Talks and Poster Presentations (with Proceedings-Entry):
"Spreading expertise scores in overlay learner models";
Talk: International Conference on Computer Supported Education,
- 2012-05-08; in: "CSEDU 2012 - Proceedings of the 4th International Conference on Computer Supported Education",
M Helfert, M. Martins, J. Cordeiro (ed.);
Intelligent tutoring systems adapt learning resources depending on learnersī 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 learnerīs 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.
Learner Model, Expertise, Ontology, Spreading Activation, Intelligent Tutoring Systems
Created from the Publication Database of the Vienna University of Technology.