PELÁNEK, Radek. The details matter: methodological nuances in the evaluation of student models. User Modeling and User-Adapted Interaction. Springer, 2018, vol. 28, No 3, p. 207-235. ISSN 0924-1868. Available from: https://dx.doi.org/10.1007/s11257-018-9204-y.
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Basic information
Original name The details matter: methodological nuances in the evaluation of student models
Authors PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution).
Edition User Modeling and User-Adapted Interaction, Springer, 2018, 0924-1868.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10200 1.2 Computer and information sciences
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.400
RIV identification code RIV/00216224:14330/18:00104013
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1007/s11257-018-9204-y
UT WoS 000444730900001
Keywords in English student modeling; evaluation; metrics; data; model comparison
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Radek Pelánek, Ph.D., učo 4297. Changed: 2/9/2020 08:57.
Abstract
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.
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