Beyond binary correctness: Classification of students’ answers in learning systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00116670" target="_blank" >RIV/00216224:14330/20:00116670 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s11257-020-09265-5" target="_blank" >https://doi.org/10.1007/s11257-020-09265-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11257-020-09265-5" target="_blank" >10.1007/s11257-020-09265-5</a>
Alternative languages
Result language
angličtina
Original language name
Beyond binary correctness: Classification of students’ answers in learning systems
Original language description
Adaptive learning systems collect data on student performance and use them to personalize system behavior. Most current personalization techniques focus on the correctness of answers. Although the correctness of answers is the most straightforward source of information about student state, research suggests that additional data are also useful, e.g., response times, hints usage, or specific values of incorrect answers. However, these sources of data are not easy to utilize and are often used in an ad hoc fashion. We propose to use answer classification as an interface between raw data about student performance and algorithms for adaptive behavior. Specifically, we propose a classification of student answers into six categories: three classes of correct answers and three classes of incorrect answers. The proposed classification is broadly applicable and makes the use of additional interaction data much more feasible. We support the proposal by analysis of extensive data from adaptive learning systems.
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
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
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
30
Issue of the periodical within the volume
5
Country of publishing house
CH - SWITZERLAND
Number of pages
27
Pages from-to
867-893
UT code for WoS article
000530578600001
EID of the result in the Scopus database
2-s2.0-85085069556