Education Fever and Adolescent Deviance in China

Huang, Wan; Chen, Xiaojin; Wu, Yuning

doi:10.1177/00111287231174421

Cited by 2 publications

(2 citation statements)

References 65 publications

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“…In the literature concerning school dropout and its influence on engaging in deviant behaviour, it is noted that, to the best of the researcher’s knowledge, there is a lack of studies conducted in this area in India. However, ample research has been conducted on adolescent and youth deviant behaviour worldwide (see Akers and Cochran, 1985; Chen et al , 2021; Huang et al , 2023; Ma et al , 2023). A study by Damron-Bell (2011) showed that gender, ethnicity and age were all significant predictors of engaging in risky behaviour, with males engaging in such behaviour more frequently than females, whites engaging in such behaviour more frequently than racial and ethnic minorities and older students engaging in such behaviour more frequently than younger students.…”

Section: Review Of Literaturementioning

confidence: 99%

The ripple effect of school dropout: exploring the nexus between school dropout, deviance, and subsequent arrest amongst children in India

Senthivel,

Madurai,

Valan

et al. 2024

JCRPP

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Purpose This paper aims to measure the prevalence of deviant behaviour among children who have dropped out of school and their subsequent arrests by the criminal justice system. The paper further analyses the relationship between the factors attributed to deviant behaviour and the subsequent arrests by the criminal justice system. Design/methodology/approach Using a semi-structured interview schedule, data was collected from 330 children who had already dropped out of school, remained on the streets or worked. The interviews took place in the presence of either of the children’s parents, with their consent. Findings The research identified 12 significant factors contributing to children dropping out of school. It also found six factors responsible for deviant behaviour. Furthermore, the study revealed that about 70% of the respondents were involved in one or more deviant behaviours. Among them, 51% had been detained by the Police in the past two years. Additionally, the linear regression model results positively predict the nexus among the six factors responsible for deviant behaviour. Research limitations/implications The study is limited to male children who had dropped out of school, as female children were excluded. In connection with measuring deviant behaviour, it was challenging to discern whether it occurred before students left school, after or both. Practical implications The study suggests several measures, including policies such as early intervention programmes, providing quality education, mentoring and counselling for students and parents, vocational education opportunities, creating drug-free environments, career guidance, peer mentoring, community engagement, substance abuse prevention and rehabilitation programmes, to prevent school dropout and subsequent deviant behaviour. Originality/value To the best of the authors’ knowledge, this study is unique to India. The moderation regression model represents an exceptional finding. This study constitutes another addition to the field of child welfare while also indicating scope for future research.

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Section: Review Of Literaturementioning

confidence: 99%

The ripple effect of school dropout: exploring the nexus between school dropout, deviance, and subsequent arrest amongst children in India

Senthivel,

Madurai,

Valan

et al. 2024

JCRPP

View full text Add to dashboard Cite

show abstract

“…In all teaching, teachers must first apply information technology education, integrate teaching interactive feedback, class observation and discussion, etc., collect data related to students' academic performance in real time, and analyze and judge the learning atmosphere. Design solutions can effectively correct erroneous tasks (Huang et al, 2023). (2) Tasks: Classify and solve common and partial problems.…”

Section: The Application Of Big Datamentioning

confidence: 99%

The Impact of the Double Reduction Policy on the Educational Anxiety of Parents Under Big Data

Yang

2024

International Journal of Sociotechnology and Knowledge Development

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In the context of the “double reduction” policy, using big data to carry out precision teaching is an effective way to improve the quality of teaching in schools and reduce the burden on teachers and students and increase efficiency. The formal implementation of the “double reduction” policy has not only reduced students' academic burden, but also increased students' spare time. However, according to relevant data, the current level of anxiety among parents about their children's education is still high, and different parents have different levels of education anxiety. In order to study the impact of the “double reduction” policy on the educational anxiety of parents of primary and secondary school students in the context of big data, this article puts forward some suggestions related to eliminating the educational anxiety of primary school parents based on the existing problems and their causes, so as to create a good educational atmosphere.

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Education Fever and Adolescent Deviance in China

Cited by 2 publications

References 65 publications

The ripple effect of school dropout: exploring the nexus between school dropout, deviance, and subsequent arrest amongst children in India

The ripple effect of school dropout: exploring the nexus between school dropout, deviance, and subsequent arrest amongst children in India

The Impact of the Double Reduction Policy on the Educational Anxiety of Parents Under Big Data

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