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@article{1448657,
author = {Pelánek, Radek},
article_number = {3},
doi = {http://dx.doi.org/10.1007/s11257-018-9204-y},
keywords = {student modeling; evaluation; metrics; data; model comparison},
language = {eng},
issn = {0924-1868},
journal = {User Modeling and User-Adapted Interaction},
title = {The details matter: methodological nuances in the evaluation of student models},
url = {https://link.springer.com/article/10.1007/s11257-018-9204-y},
volume = {28},
year = {2018}
}
TY - JOUR
ID - 1448657
AU - Pelánek, Radek
PY - 2018
TI - The details matter: methodological nuances in the evaluation of student models
JF - User Modeling and User-Adapted Interaction
VL - 28
IS - 3
SP - 207-235
EP - 207-235
PB - Springer
SN - 09241868
KW - student modeling
KW - evaluation
KW - metrics
KW - data
KW - model comparison
UR - https://link.springer.com/article/10.1007/s11257-018-9204-y
L2 - https://link.springer.com/article/10.1007/s11257-018-9204-y
N2 - 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.
ER -
PELÁNEK, Radek. The details matter: methodological nuances in the evaluation of student models. \textit{User Modeling and User-Adapted Interaction}. Springer, 2018, roč.~28, č.~3, s.~207-235. ISSN~0924-1868. Dostupné z: https://dx.doi.org/10.1007/s11257-018-9204-y.
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