Social bonds and profiles of delinquency among adolescents: Differential effects by gender and age

Chiang, Chien-Jen; Chen, Yu‐Chih; Wei, Hsi-Sheng; Jonson‐Reid, Melissa

doi:10.1016/j.childyouth.2020.104751

Cited by 12 publications

(5 citation statements)

References 58 publications

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“…A similar situation against the background of a general increase in the level of juvenile delinquency is noted by researchers in the countries of near and far abroad (Cauffman, 2008;Chiang et al, 2020).…”

Section: Resultssupporting

confidence: 70%

State, Causes And Ways Of Minimizing Female Juvenile Delinquency

Osadchuk¹

2021

Knowledge, Man and Civilization - Proceedings of International Scientific Congress «Knowledge, Man and Civilization» (ISCKMC 20

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Section: Resultssupporting

confidence: 70%

State, Causes And Ways Of Minimizing Female Juvenile Delinquency

Osadchuk¹

2021

Knowledge, Man and Civilization - Proceedings of International Scientific Congress «Knowledge, Man and Civilization» (ISCKMC 20

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“…The main insights from the interviews with the dropouts of the Creative Coding project are listed as follows:-• Lack of social connections: The lack of strong social bonds with the teachers and peer participants resulted in a diminished sense of attachment to the project itself [8]. A participant said, "You waste 10-20 minutes waiting for explanations.…”

Section: Results Of Interviews With Dropoutsmentioning

confidence: 99%

Tailoring Full STEAM Ahead Empowerment: Creative Coding for 21st Century Girls

Maric,

Murali Rani

2024

EAI Endorsed Trans Creat Tech

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INTRODUCTION: This paper provides a comprehensive examination of the Creative Coding project’s impact on female empowerment.OBJECTIVES: The project addresses the gender disparity in STEAM fields by integrating coding and art for girls aged 10-15, using the Strudel tool that combines real-time live coding and music composition.METHODS: Through observation and interviews with the girls who participated and performed at the end of the Creative Coding project, but also with those who dropped out, we cast a deep look into the positive and negative parameters to tailor concrete measures for every girl empowerment - not only super achievers. We collaborated with teachers and female mentors from the Computer Science and Engineering Department as relatable role models, to support feelings of belonging and spark curiosity. Using the new user-friendly Strudel tool that supports the integration of art, music, and audio-visual elements, we aimed at an engaging learning experience. To tailor new actions and increase attrition we used a mess map for analysis of the wicked problem of dropouts. Finally, collaboration among the girls and peer learning were expected as by-product effects.RESULTS: Positive outcomes include increased interest, self-confidence, creativity, and aspirations in STEAM subjects among the girls. However, a more comprehensive and supportive environment is recognized as necessary to engage a broader group of girls in STEAM activities. The findings highlight the importance of cultivating curiosity, providing mentorship, promoting inclusivity and collaboration, and integrating creativity in education to inspire and empower girls in coding and STEAM disciplines.CONCLUSION: The paper concludes by emphasizing the potential of Creative Coding practices and the audio-visual perception of music to enhance girls’ empowerment, creativity, and interest in coding and STEAM fields.

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“…Adolescents are the principal recipients of AIEd and they are in a state that is very easily affected by the external environment [18][19][20]. However, previous studies only discussed the influence of AIEd on adolescents at the theoretical level, which may lead to some limitations.…”

Section: Artificial Intelligence and Social Adaptationmentioning

confidence: 99%

Influence of Artificial Intelligence in Education on Adolescents’ Social Adaptability: A Machine Learning Study

Xie

Ruan

Lin

et al. 2022

IJERPH

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This study aimed to investigate the influence of artificial intelligence in education (AIEd) on adolescents’ social adaptability, as well as to identify the relevant psychosocial factors that can predict adolescents’ social adaptability. A total of 1328 participants (meanage = 13.89, SD = 2.22) completed the survey. A machine-learning algorithm was used to find out whether AIEd may influence adolescents’ social adaptability as well as the relevant psychosocial variables, such as teacher–student relations, peer relations, interparental relations, and loneliness that may be significantly related to social adaptability. Results showed that it has a positive influence of AIEd on adolescents’ social adaptability. In addition, the four most important factors in the prediction of social adaptability among AI group students are interpersonal relationships, peer relations, academic emotion, and loneliness. A high level of interpersonal relationships and peer relations can predict a high level of social adaptability among the AI group students, while a high level of academic emotion and loneliness can predict a low level of social adaptability. Overall, the findings highlight the need to focus interventions according to the relation between these psychosocial factors and social adaptability in order to increase the positive influence of AIEd and promote the development of social adaptability.

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Social bonds and profiles of delinquency among adolescents: Differential effects by gender and age

Cited by 12 publications

References 58 publications

State, Causes And Ways Of Minimizing Female Juvenile Delinquency

State, Causes And Ways Of Minimizing Female Juvenile Delinquency

Tailoring Full STEAM Ahead Empowerment: Creative Coding for 21st Century Girls

Influence of Artificial Intelligence in Education on Adolescents’ Social Adaptability: A Machine Learning Study

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