fen-Hsu Wang, Ming Chuan University, Taiwan
  • Tiffany Ya Tang, Hong Kong Polytechnic University, Hong Kong

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