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Measuring Similarity of Educational Items: An Overview

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115524" target="_blank" >RIV/00216224:14330/20:00115524 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8629958" target="_blank" >https://ieeexplore.ieee.org/document/8629958</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TLT.2019.2896086" target="_blank" >10.1109/TLT.2019.2896086</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring Similarity of Educational Items: An Overview

  • Original language description

    A measure of similarity of educational items has many applications in adaptive learning systems and can be useful also for teachers and content creators. We provide a thorough overview of approaches for measuring item similarity. We document the computation pipeline, explicitly highlighting many choices that have to be made in order to quantify item similarity. We also discuss methods for analysis of similarity measures. For illustration and evaluation, we consider items from diverse domains, e.g., mathematics, programming, and language learning. Although there is no ultimate, universal approach to measuring item similarity, our overview leads to guidelines that facilitate computation of item similarity in practical applications.

  • 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

    10200 - Computer and information sciences

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

  • Name of the periodical

    IEEE Transactions on Learning Technologies

  • ISSN

    1939-1382

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    354-366

  • UT code for WoS article

    000545023500010

  • EID of the result in the Scopus database

    2-s2.0-85061306177