Bayesian based adaptive question generation technique

Journal of Electrical Systems and Information Technology

Nevin Darwish¹  Nayer Wanas²  Nadia Hegazy²  Nabila Khodeir² 

[1] Department of Computer Engineering, Cairo University, Giza, Egypt;Informatics Department, Electronics Research Institute, Dokki, Giza, Egypt;

关键词: Intelligent Tutoring System;    Student modeling;    Abduction;    Adaptive assessment;    Item response theory;   

DOI  :  10.1016/j.jesit.2014.03.007

来源: DOAJ

【 摘 要 】

In this paper we aim to estimate the student knowledge model in a probabilistic domain using automatic adaptively generated assessment questions. The student answers are used to estimate the actual student model. Updating and verification of the model are conducted based on the matching between the student's and model answers. Moreover, a comparative study between using the adaptive and random generated questions for updating the student model is investigated. Results suggest that utilizing adapted generated questions increases the approximation accuracy of the student model by 40% in addition to decreasing of the required assessing questions by 35%.

【 授权许可】

Unknown