A vector space model for automatic indexing
Communications of the ACM
Stereotypes, Student Models and Scrutability
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Tailoring Feedback by Correcting Student Answers
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Adaptive Bayesian Networks for Multilevel Student Modelling
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
CLARISSE: A Machine Learning Tool to Initialize Student Models
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Using Vector-Space Model in Adaptive Hypermedia for Learning
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Dynamic student modelling in an intelligent tutor for LISP programming
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
The Effect of Providing Error-Flagging Support During Testing
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Error-flagging support and higher test scores
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Error-Flagging support for testing and its effect on adaptation
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Review: Student modeling approaches: A literature review for the last decade
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
We propose an associative mechanism for adaptive generation of problems in intelligent tutors. Our evaluations of the tutors that use associative adaptation for problem sequencing show that 1) associative adaptation targets concepts less well understood by students; and 2) associative adaptation helps students learn with fewer practice problems. Apart from being domain-independent, the advantages of associative adaptation compared to other adaptive techniques are that it is easier to build and is scalable.