Exploring the Role of Small Differences in Predictive Accuracy using Simulated Data

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Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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NIŽNAN Juraj PAPOUŠEK Jan PELÁNEK Radek

Rok publikování 2015
Druh Článek ve sborníku
Konference Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Obor Informatika
Klíčová slova student modeling; evaluation; simulated data; feedback
Popis Research in student modeling often leads to only small improvements in predictive accuracy of models. The importance of such improvements is often hard to assess and has been a frequent subject of discussions in student modeling community. In this work we use simulated students to study the role of small differences in predictive accuracy. We study the impact of such differences on behavior of adaptive educational systems and relation to interpretation of model parameters. We also point out a feedback loop between student models and data used for their evaluation and show how this feedback loop may mask important differences between models.
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