Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Computers as tutors: solving the crisis in education
Computers as tutors: solving the crisis in education
Artificial Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A Web-Based Intelligent Tutoring System for Computer Programming
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies
Intelligent tutoring systems: new challenges and directions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
IEEE Transactions on Education
An intelligent tutoring system for circuit analysis
IEEE Transactions on Education
Turbo decoding as an instance of Pearl's “belief propagation” algorithm
IEEE Journal on Selected Areas in Communications
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Intelligent Tutoring Systems (ITS) could provide an excellent one-on-one support to improve students' conceptual understanding. The structure of a traditional ITS encompasses four modules: the knowledge module, the student module, the instructional module, and the presentation module. In our paper, that structure has been modified to improve system performance. The modifications that we added to the traditional structure were the Knowledge Manipulation Module and the Reporting Module. The reporting module is created to facilitate briefing each student's learning status to different instructors who can see the result of their pedagogical strategies as the system assesses and tutors each student. Accordingly, using the knowledge manipulation module the instructor can add, modify, delete, and edit any quiz question or lecture content. These two new introduced modules are expected to improve the performance of the intelligent tutoring systems and are considered to be one of the major contributions in the current proposed work. A case study is being implemented to show the impact of the designed system on students' understanding. Several sessions of professional development workshops are being planned for faculties who are interested in improving their students' understanding using the developed tool.