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Exploring the Utility of Response Times and Wrong Answers for Adaptive Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00104016" target="_blank" >RIV/00216224:14330/18:00104016 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3231644.3231675" target="_blank" >http://dx.doi.org/10.1145/3231644.3231675</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3231644.3231675" target="_blank" >10.1145/3231644.3231675</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploring the Utility of Response Times and Wrong Answers for Adaptive Learning

  • Original language description

    Personalized educational systems adapt their behavior based on student performance. Most student modeling techniques, which are used for guiding the adaptation, utilize only the correctness of student’s answers. However, other data about performance are typically available. In this work we focus on response times and wrong answers as these aspects of performance are available in most systems. We analyze data from several types of exercises and domains (mathematics, spelling, grammar). The results suggest that wrong answers are more informative than response times. Based on our results we propose a classification of student performance into several categories.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Learning @ Scale

  • ISBN

    9781450358866

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    „18:1-18:4“

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    New York, NY, USA

  • Event date

    Jan 1, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000546308900018