A Modeling and Assessing Method Based on Bayesian Networks

Authors:
Zhi Liu;Jie Jiang
Affiliations:
Software College, Zhejiang University of Technology, Hangzhou, 310032, China;Software College, Zhejiang University of Technology, Hangzhou, 310032, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

Citing 2
Cited 0

A tutorial on learning with Bayesian networks

Learning in graphical models
Adaptive Assessment Using Granularity Hierarchies and Bayesian Nets

ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to give adaptive instruction to the learner, it needs to know what knowledge the learner has and what goals the learner is trying to archive. This paper proposes a method to build a model based on Bayesian networks in order to assess the learner's knowledge level. An overlay student model based on Bayesian networks is presented. This student model built on knowledge relationships with prediction ability is discussed in details. In this model, an assessing method based on Logistic model in IRT with three parameters is provided to evaluate student's performance. A case study in the course of Data Structure is illustrated in this paper.