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Experimental Evaluation of Similarity Measures for Educational Items

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00122016" target="_blank" >RIV/00216224:14330/21:00122016 - isvavai.cz</a>

  • Result on the web

    <a href="https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf" target="_blank" >https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experimental Evaluation of Similarity Measures for Educational Items

  • Original language description

    Measuring similarity of educational items has several applications in the development of adaptive learning systems, and previous research has already proposed a wide range of similarity measures. In this work, we provide an experimental evaluation of selected similarity measures using a large dataset. The used items are alternate-choice questions for the practice of English grammar for second language learners; the dataset contains thousands of items and over 10 million student answers. Our results provide warnings about the generalizability of results presented in EDM works: 1) the results vary significantly between knowledge components and 2) the size of available data is an important factor.

  • 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

    2021

  • 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 14th International Conference on Educational Data Mining

  • ISBN

    9781733673624

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    553-558

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Paris, France

  • Event date

    Jun 29, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article