Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Adapting to intelligence profile in an adaptive educational system
Interacting with Computers
Evaluating Bayesian networks' precision for detecting students' learning styles
Computers & Education
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Universal Access in the Information Society
TEx-Sys model for building intelligent tutoring systems
Computers & Education
User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Interactive Correction and Recommendation for Computer Language Learning and Training
IEEE Transactions on Knowledge and Data Engineering
Supporting Computer Science Curriculum: Exploring and Learning Linked Lists with iList
IEEE Transactions on Learning Technologies
Agent based affective tutoring systems: A pilot study
Computers & Education
Intelligent tutoring with natural language support in the BEETLE II system
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
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International Journal of Learning Technology
Persuasive dialogues in an intelligent tutoring system for medical diagnosis
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
A conversational intelligent tutoring system to automatically predict learning styles
Computers & Education
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Enhancing student learning through hypermedia courseware andincorporation of student learning styles
IEEE Transactions on Education
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
IEEE Transactions on Education
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IEEE Transactions on Education
Adaptive tutoring in an intelligent conversational agent system
Transactions on Computational Collective Intelligence VIII
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The focus of computerised learning has shifted from content delivery towards personalised online learning with Intelligent Tutoring Systems (ITS). Oscar Conversational ITS (CITS) is a sophisticated ITS that uses a natural language interface to enable learners to construct their own knowledge through discussion. Oscar CITS aims to mimic a human tutor by dynamically detecting and adapting to an individual's learning styles whilst directing the conversational tutorial. Oscar CITS is currently live and being successfully used to support learning by university students. The major contribution of this paper is the development of the novel Oscar CITS adaptation algorithm and its application to the Felder-Silverman learning styles model. The generic Oscar CITS adaptation algorithm uniquely combines the strength of an individual's learning style preference with the available adaptive tutoring material for each tutorial question to decide the best fitting adaptation. A case study is described, where Oscar CITS is implemented to deliver an adaptive SQL tutorial. Two experiments are reported which empirically test the Oscar CITS adaptation algorithm with students in a real teaching/learning environment. The results show that learners experiencing a conversational tutorial personalised to their learning styles performed significantly better during the tutorial than those with an unmatched tutorial.