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Modeling students' flow experience through data logs in gamified educational systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU144223" target="_blank" >RIV/00216305:26230/21:PU144223 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/12700/" target="_blank" >https://www.fit.vut.cz/research/publication/12700/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICALT52272.2021.00037" target="_blank" >10.1109/ICALT52272.2021.00037</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling students' flow experience through data logs in gamified educational systems

  • Original language description

    User modeling in gamified educational systems is a contemporary challenge. In particular, modeling the students' flow experience (i.e., challenge-skill balance, action-awareness merging, clear goals, unambiguous feedback, total concentration on the task at hand, sense of control, loss of self-consciousness, transformation of time, and autotelic experience) during a gamified system usage is highly challenging. It is because measurement' instruments usually are invasive, removing the users from the flow experience and/or cannot be applied massively (e.g., participant observation, questionnaires or electroencephalogram). We faced this challenge by conducting a data-driven study (N = 23), where we used a robust statistical method (i.e., partial least squares path modeling) to model the students' flow experience, based on their interaction data (e.g., number of mouse clicks) in a gamified educational system. The main results indicate a relationship between the interaction logs and four flow experience dimensions. Our finds contribute to the area of gamified educational systems, through the students' flow experience modeling. Finally, based on our results, we also provided a series of recommendations for future studies.

  • 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

    S - Specificky vyzkum na vysokych skolach

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 - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021

  • ISBN

    978-1-6654-4106-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    97-101

  • Publisher name

    IEEE Communications Society

  • Place of publication

    online

  • Event location

    United States

  • Event date

    Jul 12, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000719352000031