%0 Journal Article
%T Adaptive Assessment and Knowledge Level Estimation by Means of Knowledge Model and Bayesian Networks
%J Technology of Education Journal (TEJ)
%I Shahid Rajaee Teacher Training University
%Z 2008-0441
%A Kardan, A.
%A Kardan, S.
%D 2009
%\ 06/22/2009
%V 3
%N 3
%P 151-164
%! Adaptive Assessment and Knowledge Level Estimation by Means of Knowledge Model and Bayesian Networks
%K Assessment of learners' level of knowledge
%K adaptive evaluation
%K user knowledge model
%K business networks
%K e-Learning
%R 10.22061/tej.2009.1324
%X One of the important issues in a learning management system is the assessment of the learnerâ€™s knowledge level. In basic methods of assessment, questions are simply ticked by the learners, and then automatically scored by machine. In this sort of examinations, two problems may be raised. Firstly, the learner may answer and mark the questions accidentally by guessing the answer without having enough knowledge about the related subject. Secondly, he/she may slip in answering the questions due to his/her inattention, although he/she has enough knowledge about the related subject. In this work, an improved method for knowledge level assessment is presented. In the proposed method learning concepts are modeled based on the hierarchical construct of learning objectives, and the learnerâ€™s knowledge model is used to estimate his/her knowledge level. This model is established on the basis of Bayesian networks, and considering the hierarchical construct of learning objectives. To evaluate the proposed method, a set of questions by considering the learning objectives was designed and ordered into different levels of complications. Then these questions were used for assessments. In this work also a new algorithm for updating the nodes in a Bayesian network is introduced. By means of this algorithm the effect of guessing and slipping answers in an assessment is undoubtedly reduced. Finally, by presenting a model for knowledge and use of the hierarchical construct of learning objectives, an effective solution for three above mentioned problems of guessing answers, slipping answers, and the origin of wrong answers have been established.
%U https://jte.sru.ac.ir/article_1324_e7e3bc678c53d5e7442efa79d2f11047.pdf