-------- Original-Nachricht -------- Betreff: [computational.science] Workshop on Bayesian Networks in Intelligent Tutoring (BANIT 2006): One-Week Reminder Datum: Tue, 28 Mar 2006 08:06:00 +0800 Von: Chao-Lin Liu chaolin@nccu.edu.tw Antwort an: chaolin@nccu.edu.tw Firma: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com Referenzen: 1143492645.15224.B9015053@mail.ntust.edu.tw
Dear Professors and Researchers,
Please be reminded that the due date for BANIT 2006 is April 3rd. Details about BANIT 2006 follow.
Regards, Chao-Lin Liu ================================================================== CALL FOR PAPERS
Workshop on Bayesian Networks in Intelligent Tutoring (BANIT 2006) The Eighth International Conference on Intelligent Tutoring Systems Jhongli, Taiwan, June 26-30, 2006
ITS 2006: http://www.its2006.org, BANIT 2006: http://www.lcc.uma.es/BANIT06/
(due date: APRIL 3, 2006)
Personalization and adaptivity are invaluable features in modern intelligent tutoring systems. However, it is not easy for software to decide how to adapt its performance to meet individual student's needs, partially because there are rare deterministic correspondences between what we observe and what we need to know for making the best decisions for intelligent tutoring. For instance, students can make inadvertent and intentional mistakes while they are competent in the subject matter being tested. It is also difficult to infer students' learning needs by observing how they explore educational web sites. Building operational models that can capture and reason about the uncertainty is thus important for intelligent tutoring that aims at meeting individual student's needs.
Bayesian networks offer a great formalism for modeling under uncertainty, and have been adopted in many applications including intelligent tutoring in the past decade or so. This satellite workshop of the Eighth International Conference on Intelligent Tutoring Systems aims at providing a forum for interested researchers and practitioners to discuss and share methodologies and applications of Bayesian networks in all aspects of intelligent tutoring.
Interested topics thus include, but are not limited to, how we can learn Bayesian networks of interest either from experts, data, or both; how we apply Bayesian networks to modeling major participants, including students and teachers, in the learning processing; how the models can help us choose pedagogical activities, including student assessment and course material presentation; and practical issues such as reusability, maintenance, and scalability of the resulting tutoring assistance systems.
====== Topics ====== The main purpose of this workshop is to attract researchers who are interested in methodologies and applications of Bayesian networks and influence diagrams (also known as decision networks) for intelligent tutoring. Topics include, but are not limited to, the following subject matters.
* Building networks: using expert's opinion, learning from data, theoretical models, etc. * User modeling: diagnosis of knowledge/skills, multi-layered models, affective computing, emotional monitoring, etc. * Task selection algorithms: curriculum sequencing, testing knowledge, problem selection, etc. * Displaying results to users: inspectable models, open models, etc. * Reusability, maintenance and upgrade of systems * Practical barriers to adoption
====== Format ====== The workshop will consist of paper presentation, poster session, and discussions.
====== Submission ====== Those who wish to attend are welcomed to submit papers in one of the following three forms. All accepted papers will be included in the workshop proceedings.
* a long paper of up to eight pages * a short paper of up to four pages for the poster session * a position paper of up to two pages
Submissions are accepted in PDF format only, using the provided formatting guidelines available at the workshop web site at http://www.lcc.uma.es/BANIT06/. If you encounter difficulties in submitting papers, please contact the workshop organizers Eva Millan eva@lcc.uma.es and Chao-Lin Liu chaolin@nccu.edu.tw.
====== Publication ====== All accepted articles will be included in the workshop proceedings that will be printed by the ITS main conference. We are invited to publish selected workshop papers in a book that will be included in the Studies in Computational Intelligence series of Springer. The terms are being finalized.
====== Program Committee ====== Russell G. Almond, Educational Testing Service, USA Cory Butz, University of Regina, Canada Kinshuk, Massey University, New Zealand Chao-Lin Liu, National Chengchi University, Taiwan Heather Maclaren, University of British Columbia, Canada Eva Millan, University of Malaga, Spain Antonija Mitrovic, University of Cantebury, New Zealand Chas Murray, Carnegie Learning, Inc., USA Jose L. Perez-de-la-Cruz, University of Malaga, Spain Jim Reye, Queensland University of Technology, Australia Jiri Vomlel, Academy of Science, Czech Republic Diego Zapata, Educational Testing Service, USA
====== Important Dates ====== * April 3, 2006: Submission deadline * April 20, 2006: Acceptance notification * May 5, 2006: Final version deadline * June 27, 2006: workshop date
====== Additional Information ====== Additional information and updates about the workshop are posted at http://www.lcc.uma.es/BANIT06/
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資訊學門Ⅱ，B9015053@mail.ntust.edu.tw
2006-3-28
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------------------------------------------------------------------------- Department of Computer Science http://faculty.nccu.edu.tw/chaolin/ National Chengchi University