Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data

The popularity of mobile gaming has become a common sight in rural areas, and the problem of left-behind children's mobile gaming has become the biggest challenge faced by rural education, and has become a hot topic in the education sector and society. The stage of left-behind children is the g...

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Main Authors: Mengyu Li, Jinglei Li, Megat Al Imran Yasin, Mohd Nizam Osman, Norliana Binti Hashim, Lay Hoon Ang, Yitian Xue
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.915801/full
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author Mengyu Li
Mengyu Li
Jinglei Li
Megat Al Imran Yasin
Mohd Nizam Osman
Norliana Binti Hashim
Lay Hoon Ang
Yitian Xue
author_facet Mengyu Li
Mengyu Li
Jinglei Li
Megat Al Imran Yasin
Mohd Nizam Osman
Norliana Binti Hashim
Lay Hoon Ang
Yitian Xue
author_sort Mengyu Li
collection DOAJ
description The popularity of mobile gaming has become a common sight in rural areas, and the problem of left-behind children's mobile gaming has become the biggest challenge faced by rural education, and has become a hot topic in the education sector and society. The stage of left-behind children is the golden period of learning and growth. However, this stage is also the period when they have the greatest fluctuations in their ideology due to various factors such as guardians and youths. With the development of big data, it has been applied to various aspects of people's life. This article is mainly based on qualitative research, with the interview and observation as the main methods, supplemented by a questionnaire survey method. In the empirical analysis part, this article has a certain degree of expansion in data selection and research methods. Compared with previous studies, we increased the scale of the research data, making the research results more meaningful. In the research method, the ordinary least squares method (OLS), the propensity score matching method (PSM) and the two-stage least square method (2SLS) are used, and multiple control variables are selected. The factor analysis of the original scores of the historical knowledge test and the original scores of the two-dimensional cultural value evaluation are carried out to obtain the factor scores of cognitive ability. The emotion of the child is expressed by the depression score, and factor analysis is also performed on the depression score. Cognitive abilities refer to reasoning or thinking, processing speeds, and one's ability to solve problems in novel situations, independent of acquired knowledge. OLS regression results show that left-behind children are inferior to non-left-behind ones in cognitive ability. Moreover, left-behind children are more likely to be emotionally depressed. And whether the children are accompanied by migrant or rural parents, there is no significant difference in their cognitive ability and emotions. Because there are unobservable factors that affect whether children are left-behind and children's cognitive abilities and emotions, the sample may have a self-selection bias. This research focuses on the phenomenon of left-behind children's mobile gaming, revealing the compromised cognitive abilities of these marginalized children groups. Our study might put a wake-up for authorities on the education in rural areas.
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spelling doaj.art-9d37255ce0f941c8b9541a0b3f3d156e2022-12-22T02:36:42ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-06-011010.3389/fpubh.2022.915801915801Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big DataMengyu Li0Mengyu Li1Jinglei Li2Megat Al Imran Yasin3Mohd Nizam Osman4Norliana Binti Hashim5Lay Hoon Ang6Yitian Xue7School of Journalism and Communication, Zhengzhou University, Zhengzhou, ChinaFaculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, MalaysiaSchool of Journalism and Communication, Zhengzhou University, Zhengzhou, ChinaFaculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, MalaysiaFaculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, MalaysiaFaculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, MalaysiaFaculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, MalaysiaPropaganda Department, Hohai University, Nanjing, ChinaThe popularity of mobile gaming has become a common sight in rural areas, and the problem of left-behind children's mobile gaming has become the biggest challenge faced by rural education, and has become a hot topic in the education sector and society. The stage of left-behind children is the golden period of learning and growth. However, this stage is also the period when they have the greatest fluctuations in their ideology due to various factors such as guardians and youths. With the development of big data, it has been applied to various aspects of people's life. This article is mainly based on qualitative research, with the interview and observation as the main methods, supplemented by a questionnaire survey method. In the empirical analysis part, this article has a certain degree of expansion in data selection and research methods. Compared with previous studies, we increased the scale of the research data, making the research results more meaningful. In the research method, the ordinary least squares method (OLS), the propensity score matching method (PSM) and the two-stage least square method (2SLS) are used, and multiple control variables are selected. The factor analysis of the original scores of the historical knowledge test and the original scores of the two-dimensional cultural value evaluation are carried out to obtain the factor scores of cognitive ability. The emotion of the child is expressed by the depression score, and factor analysis is also performed on the depression score. Cognitive abilities refer to reasoning or thinking, processing speeds, and one's ability to solve problems in novel situations, independent of acquired knowledge. OLS regression results show that left-behind children are inferior to non-left-behind ones in cognitive ability. Moreover, left-behind children are more likely to be emotionally depressed. And whether the children are accompanied by migrant or rural parents, there is no significant difference in their cognitive ability and emotions. Because there are unobservable factors that affect whether children are left-behind and children's cognitive abilities and emotions, the sample may have a self-selection bias. This research focuses on the phenomenon of left-behind children's mobile gaming, revealing the compromised cognitive abilities of these marginalized children groups. Our study might put a wake-up for authorities on the education in rural areas.https://www.frontiersin.org/articles/10.3389/fpubh.2022.915801/fullrural economysocial mobile gamesleft-behind childrencognitive impactbig data
spellingShingle Mengyu Li
Mengyu Li
Jinglei Li
Megat Al Imran Yasin
Mohd Nizam Osman
Norliana Binti Hashim
Lay Hoon Ang
Yitian Xue
Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data
Frontiers in Public Health
rural economy
social mobile games
left-behind children
cognitive impact
big data
title Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data
title_full Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data
title_fullStr Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data
title_full_unstemmed Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data
title_short Analysis on the Cognitive Impact of Social Mobile Games on Left-Behind Children in the Era of Big Data
title_sort analysis on the cognitive impact of social mobile games on left behind children in the era of big data
topic rural economy
social mobile games
left-behind children
cognitive impact
big data
url https://www.frontiersin.org/articles/10.3389/fpubh.2022.915801/full
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