Online peer influences are associated with receptiveness of youths: The case of Shisha in Vietnam

Tran, Bach Xuan; Nguyen, Long H.; Vu, Giang Thu; Le, Huong Thi; Nguyen, Hinh Duc; Vuong, Quan‐Hoang; La, Phuong Viet; Hoang, Duc Anh; Dam, Nhue Van; Vuong, Thu Trang; Nguyen, Huong Lan Thi; Latkin, Carl A.; Zhang, Melvyn; Ho, Cyrus S.H.; Ho, Roger

doi:10.1016/j.childyouth.2019.01.032

Cited by 2 publications

(3 citation statements)

References 29 publications

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“…Poor health in teenagers and adolescents may be one of the reasons for procrastinating the assigned job. In Vietnam [57], a cross-sectional study gathering the participants from ten groups from high schools and universities also revealed the potential adverse impacts of risky online interactions and the harmful effects of Shisha smoking.…”

Section: Future Perspectivesmentioning

confidence: 99%

Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

et al. 2020

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Ubiquitous online learning is continuing to expand, and the factors affecting success and educational sustainability need to be quantified. Procrastination is one of the compelling characteristics that students observe as a failure to achieve the weaker outcomes. Past studies have mainly assessed the behaviors of procrastination by describing explanatory work. Throughout this research, we concentrate on predictive measures to identify and forecast procrastinator students by using ensemble machine learning models (i.e., Logistic Regression, Decision Tree, Gradient Boosting, and Forest). Our results indicate that the Gradient Boosting autotuned is a predictive champion model of high precision compared to the other default and hyper-parameterized tuned models in the pipeline. The accuracy we enumerated for the VALIDATION partition dataset is 91.77 percent, based on the Kolmogorov–Smirnov statistics. Additionally, our model allows teachers to monitor each procrastinator student who interacts with the web-based e-learning platform and take corrective action on the next day of the class. The earlier prediction of such procrastination behaviors would assist teachers in classifying students before completing the task, homework, or mastery of a skill, which is useful and a path to developing a sustainable atmosphere for education or education for sustainable development.

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Section: Future Perspectivesmentioning

confidence: 99%

Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

et al. 2020

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“…7,10 The most important reason for that is youngsters will acquaint themselves with such peers who have already established smoking habits, thus assuming the position of a role model for vulnerable youth. 11 Also, perception of social acceptance by such peers may drive them to continue smoking habits. 11 As far as environmental influences are concerned, advertisement of tobacco products, availability and ease to access are reasons for increase in use of those products.…”

Section: Introductionmentioning

confidence: 99%

“…11 Also, perception of social acceptance by such peers may drive them to continue smoking habits. 11 As far as environmental influences are concerned, advertisement of tobacco products, availability and ease to access are reasons for increase in use of those products. 12 Moreover, if this is coupled with a member of family, such as a parent; consuming tobacco, it will perpetuate habit of using tobacco amongst young individual as such atmosphere represents a receptive environment.…”

Section: Introductionmentioning

confidence: 99%

Influence of psychological and environmental factors on tobacco use amongst students

Tariq¹,

Akin²,

Bhatti³

2019

Preprint

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Aim of this study was to find out the influence of psychosocial and environmental factor on tobacco use amongst students. A cross sectional survey was conducted in 6 randomly selected Universities of Lahore from 1st to 28 September 2017. Seventy students were selected from each university through random sampling using lotery method using random number generator. Standardized global youth tobacco survey (GYTS) questionnaire was used. It was composed of pyschosocial & environmental factors and was hand distributed among students. The data were analyzed using SPSS 20. A total number of 420 students participated. Five incomplete responses were discorded. Females were 223 & males were 192. Majoristy of the participants belonged to the age group of 18-24 years. It was concluded that many students considered it a fun to do with friends.

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Online peer influences are associated with receptiveness of youths: The case of Shisha in Vietnam

Cited by 2 publications

References 29 publications

Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

Influence of psychological and environmental factors on tobacco use amongst students

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