A CSP based Learner Tailoring Question Recommendation Process using Item Response Theory


Hwa-Young Jeong, Journal of Information Processing Systems Vol. 10, No. 5, pp. 145-152, Oct. 2009  


Keywords: IRT, CSP, Question recommendation, E-learning
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Abstract

Applications such as study guides and adaptive tutoring must rely on a fine grained student model to tailor their interaction with the user. They are useful for Computer Adaptive Testing (CAT), for example, where the test items can be administered in order to maximize the information. I study how to design learner tailoring question process for recommendation. And this process can be applied the CAT and I use the formal language such as CSP in each process development for efficient process design. I use the item difficulty of item response theory for question recommendation process and learner can choice the difficulty step for learning change to control the difficulty of question in next learning. Finally, this method displayed the structural difference to compare between existent and this process.


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Cite this article
[APA Style]
Jeong, H. (2009). A CSP based Learner Tailoring Question Recommendation Process using Item Response Theory. Journal of Internet Computing and Services, 10(5), 145-152.

[IEEE Style]
H. Jeong, "A CSP based Learner Tailoring Question Recommendation Process using Item Response Theory," Journal of Internet Computing and Services, vol. 10, no. 5, pp. 145-152, 2009.

[ACM Style]
Hwa-Young Jeong. 2009. A CSP based Learner Tailoring Question Recommendation Process using Item Response Theory. Journal of Internet Computing and Services, 10, 5, (2009), 145-152.