University of Leicester
Browse
2b_IJHCS_D_19_00408_Manuscript_ReviseSubmission_29Sept2020-EL.docx (4.01 MB)

Derivation of young children's interaction strategies with digital educational games from gaze sequences analysis

Download (4.01 MB)
journal contribution
posted on 2020-11-24, 10:34 authored by DN Mohd Nizam, ELC Law
Digital Education Games (DEGs) have been used to support children's learning in various domains. A number of existing studies on DEGs has focused on whether they could improve children's learning performance. However, only a few of them have attempted to address the critical question of how young children interact with DEGs. Bridging this gap was the main motivation underpinning this research study. With the use of eye-tracking technology, we explored our research goal by evaluating a bespoke DEG on numeracy and its cardboard version that we developed based on the UK Early Years Foundation Stage (EYFS) framework. A between-subject experiment study involving 94 five-year-olds was conducted. The research protocols and instruments were pilot tested and ethically approved. In analysing the eye-tracking data, we refined the Gaze Sub-sequence Marking Scheme to infer children's interaction strategies. Results showed that the difference in the learning effect between the digital and cardboard game was insignificant, that the children's interaction strategies varied significantly with their achievement level, and that children's gender was not a significant factor in determining the impact of learning with the DEG. Implications for rendering eye-tracking technology more child-friendly and designing DEGs for young children are drawn.

History

Citation

International Journal of Human-Computer Studies Volume 146, February 2021, 102558

Author affiliation

Department of Informatics

Version

  • AM (Accepted Manuscript)

Published in

International Journal of Human Computer Studies

Volume

146

Pagination

102558 - 102558

Publisher

Elsevier BV

issn

1071-5819

eissn

1095-9300

Acceptance date

2020-10-14

Copyright date

2020

Available date

2021-10-18

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC