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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • 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