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基于数字媒体成瘾风险的数字学习中学生大脑激活的差异。

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

机构信息

College of Nursing, Korea University, Seoul 02841, Korea.

BK21FOUR R&E Center for Learning Health Systems, Korea University, Seoul 02841, Korea.

出版信息

Int J Environ Res Public Health. 2021 Oct 21;18(21):11061. doi: 10.3390/ijerph182111061.

DOI:10.3390/ijerph182111061
PMID:34769581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8582882/
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.

摘要

虽然数字媒体在中学生中很流行,但对于有数字媒体成瘾风险的学生来说,基于数字媒体的学习活动的安全性尚不清楚。本研究的目的是评估与数字媒体成瘾风险相关的学生大脑活动的差异。该研究为准实验性,采用前后测对照组设计。研究参与者包括 83 名参与数字学习的中学生。我们使用 PolyG-I(LAXTHA Inc.)测量了他们的脑电波,以评估大脑活动。我们发现数字学习前后两组注意力指数的位置没有统计学上的显著差异。然而,两组在放松指数的 P3、P4 和 F4 位置有统计学上的显著差异。这些结果表明,有数字媒体成瘾风险的学生可能会遇到学习困难。这些结果可用于指导医疗保健专业人员开发对学生安全的数字学习计划,并验证这些计划的效果。

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Effects of Changes to Architectural Elements on Human Relaxation-Arousal Responses: Based on VR and EEG.建筑元素变化对人类放松-兴奋反应的影响:基于 VR 和 EEG。
Int J Environ Res Public Health. 2021 Apr 19;18(8):4305. doi: 10.3390/ijerph18084305.
2
Structural Equation Model of Elementary School Students' Quality of Life Related to Smart Devices Usage Based on PRECEDE Model.基于 PRECEDE 模型的小学生智能设备使用与生活质量的结构方程模型。
Int J Environ Res Public Health. 2021 Apr 18;18(8):4301. doi: 10.3390/ijerph18084301.
3
Brain health consequences of digital technology use
.数字技术使用对大脑健康的影响。
Dialogues Clin Neurosci. 2020 Jun;22(2):179-187. doi: 10.31887/DCNS.2020.22.2/gsmall.
4
Exploratory study of brain waves and corresponding brain regions of fatigue on-call doctors using quantitative electroencephalogram.使用定量脑电图对疲劳值班医生的脑电波和相应脑区进行探索性研究。
J Occup Health. 2020 Jan;62(1):e12121. doi: 10.1002/1348-9585.12121.
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The Digital Addiction Scale for Children: Development and Validation.儿童数字化成瘾量表的编制与验证。
Cyberpsychol Behav Soc Netw. 2019 Dec;22(12):771-778. doi: 10.1089/cyber.2019.0132. Epub 2019 Nov 22.
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EXCLI J. 2019 Feb 4;18:47-50. eCollection 2019.
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The Analysis of Electroencephalography Changes Before and After a Single Neurofeedback Alpha/Theta Training Session in University Students.大学生单次神经反馈α/θ训练前后脑电图变化分析。
Appl Psychophysiol Biofeedback. 2019 Sep;44(3):173-184. doi: 10.1007/s10484-019-09432-4.
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Association of Digital Media Use With Subsequent Symptoms of Attention-Deficit/Hyperactivity Disorder Among Adolescents.数字媒体使用与青少年后续注意缺陷/多动障碍症状的关联。
JAMA. 2018 Jul 17;320(3):255-263. doi: 10.1001/jama.2018.8931.
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EEG in the classroom: Synchronised neural recordings during video presentation.课堂脑电图:视频展示过程中的同步神经记录。
Sci Rep. 2017 Mar 7;7:43916. doi: 10.1038/srep43916.
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