scholarly journals Academic self-regulation and its relationship with Sternberg's thinking styles, academic achievement, and course of disease in adolescents with cancer

2017 ◽  
Vol 4 (4) ◽  
pp. 136
Author(s):  
Roghayeh Poursaberi ◽  
MohammadMehdi Mohammadi
Keyword(s):  
Academic Achievement ◽  
Self Regulation ◽  
Thinking Styles ◽  
Course Of Disease

Self-regulation as promotive for academic achievement in young children across risk contexts

2021 ◽  
Vol 58 ◽  
pp. 101050
Author(s):  
Rebecca Distefano ◽  
Amanda Grenell ◽  
Alyssa R. Palmer ◽  
Kerry Houlihan ◽  
Ann S. Masten ◽  
...  
Keyword(s):  
Academic Achievement ◽  
Young Children ◽  
Self Regulation

scholarly journals Examining the Relations Between Self-Regulation and Achievement in Third-Grade Students

2016 ◽  
Vol 42 (2) ◽  
pp. 97-109 ◽  
Author(s):  
Stephanie L. Day ◽  
Carol McDonald Connor
Keyword(s):  
Academic Achievement ◽  
Working Memory ◽  
Inhibitory Control ◽  
Hierarchical Linear Modeling ◽  
Self Regulation ◽  
Scoring Systems ◽  
Third Grade ◽  
Linear Modeling ◽  
Third Grade Students ◽  
Study Results

Children with stronger self-regulation skills generally demonstrate greater overall success in school both academically and socially. However, there are few valid and reliable measures of self-regulation in middle elementary school. Such a measure could help identify whether a child is truly having difficulties. Thus, the Remembering Rules and Regulation Picture Task (RRRP) was developed. The aim of this study was to develop scoring systems for the RRRP and then to examine the associations between RRRP and independent measures of self-regulation and academic achievement in mathematics and reading. Children ( N = 282) from 34 third-grade classrooms in Florida participated in this study. Results revealed that the RRRP captured three constructs: working memory, attentional flexibility, and inhibitory control. Hierarchical linear modeling (HLM) demonstrated that the RRRP was significantly and positively associated with other measures of self-regulation. The RRRP was significantly and positively associated with mathematics and reading as well. The RRRP appears to be a promising measure of children’s self-regulation skills.

Higher education amid COVID-19 pandemic: contributions from resilience, positive orientation and grit

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Afsaneh Ghanizadeh
Keyword(s):  
Academic Achievement ◽  
University Students ◽  
Structural Equation ◽  
Online Survey ◽  
Self Regulation ◽  
Academic Resilience ◽  
Equation Modeling ◽  
Positive Orientation ◽  
Major Purpose ◽  
Content Type

PurposeThe major purpose of the present study is to investigate the contribution of academic resilience in accounting for two motivational and attitudinal constructs ? Grit and positive orientation and also probe the predictive power of all these constructs in academic achievement of university students in the midst of the pandemic COVID-19.Design/methodology/approach521 university students participated in an online survey. To measure academic resilience, a scale designed and validated by Kim and Kim (2016) comprising 26 items was employed. The scale contains five sub-factors: perceived happiness, empathy, sociability, persistence and self-regulation. Grit was assessed via an 8-item scale comprising two facets: perseverance of effort (PE) and consistency of interest (CI). It was designed by Duckworth and Gross (2014). Positive orientation was determined through positivity scale developed by Caprara et al. (2010), consisting of eight items.FindingsThe results of structural equation modeling (SEM) revealed that resilience positively and significantly predicted both grit (β = 0.56, t = 6.41) and positive orientation (β = 0.54, t = 6.35). Resilience also predicted academic achievement directly (β = 0.71, t = 9.12) and indirectly via its impact on grit and positive orientation. It was also found that positive orientation and grit are positively and highly associated (β = 0.77, t = 9.28).Originality/valueThe pandemic COVID-19 brought about substantial changes in university students' education and their overall life style. Many university students around the globe experienced virtual education. Balancing personal and academic roles in these unprecedented conditions seems to be a tough challenge for every university student.

