Taking AI Neural Network to Analyze Labor Rights and Labor Disputes

Exploring labor rights on the cognition of relationship with labor dispute is not only from the direct role of workers and HR, but also from the fight for labor rights of college students. However, many labor disputes in labor process are mainly related to labor rights. Therefore, we explore the relationship between labor rights and labor disputes, use neural network analysis and questionnaire survey method, and execute AI combining with big data analysis tools to collect first-hand data from two aspects of college students, workers in the industry, HR and labor dispatch personnel. Finally, the results show that: (1) there is a negative correlation between social security and labor disputes; (2) there is a negative correlation between labor safety and labor disputes; (3) there is a negative correlation between wages and labor disputes; (4) there is a negative correlation between labor contract signing and labor disputes; (5) there is a positive correlation between rights awareness and labor disputes.

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Second-hand clothing shopping among college students: the role of psychographic characteristics

Young Consumers Insight and Ideas for Responsible Marketers ◽

10.1108/yc-02-2014-00429 ◽

2015 ◽

Vol 16 (1) ◽

pp. 85-98 ◽

Cited By ~ 24

Author(s):

Ruoh-Nan Yan ◽

Su Yun Bae ◽

Huimin Xu

Keyword(s):

College Students ◽

Survey Method ◽

Price Sensitivity ◽

Environmentally Conscious ◽

Content Type ◽

Shopping Behaviour ◽

Financial Concern ◽

Vintage Clothing ◽

Do So

Purpose – The study aims to examine whether and how second-hand clothing shoppers differ from non-shoppers on various psychographic variables, including environmentalism, perception of contamination, price sensitivity and perception of vintage clothing. Additionally, this study hopes to uncover whether and how the aforementioned psychographic variables help predict second-hand clothing shopping behaviour, specifically shopping frequency at second-hand clothing stores. Design/methodology/approach – Data were collected through a survey method from 152 college students. Findings – Results showed that college students who shopped at second-hand clothing stores were more likely to be environmentally conscious, more sensitive to higher prices and more likely to wear used clothing to express a vintage look and to be “green”, and to perceive used clothing to be less contaminated, as compared to those who did not shop at second-hand clothing stores. This study concluded that, among college students, second-hand clothing shoppers may do so not only for economic reasons but also for creation of style and feeling special about themselves. Research limitations/implications – This study suggests that college students who shop at second-hand clothing stores are different from those who do not shop at second-hand stores in terms of their environmental attitudes, perceptions of contamination from used clothing, sensitivity to prices and how they feel about vintage clothing. Further, financial concern (i.e. price sensitivity) is no longer the only reason for second-hand clothing shopping. Originality/value – Little research has been conducted to understand second-hand clothing shopping behaviour among college students. This study examined multiple psychographic variables and provided insights into college students’ second-hand shopping behaviour.

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Research on the Cultivation and Promotion of College Students’ Legal Quality and Legal Knowledge Based on Deep Learning

Wireless Communications and Mobile Computing ◽

10.1155/2021/8647298 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Cheng Cheng ◽

Wenlin Chen ◽

Ao Li

Keyword(s):

Neural Network ◽

College Students ◽

Deep Learning ◽

Survey Method ◽

Legal Consciousness ◽

Legal Knowledge ◽

Factors Affecting ◽

Interview Method ◽

Knowledge Based ◽

Explanatory Structure

Under the new situation, it is urgent to strengthen the cultivation of the legal consciousness of young college students, which makes the research on the cultivation and promotion of college students’ legal quality and legal knowledge become very important. This article is aimed at studying the cultivation and promotion of college students’ legal quality and legal knowledge based on deep learning. This article first analyzes the legal quality and legal knowledge level of college students by proposing a questionnaire survey method, interview method, and interdisciplinary research method and establishes an explanatory structure model of the factors affecting the legal quality of college students; secondly, it introduces the basic theories of deep learning and explains its practical application; finally, the training rules of neural network are constructed through experiments, and the stage method of legal quality training based on BP neural network is introduced in detail. Considering that virtual reality technology has recently penetrated into the game industry and other fields, we have reason to believe that it will find ways to enter the legal knowledge training industry. The experimental results of this article show that the cultivation and improvement of college students’ legal quality and legal knowledge based on deep learning can reduce the momentary confusion and impulsiveness of college students. Among them, more than 80% of college students who know a little about the Constitution account for more than 80%, which also shows the importance of cultivating and improving the laws and regulations of college students. The results show that the method is accurate and fast.

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Social media addiction: Its impact, mediation, and intervention

Cyberpsychology Journal of Psychosocial Research on Cyberspace ◽

10.5817/cp2019-1-4 ◽

2019 ◽

Vol 13 (1) ◽

Cited By ~ 17

Author(s):

Yubo Hou ◽

Dan Xiong ◽

Tonglin Jiang ◽

Lily Song ◽

Qi Wang

Keyword(s):

Mental Health ◽

College Students ◽

Social Media ◽

Academic Performance ◽

Intervention Program ◽

Self Esteem ◽

Adverse Outcomes ◽

Survey Method ◽

Social Media Addiction

This research examined the relations of social media addiction to college students' mental health and academic performance, investigated the role of self-esteem as a mediator for the relations, and further tested the effectiveness of an intervention in reducing social media addiction and its potential adverse outcomes. In Study 1, we used a survey method with a sample of college students (N = 232) and found that social media addiction was negatively associated with the students' mental health and academic performance and that the relation between social media addiction and mental health was mediated by self-esteem. In Study 2, we developed and tested a two-stage self-help intervention program. We recruited a sample of college students (N = 38) who met criteria for social media addiction to receive the intervention. Results showed that the intervention was effective in reducing the students’ social media addiction and improving their mental health and academic efficiency. The current studies yielded original findings that contribute to the empirical database on social media addiction and that have important theoretical and practical implications.

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