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Dagstuhl Seminar 03191

Conceptual and Technical Aspects of Electronic Learning

( May 04 – May 09, 2003 )

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Please use the following short url to reference this page: https://www.dagstuhl.de/03191

Organizers



Summary

Electronic learning and in particular web-based learning is a topic that has been at-tracting various communities for many years already. Both in Europe and overseas we see it becoming a major industry and applied both in educational institutes (such as schools and universities) and in companies for the initial or continuous training of employees. E-learning initiatives are increasingly being implemented to support educa-tion and workforce enhancement. It is estimated that in the United States alone the e-learning “industry” will grow from 2.3 billion dollars in 2001 to 23 billion in 2004; Western Europe has one of the highest per capita spending rates on continuing edu-cation and training. The online-learning share of training will grow from 20% to 40% against traditional classroom methods. Beyond that, universities are getting “virtual” and are discovering e-learning as a central paradigm for life-long education and learning.

Besides all the hype that the topic has recently received, there are aspects in the field which can already be considered “mature” (e.g., the decomposition of a learning plat-form into an authoring system, a learning management system, and a run-time system), standardization is underway (e.g., LOM, SCORM), and there are various conceptual issues that are worth considering in appropriate depth: First, e-learning, although fun-damentally based on the use of computers, originally emerged in communities other than computer science. Indeed, e-learning has its roots in such fields as performance im-provement, education, psychology, and others for which the use of a computer has long been of secondary importance, and for which even in times of the Web a computer re-mains merely one tool among others. Second, it is well recognized that e-learning, when applied in a company, can yield more than just learning effects; it can also contribute to knowledge preservation and thus to the development of an organizational memory. Third, there is a technological side of the picture which is where computer scientists can mostly contribute: For example, databases are used for storing, retrieving, composing, and configuring learning content, XML is under discussion as an exchange format for such standards like IMS and SCORM (as schema or DTD specification language or in new markup languages such as LMML or EML), and the processes that are involved in an e-learning scenario are sometimes already modelled as workflows.

A successful implementation of an e-learning system relies heavily on building the appropriate infrastructure and selecting the proper tools and technologies that work for the learner and the organization. Thus, it is also worth observing recent products and services, delivery methods, standards, and systems used today. Developing courses for e-learning requires more than technology and creativity. Is the particular topic at hand suitable for remote learning? What are the right electronic elements for the topic and for a student? It is reasonable to explore how to design effective course content, follow up with useful assessment and tracking approaches, and to learn to foster ongoing learner and teacher support and match learning styles with various delivery methods. It is also important to match the tools with the goals of the e-learning environment, recognizing that goals and outcomes can vary, e.g., whether the system is designed to broadcast information only, provide an individual stand-alone learning environment, or create a learning community of collaborative peers.

Given these premises, the seminar brought together a small, but nicely composed collection of people from computer science (databases, knowledge representation, al-gorithms, multimedia etc.) with experience, ongoing projects, or proven interests in e-learning as well as web-based learning, and blended these people with participants with less technological focus such as library sciences. As a result, talks were given on a wide range of topics that clearly showed the span which the field is currently having. The talks were as follows (in chronological order):

  1. Rudi Studer: E-Learning and the Semantic Web
  2. Hartmut Schmeck: Scenarios for Computer-Assisted Instruction
  3. Radha Gupta: Web Teaching of Computing for Business
  4. Peter Westerkamp: xLx a Platform for Graduate-Level Exercises
  5. Gottfried Vossen: Learning Objects, Processes, Workflows: A Technical View of E-Learning
  6. Jörg Desel: Activities of the GI SIG on E-Learning
  7. Thomas Ottmann: Presentation Recording
  8. Ralf Klamma: Multimedia Semantics for Electronic Learning Environments
  9. Carsten Ullrich: ActiveMath
  10. Wasim Sadiq: Workflow-Driven E-Learning Services
  11. Stephan Diehl: Collaborative Learning and Distributed Experimentation
  12. Christopher Hoadley: Design-based Research and Distributed Cognition in Socio- Technical Systems for Learning
  13. Wolfgang Nejdl: E-Learning 2003 ff
  14. Jörg Desel: Pros (and Cons) of E-Learning Approaches in Universities
  15. Caroline Haythornthwaite: Social Networks and Distance Learners
  16. Daniel Sommer: Quality Information Systems for E-Learning Applications
  17. Gerald Friedland, Lars Knipping: Electronic Chalk
  18. Peter Westerkamp: E-Learning as a Web Service
  19. Victor Pankratius: E-Learning Grids
  20. Cornelia Seeberg: Courses based on Modules
  21. Martin Stein: VISUM
  22. Kirsten Keferstein: Process-based Learning Object Management
  23. Rob Koper: Learning Networks and Standardization Issues
  24. Bernd Krämer: Education a la Carte

List of Talks with Documents

Due to the variety of e-learning related aspects that could be presented and discussed, the week served its purpose of crossing borders very well. In spite of the small number of participants, lots could be learned from each other, and fruitful clarifications be obtained. It remains to be seen what benefits such an open forum can drive home in the years to come.


Participants
  • Jörg Desel (KU Eichstätt-Ingolstadt, DE)
  • Stephan Diehl (KU Eichstätt/Ingolstadt, DE) [dblp]
  • Gerald Friedland (FU Berlin, DE) [dblp]
  • Radha Gupta (Memorial University of Newfoundland, CA)
  • Caroline Haythornthwaite (University of Illinois at Urbana Champaign, US)
  • Christopher Hoadley (Pennsylvania State University, US)
  • Kirsten Keferstein (Goethe-Universität Frankfurt am Main, DE)
  • Ralf Klamma (RWTH Aachen, DE)
  • Lars Knipping (FU Berlin, DE)
  • Rob Koper (Open University - Heerlen, NL) [dblp]
  • Bernd Krämer (FernUniversität in Hagen, DE)
  • Carolin Letz (Universität Münster, DE)
  • Wolfgang Nejdl (Leibniz Universität Hannover, DE) [dblp]
  • Andreas Oberweis (Goethe-Universität Frankfurt am Main, DE) [dblp]
  • Thomas Ottmann (Universität Freiburg, DE)
  • Victor Pankratius (Universität Münster, DE) [dblp]
  • Raul Rojas (FU Berlin, DE) [dblp]
  • Wasim Sadiq (SAP Research Center - Brisbane, AU)
  • Hartmut Schmeck (KIT - Karlsruher Institut für Technologie, DE) [dblp]
  • Cornelia Seeberg (TU Darmstadt, DE)
  • Daniel Sommer (KIT - Karlsruher Institut für Technologie, DE)
  • Martin Stein (Universität Münster, DE)
  • Wolffried Stucky (KIT - Karlsruher Institut für Technologie, DE) [dblp]
  • Rudi Studer (KIT - Karlsruher Institut für Technologie, DE) [dblp]
  • Carsten Ullrich (Universität des Saarlandes, DE)
  • Krishnamurthy Vidyasankar (Memorial University of Newfoundland, CA)
  • Gottfried Vossen (Universität Münster, DE) [dblp]
  • Peter Westerkamp (Universität Münster, DE)