188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188, A-1040 Vienna, Austria

Spreading expertise scores in overlay learner models

M. Hochmeister
CSEDU 2012 - Proceedings of the 4th International Conference on Computer Supported Education
175 - 180
Speech with proceedings
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Information and Communication Technology
ISBN: 978-989-8565-06-8
Intelligent tutoring systems adapt learning resources depending on learnersĀ“ models. Successful adaptation is largely based on comprehensive and accurate learner models. By exploiting the network structure of ontology overlay models, we infer new learner knowledge and calculate the knowledge level we refer to as expertise scores. This paper presents a novel score propagation algorithm using constrained spreading activation and heuristics based on relative depth scaling. The algorithm spreads expertise scores amongst topics in a learnerĀ“s overlay model. We compared this novel approach with a baseline algorithm in the domain of programming languages and asked human experts to evaluate the calculated scores. Our results suggest that the novel algorithm tends to calculate more accurate expertise scores than the baseline approach.
Abstract German: