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Feasibility of Computerized Adaptive Testing Evaluated by Monte-Carlo and Post-hoc Simulations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00533596" target="_blank" >RIV/67985807:_____/20:00533596 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.15439/2020F197" target="_blank" >http://dx.doi.org/10.15439/2020F197</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15439/2020F197" target="_blank" >10.15439/2020F197</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Feasibility of Computerized Adaptive Testing Evaluated by Monte-Carlo and Post-hoc Simulations

  • Original language description

    Computerized adaptive testing (CAT) is a modern alternative to classical paper and pencil testing. CAT is based on an automated selection of optimal item corresponding to current estimate of test-taker's ability, which is in contrast to fixed predefined items assigned in linear test. Advantages of CAT include lowered test anxiety and shortened test length, increased precision of estimates of test-takers' abilities, and lowered level of item exposure thus better security. Challenges are high technical demands on the whole test work-flow and need of large item banks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    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

  • Article name in the collection

    Proceedings of the 2020 Federated Conference on Computer Science and Information Systems

  • ISBN

    978-83-955416-7-4

  • ISSN

    2300-5963

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    359-367

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Sofia

  • Event date

    Sep 6, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article