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Flow Experience Analysis in Gameful Educational Environments: A Systematic Literature Review

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)
92 Downloads (Pure)

Abstract

One of the most important challenges in gameful educational environments (e.g., gamified educational systems, educational games, and educational VR applications) is to identify students’ experience (e.g., engagement, motivation, and flow experience) during the system usage. Especially regarding flow experience, in recent years, different studies have analyzed students’ flow experience while using gameful educational environments. However, it is difficult to identify the state-of-the-art flow experience analysis in gameful educational environments. Facing this challenge, we present a systematic literature review investigating how the flow experience analysis is conducted in gameful educational environments. The main results indicate that most of the studies are using psychometrically validated scales to measure the students’ flow experience. Our results especially contribute to the fields of educational technologies and gameful design in education, presenting a state-of-the-art flow experience analysis in gameful educational environments.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024
EditorsZehra Altinay, Maiga Chang, Rita Kuo, Ahmed Tlili
PublisherIEEE
Pages44-46
Number of pages3
ISBN (Electronic)979-8-3503-6205-3
DOIs
Publication statusPublished - 2024
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Advanced Learning Technologies - Hybrid, Nicosia, Cyprus
Duration: 1 Jul 2024 → 4 Jul 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024
ISSN (Electronic)2161-377X

Conference

ConferenceIEEE International Conference on Advanced Learning Technologies
Country/TerritoryCyprus
CityHybrid, Nicosia
Period1/07/24 → 4/07/24

Funding

This work has been supported by the Academy of Finland Flagship Programme [Grant No. 337653 - Forest-Human-Machine Interplay (UNITE)]. The authors utilized generative artificial intelligence (i.e., Microsoft Copilot) to improve the grammatical quality of the text.

FundersFunder number
Microsoft Copilot
Strategic Research Council at the Research Council of Finland337653

    Keywords

    • Flow Theory
    • game-based learning
    • gameful environments
    • systematic literature review
    • user experience

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction
    • Media Technology
    • Education

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