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A Cross-Cultural Investigation on Perseverance, Self-Regulated Learning, Motivation, and Achievement
Xu, Kate M.; Cunha-Harvey, Anna Rita; King, Ronnel B.; de Koning, Bjorn B.; Paas, Fred; Baars, Martine; Zhang, Jingjing; de Groot, Renate – Compare: A Journal of Comparative and International Education, 2023
Research on grit indicates that perseverance positively predicts academic achievement. Yet, the mechanisms through which perseverance might lead to academic success remain less explored, particularly in cross-cultural research. The current study investigated such mechanisms by examining possible mediating effects of students' use of self-regulated…
Descriptors: Metacognition, Prediction, Academic Persistence, Academic Achievement
Teravainen-Goff, Anne; Clark, Christina – National Literacy Trust, 2019
How good a reader a child is relates to how financially capable they are. Indeed, this report shows that children and young people who have good reading skills are four times as likely to have good financial skills compared with their peers who have poor reading skills. The reasons for this link are complex, and we bring together three broad areas…
Descriptors: Reading Skills, Money Management, Knowledge Level, Learning Motivation
Lam, Kelly Ka Lai; Zhou, Mingming – Journal of Educational Psychology, 2022
This review examined the relations between grit and academic achievement based on a meta-analysis of 137 studies yielding 156 dependent samples (N = 285,331). Using the robust variance estimation, we found that the correlations of overall grit level with academic achievement were generally weak to moderate (weighted r = 0.19). The correlation of…
Descriptors: Personality Traits, Academic Persistence, Academic Achievement, Correlation
Debeer, Dries; Buchholz, Janine; Hartig, Johannes; Janssen, Rianne – Journal of Educational and Behavioral Statistics, 2014
In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement…
Descriptors: Reading Tests, International Programs, Testing Programs, Individual Differences
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection