User Modeling and User-Adapted Interaction
Curriculum Sequencing in a Web-Based Tutor
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Using Effective Reading Speed to Integrate Adaptivity into Web-Based Learning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Incorporating Learning Characteristics into an Intelligent Tutor
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
'First Aid for You': Getting to Know Your Learning Style Using Machine Learning
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Adapting to intelligence profile in an adaptive educational system
Interacting with Computers
User Modeling and User-Adapted Interaction
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Using multiple intelligence informed resources in an adaptive system
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Generating a two-phase lesson for guiding beginners to learn basic dance movements
Computers & Education
An Adaptive Course Generation Framework
International Journal of Distance Education Technologies
Proceedings of the first ACM conference on Learning @ scale conference
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This paper discusses techniques for adapting the content in an online lecture system for a specific user. A two pass method is used: 1) determine the appropriate level of difficulty for the student and 2) consider the student's learning style preferences. A simple grading scheme is used to determine the student's knowledge and a Naïve Bayes Classifier is used to reason about the student's preferences in terms of explanations, examples, and graphics. A technique for gathering and using population data is also discussed.