From the October-December 2013 issue
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training
By Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo, André Mayers, and Usef Faghihi
To assist learners during problem-solving activities, an intelligent tutoring system (ITS) has to be equipped with domain knowledge that can support appropriate tutoring services. Providing domain knowledge is usually done by adopting one of the following paradigms: building a cognitive model, specifying constraints, integrating an expert system, and using data mining algorithms to learn domain knowledge. However, for some ill-defined domains, each single paradigm may present some advantages and limitations in terms of the required resources for deploying it, and tutoring support that can be offered. To address this issue, we propose using a multiparadigm approach. In this paper, we explain how we have applied this idea in CanadarmTutor, an ITS for learning to operate the Canadarm2 robotic arm. To support tutoring services in this ill-defined domain, we have developed a multiparadigm model combining: 1) a cognitive model to cover well-defined parts of the task and spatial reasoning, 2) a data mining approach for automatically building a task model from user solutions for ill-defined parts of the task, and 3) a 3D path-planner to cover other parts of the task for which no user data are available. The multiparadigm version of CanadarmTutor allows providing a richer set of tutoring services than what could be offered with previous single paradigm versions of CanadarmTutor.
Editorials and Announcements
- Get Your Journals as eBooks for Free
- TLT celebrates its 5th anniversary
- eBooks of issues of TLT can now be downloaded from the Computer Society Digital Library
- Open access is now available for all 2008-2012 Issues of TLT
- Editorial (Oct-Dec 2013)
- Editorial: A Message from the Editorial Team and an Introduction to the July-September 2013 Issue
- EIC Editorial and Introduction of New Associate Editors (April-June 2013)
- Editorial: A Message from the Editorial Team and an Introduction to the January-March 2013 Issue (Jan-March 2013)
- EIC Team Farewell and New EIC Team Introduction (Jan-March 2013)
- Editorial (Oct-Dec 2012)
- EIC Editorial (July-Sept 2012)
- EIC Editorial and Introduction of New Associate Editors (April-June 2012)
- Editorial (Jan-March 2012)
- Special Section on Learning Systems for Science and Technology Education (July-Sept 2013)
- Special Section on Semantic Technologies for Learning and Teaching Support in Higher Education (April-June 2012)
- Special Issue on Intelligent and Innovative Support Systems for CSCL (Jan-Mar 2011)
Call for Papers
- Special Issue on Seamless, Ubiquitous, and Contextual Learning (PDF)
Deadline: April 30, 2014
- Ongoing call for papers for TLT
Access recently published TLT articles
Subscribe to the RSS feed of latest TLT content added to the digital library.
Sign up for the Transactions Connection newsletter.
IEEE Transactions on Learning Technologies is a joint publication of the IEEE Computer Society and the IEEE Education Society
IEEE Transactions on Learning Technologies is Indexed in ISI.
IEEE Transactions on Learning Technologies (TLT) is an archival journal published quarterly using a delayed open access publication model. TLT covers research on such topics as Innovative online learning systems, Intelligent tutors, Educational software applications and games, and Simulation systems for education and training.
Dr. Peter Brusilovsky
Dr. Mike Sharples