The details matter: methodological nuances in the evaluation of student models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00104013" target="_blank" >RIV/00216224:14330/18:00104013 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11257-018-9204-y" target="_blank" >http://dx.doi.org/10.1007/s11257-018-9204-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11257-018-9204-y" target="_blank" >10.1007/s11257-018-9204-y</a>

Result language
angličtina
Original language name
The details matter: methodological nuances in the evaluation of student models
Original language description
The core of student modeling research is about capturing the complex learning processes into an abstract mathematical model. The student modeling research, however, also involves important methodological aspects. Some of these aspects may seem like technical details not worth significant attention. However, the details matter. We discuss three important methodological issues in student modeling: the impact of data collection, the splitting of data into a training set and a test set, and the details concerning averaging in the computation of predictive accuracy metrics. We explicitly identify decisions involved in these steps, illustrate how these decisions can influence results of experiments, and discuss consequences for future research in student modeling.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)