While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options. Using a speedy arithmetic multiple-choice game in an online adaptive learning environment, we examined whether mouse movements could reflect arithmetic difficulties when error rates are low. Results showed that mouse movements towards alternative responses in correctly answered questions mapped onto the frequency of errors made in this online learning system. This mapping was stronger for the younger children, as well as for easy arithmetic problems. On an individual level, users showed more mouse movement towards their previously made response errors than towards other alternative options. This opens the possibility of adapting feedback and instruction on an individual basis through mouse tracking.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Error detection through mouse movement in an online adaptive learning environment



    Erscheinungsdatum :

    2020-08-24


    Anmerkungen:

    de Mooij , S M M , Raijmakers , M E J , Dumontheil , I , Kirkham , N Z & van der Maas , H L J 2020 , ' Error detection through mouse movement in an online adaptive learning environment ' , Journal of Computer Assisted Learning , vol. 37 , no. 1 , pp. 242-252 . https://doi.org/10.1111/jcal.12483



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Rail movement flaw detection online monitoring system

    WANG ZIJUN / WAN LITAO / WANG DONG et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    MOVEMENT DETECTION DEVICE, MOVEMENT DETECTION METHOD

    BABA TAKAHIRO | Europäisches Patentamt | 2018

    Freier Zugriff

    Improving Orbital Debris Environment Predictions Through Examining Satellite Movement Data

    Williamsen, Joel / Pechkis, Daniel / Balakrishnan, Asha et al. | AIAA | 2021


    MOVEMENT DETECTION DEVICE, MOVEMENT DETECTION METHOD

    BABA TAKAHIRO | Europäisches Patentamt | 2018

    Freier Zugriff