SPREADING EXPERTISE SCORES IN OVERLAY LEARNER MODELS

Martin Hochmeister

Abstract

Intelligent tutoring systems adapt learning resources depending on learners’ 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 learner’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.

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Paper Citation


in Harvard Style

Hochmeister M. (2012). SPREADING EXPERTISE SCORES IN OVERLAY LEARNER MODELS . In Proceedings of the 4th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-8565-06-8, pages 175-180. DOI: 10.5220/0003918901750180


in Bibtex Style

@conference{csedu12,
author={Martin Hochmeister},
title={SPREADING EXPERTISE SCORES IN OVERLAY LEARNER MODELS},
booktitle={Proceedings of the 4th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2012},
pages={175-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003918901750180},
isbn={978-989-8565-06-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - SPREADING EXPERTISE SCORES IN OVERLAY LEARNER MODELS
SN - 978-989-8565-06-8
AU - Hochmeister M.
PY - 2012
SP - 175
EP - 180
DO - 10.5220/0003918901750180