Web-Mediated Problem-Based Learning and Computer Programming: Effects of Study Approach on Academic Achievement and Attitude

2017 ◽  
Vol 56 (2) ◽  
pp. 272-292 ◽  
Author(s):  
Mustafa Yağcı
Keyword(s):  
Academic Achievement ◽  
Relevant Literature ◽  
Problem Based Learning ◽  
Semiempirical Method ◽  
Thinking Skills ◽  
Thinking Styles ◽  
Complex Nature ◽  
Study Approach ◽  
Students Attitudes ◽  
High Level

In the relevant literature, it is often debated whether learning programming requires high-level thinking skills, the lack of which consequently results in the failure of students in programming. The complex nature of programming and individual differences, including study approaches, thinking styles, and the focus of supervision, all have an effect on students’ achievement in programming. How students learn programming and the relationships between their study approaches and their achievement in programming have not yet been adequately illuminated. In this regard, the present study aims to investigate the effect of the study approach used on students’ attitudes toward programming and on their academic achievement within an online problem-based learning environment. In this study, a single-factor, pretest posttest single group and semiempirical method was utilized. The study was conducted on 41 students from a public university in Turkey. To implement problem-based learning activities, a teaching environment was created with the Moodle platform, allowing for group work and discussions. Seven status of the problems were prepared exclusively for the 12-week application period so that students could make suggestions about how to solve them. In the data collection phase, the Study Approach Scale, the Attitude Towards Programming Scale, and the Academic Achievement Test were employed. T-test and covariance analyses were carried out in the statistical analysis phase. According to the findings of the present study, students adopting the “deep” study approach were more successful than the students adopting a “superficial” approach. Moreover, it was determined that the problem-based learning application had a positive effect on students’ attitudes toward programming and that the study approach did not significantly affect the students’ attitude toward programming.

scholarly journals Direct and indirect pathways from children’s early self-regulation to academic achievement in fifth grade in Norway

2020 ◽  
Vol 53 ◽  
pp. 612-624 ◽  
Author(s):  
Ragnhild Lenes ◽  
Megan M. McClelland ◽  
Dieuwer ten Braak ◽  
Thormod Idsøe ◽  
Ingunn Størksen
Keyword(s):  
Academic Achievement ◽  
Self Regulation ◽  
Fifth Grade

scholarly journals Life Satisfaction in Adolescents: The Role of Individual and Social Health Assets

2018 ◽  
Vol 21 ◽  
Author(s):  
Luis Calmeiro ◽  
Inês Camacho ◽  
Margarida Gaspar de Matos
Keyword(s):  
Academic Achievement ◽  
Life Satisfaction ◽  
Regression Analysis ◽  
Social Competence ◽  
Family Support ◽  
School Connectedness ◽  
Self Regulation ◽  
Well Being ◽  
Social Health ◽  
Health Assets

AbstractThe aim of this study is to explore the relationship between adolescents’ life satisfaction and individual and social health assets. A nationally representative sample of 3,494 Portuguese adolescents (mean age = 14.94 ± 1.30 years; 53.6% girls) completed the Health Behavior in School-aged Children survey measuring a variety of health behaviors and beliefs. A sequential regression analysis was conducted with gender, individual assets (academic achievement, social competence, self-regulation and life objectives) and social assets (family support, peer support, parental monitoring and school connectedness) entered in separate steps. A second regression analysis was conducted with social assets entered before individual assets. The final model explained 18.3% of life satisfaction. School connectedness (β = .198, p < .001) and family support (β = .154, p < .001) were the strongest predictors of adolescents’ life satisfaction followed by social competence (β = .152, p < .001), academic achievement (β = .116, p < .001) and self-regulation (β = .064, p < .001). Social assets explained a larger variance of life satisfaction than individual assets when entered first in the regression (r2 = .134 and r2 = .119, respectively, p < .001). When entered last step in the regression analysis, social assets added more to life satisfaction’s variance than when individual assets were added in the last step (r2 = .060 and r2 = .045, respectively, p < .001). These results reinforce the role social interaction and social capital models in the promotion of well-being.

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