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Full-Text Articles in Education
Factors Predicting Mathematics Achievement In Pisa: A Systematic Review, Xiaofang S. Wang, Laura B. Perry, Anabela Malpique, Tobias Ide
Factors Predicting Mathematics Achievement In Pisa: A Systematic Review, Xiaofang S. Wang, Laura B. Perry, Anabela Malpique, Tobias Ide
Research outputs 2022 to 2026
The Programme for International Student Assessment (PISA) has become the world’s largest comparative assessment of academic achievement. While hundreds of studies have examined the factors predicting student achievement in PISA, a comprehensive overview of the main predictors has yet to be completed. To address this gap, we conducted a systematic literature review of factors predicting mathematics performance in PISA. Guided by Bronfenbrenner’s ecological model of human development, we synthesized the findings of 156 peer reviewed articles. The analysis identified 135 factors that fall into five broad categories: individual student, household context, school community, education systems and macro society. The analysis …
Associations Between Instagram Addiction, Academic Performance, Social Anxiety, Depression, And Life Satisfaction Among University Students, Behzad Foroughi, Mark D. Griffiths, Mohammad Iranmanesh, Yashar Salamzadeh
Associations Between Instagram Addiction, Academic Performance, Social Anxiety, Depression, And Life Satisfaction Among University Students, Behzad Foroughi, Mark D. Griffiths, Mohammad Iranmanesh, Yashar Salamzadeh
Research outputs 2014 to 2021
The use of social networking sites (SNSs) has become increasingly popular. Although several studies have been carried out on the addictive use of SNSs such as Twitter and Facebook, there is little research on Instagram addiction and its drivers. The present study investigated the association between students’ needs and Instagram addiction by incorporating physical activity as a moderator among 364 university students. Additionally, the associations between Instagram addiction, academic performance, depression, social anxiety, and life satisfaction were investigated. The results showed that recognition needs, social needs, and entertainment needs all contributed to Instagram addiction. However, information needs were not a …
Peeping Into The Learning World Of Secondary Teacher Trainees: Can Their Academic Success Be Predicted?, Mamta Garg
Peeping Into The Learning World Of Secondary Teacher Trainees: Can Their Academic Success Be Predicted?, Mamta Garg
Australian Journal of Teacher Education
The study investigated the styles of learning and thinking, study habits, achievement motivation of teacher trainees along with their attitude towards teaching and perception for B.Ed. course. It also explored the predictors that may determine the academic success of these pre-service teachers. The data were analyzed by employing product moment correlation, factor analysis and multiple regression. Findings showed that a total of 29.7% variance in marks in theory papers may be explained a total of 29.7% variance was explained by eight measures whereas five measures contributed towards the explanation of 29.5% variance in skills in teaching. But only three predictors …