This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…

Several factors seem important to understand the nature of mathematical learning. Byrnes and Miller combined these factors into the Opportunity-Propensity model. In this study the model was used to predict the number-processing factor and the arithmetic fluency in grade 4 (n = 195) and grade 5 (n = 213). Gender, intelligence and affect (positive…

Situated within a positive psychology perspective, the current study examined the relations among academic achievement, self-esteem, and subjective well-being (SWB) in school among Chinese elementary school students using a longitudinal mediation model. A total of 807 elementary school students (M[subscript age] = 9.43 years; 52.9% male) completed…

The important role that metacognition plays as a predictor for student mathematical learning and for mathematical problem-solving, has been extensively documented. But only recently has attention turned to primary grades, and more research is needed at this level. The goals of this paper are threefold: (1) to present metacognitive framework during…

Previous studies offer mixed evidence regarding whether a unified model of reading comprehension predictors applies to Dual Language Learners (DLLs) and English Speakers (ESs), or whether distinctive models across language groups are empirically supported. The present study adds another dimension to this body of work by examining multiple reading…

Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…

The primary aim of this study was to examine the structure of processing speed (PS) in middle childhood by comparing five theoretically driven models of PS. The models consisted of two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output modality model, and a timing modality…

Recent literature on high school graduation and drop out have shifted the focus from identifying causes of drop out to identifying students who are at risk of dropping out. The Early Warning Systems (EWS) used to identify students seek to use existing data to predict which students have a greater risk of dropping out of school so that schools can…

This study examines the development of the reading comprehension of young learners of Chinese as a second language (CSL) in Hong Kong, with reference to the Simple View of Reading model. The model postulates that reading comprehension is a product of decoding and linguistic comprehension. A sample of 121 ethnic minority senior primary students was…

Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…

In this study, the Trends in International Mathematics and Science Study 2007 data were used to build mathematics achievement models of fourth graders in two East Asian school systems: Hong Kong and Singapore. In each school system, eight variables at student level and nine variables at school/class level were incorporated to build an achievement…

Background: Although Indonesia is one of the world's most populated countries with a high penetration of internet usage there has been little research on SNS usage in Indonesia, especially involving children. Instead, SNS research in Indonesia has focused on university students and political, marketing, and disaster mitigation issues. Aim/Purpose:…

Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow…

Students perform better in school to the extent they are able to engage fully, cope adaptively, and bounce back from obstacles and setbacks in their academic work. These three processes, which studies suggest are positively inter-connected, may comprise a self-sustaining system that enables "motivational resilience." Using…

Purpose: The purpose of this study was to determine the acute dose-response relationship of classroom exercise breaks with executive function and math performance in 9- to 12-year-old children by comparing 5-min, 10-min, or 20-min classroom exercise breaks to 10 min of sedentary classroom activity. Method: This study used a within-subjects…