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Differences in Student Brain Activation from Digital Learning Based on Risk of Digital Media Addiction

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  • GyeongAe Seomun

    (College of Nursing, Korea University, Seoul 02841, Korea
    BK21FOUR R&E Center for Learning Health Systems, Korea University, Seoul 02841, Korea)

  • Wonjung Noh

    (College of Nursing, Gachon University, Incheon 21936, Korea)

Abstract

Although digital media usage is prevalent among middle school students, the safety of digital media-based learning activities for students at risk of digital media addiction is unknown. The goal of this study was to evaluate the differences in students’ brain activity in relation to their risk of digital media addiction. The study was quasi-experimental, with a pre- to post-test control group design. The study participants included 83 middle school students who were engaged in digital learning. We measured their brainwaves to evaluate brain activity using a PolyG-I (LAXTHA Inc.). We found no statistically significant differences in the location of the attention index between the two groups before and after digital learning. However, there were statistically significant differences between the two groups in the P3, P4, and F4 locations of the relaxation index. These results indicate that students at risk of digital media addiction may experience learning difficulties. These results can be used to guide healthcare professionals in developing digital learning programs that are safe for students and to also verify the effects of these programs.

Suggested Citation

  • GyeongAe Seomun & Wonjung Noh, 2021. "Differences in Student Brain Activation from Digital Learning Based on Risk of Digital Media Addiction," IJERPH, MDPI, vol. 18(21), pages 1-9, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11061-:d:661351
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    References listed on IDEAS

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    1. David Bickham & Yulin Hswen & Michael Rich, 2015. "Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(2), pages 147-155, February.
    2. Sanghee Kim & Hyejin Park & Seungyeon Choo, 2021. "Effects of Changes to Architectural Elements on Human Relaxation-Arousal Responses: Based on VR and EEG," IJERPH, MDPI, vol. 18(8), pages 1-28, April.
    3. Jin-Pyo Lee & Yang-Sook Lee, 2021. "Structural Equation Model of Elementary School Students’ Quality of Life Related to Smart Devices Usage Based on PRECEDE Model," IJERPH, MDPI, vol. 18(8), pages 1-14, April.
    4. Gabriela Ionas, 2015. "Video Games and the Internet and their Effects upon the Brain of Children and Adolescents," Journal of Business Economics and Information Technology, ScientificEducation.org, vol. 2(6), December.
    Full references (including those not matched with items on IDEAS)

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