Impact of Data Collection on Interpretation and Evaluation of Student Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00090424" target="_blank" >RIV/00216224:14330/16:00090424 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2883851.2883868" target="_blank" >http://dx.doi.org/10.1145/2883851.2883868</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2883851.2883868" target="_blank" >10.1145/2883851.2883868</a>

Result language
angličtina
Original language name
Impact of Data Collection on Interpretation and Evaluation of Student Models
Original language description
Student modeling techniques are evaluated mostly using historical data. Researchers typically do not pay attention to details of the origin of the used data sets. However, the way data are collected can have important impact on evaluation and interpretation of student models. We discuss in detail two ways how data collection in educational systems can influence results: mastery attrition bias and adaptive choice of items. We systematically discuss previous work related to these biases and illustrate the main points using both simulated and real data. We summarize specific consequences for practice -- not just for doing evaluation of student models, but also for data collection and publication of data sets.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge
ISBN
9781450341905
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
40-47
Publisher name
ACM
Place of publication
Edinburgh, United Kingdom
Event location
Edinburgh, United Kingdom
Event date
Jan 1, 2016
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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