Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00099575" target="_blank" >RIV/00216224:14330/17:00099575 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11257-017-9193-2" target="_blank" >http://dx.doi.org/10.1007/s11257-017-9193-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11257-017-9193-2" target="_blank" >10.1007/s11257-017-9193-2</a>
Alternative languages
Result language
angličtina
Original language name
Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
Original language description
Learner modeling is a basis of personalized, adaptive learning. The research literature provides a wide range of modeling approaches, but it does not provide guidance for choosing a model suitable for a particular situation. We provide a systematic and up-to-date overview of current approaches to tracing learners' knowledge and skill across interaction with multiple items, focusing in particular on the widely used Bayesian knowledge tracing and logistic models. We discuss factors that influence the choice of a model and highlight the importance of the learner modeling context: models are used for different purposes and deal with different types of learning processes. We also consider methodological issues in the evaluation of learner models and their relation to the modeling context. Overall, the overview provides basic guidelines for both researchers and practitioners and identifies areas that require further clarification in future research.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
User Modeling and User-Adapted Interaction
ISSN
0924-1868
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
3-5
Country of publishing house
DE - GERMANY
Number of pages
38
Pages from-to
313-350
UT code for WoS article
000414997500001
EID of the result in the Scopus database
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