Model Based Systems and Qualitative Reasoning for Intelligent Tutoring Systems

International workshop at ITS 2002

2nd June, 2002, San Sebastian, Spain



General Information

MONET is a European Network of Excellence on Model Based Systems and Qualitative Reasoning (MBS/QR). MONET-2 is the successor of MONET-1 and active since January 2002. Within MONET-2 a task-force focuses on the application of MBS/QR for educational purposes. This task-force is responsible for organizing the workshop at the ITS conference on this theme. An important goal for the workshop is to bring together the researchers interested in this area and discuss the future of Model-Based Systems and Qualitative Reasoning for Educational purposes. The workshop is international and open to participants from all countries (including Non-European). Financial support for travel-expenses is available for European participants who are MONET members.

For further information, contact:

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Workshop goals

The workshop will discuss the use Model Based Systems and Qualitative Reasoning (MBS/QR) for Intelligent Tutoring Systems. The importance of MBS/QR for tutoring and training systems has been indentified by many researchers in the area of Artificial Intelligence in Education. They agree on the necessity for rich, articulate and well indexed simulations to facilitate a communicative interaction between learners and educational software. MBS/QR appears to be appropriate for the implementation of the major functions of intelligent training, help and teaching environments. During this workshop we will further discuss and establish the role and use of MBS/QR for instructional systems. The workshop participants are asked to submit research, review, or position papers on issues related to this theme. The workshop will focus on (but is not limited to) the following main topics:
  1. Use of MBR techniques for realising tutoring and training functions (e.g.: topic generation for explanation and its relation with natural language and/or multimedia presentation; cognitive diagnosis and student modelling in general; curriculum generation techniques; etc.).

  2. MBR techniques usually encompass many details and may therefore turn out to be complex and difficult to manage in learning environments. How can we cope with this problem (e.g. using: assumptions; (A)TMS; aggregation techniques; etc.).

  3. Knowledge visualisation and Multiple representations. How to present information and knowledge on the screen? (what representation forms should be taken; are multiple visualisations required and what from should they take; can multiple representation be drawn from a single simulation or are multiple simulations techniques required? etc.)

  4. Support for the construction of subject matter representation and simulation models (e.g.: model construction tools; library of predefined models; use of ontologies; validation and debugging techniques; enhancing/extending models with learning knowledge by means of compilation, abstraction, chunking; etc.).

  5. MBR by itself is probably insufficient: What does it take in to develop fully operational education systems based on MBR techniques?

  6. There is the preliminary question of what kind of models MBS/QR-in-ITS is concerned with and what is exactly meant by MBR in this context. There is a need for theoretical clarification. The term 'model' and 'model-based' is used rather differently within different research communities and the question here is: What does the notion of model-based mean within the context of intelligent education systems? Contributions to the workshop should discuss ideas, solutions or present work in progress. Contributions can be technical papers and position papers.

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Contributions and schedule


Programme Committee Members

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Deadlines and author instructions

Papers should be submitted electronically.

Papers should be in PDF (MsWord is also acceptable) and not exceed 12 pages (12 points and approximately 5000 words). Each submission must include 1 cover page which should describe:

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Miscellaneous

This is the fifth international workshop in a series of workshops dealing with research on how to use Model-Based Reasoning (MBR) techniques for the construction of education systems. The first workshop was held during the international conference on AI in Education (AIED) in August 1995 in Washington DC (USA) and focused mainly on the use of qualitative reasoning techniques. Other workshops have been held at the international conference on Intelligent Tutoring Systems (ITS) in June 1996 in Montreal (Canada), at the European conference on AI in Education in October 1996 in Lisbon (Portugal) and at the European conference on Artificial Intelligence in August 1998 in Brighton (United Kingdom).

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This page was last modified 14th June, 2002.