Students involve themselves in learning activities multidimensionally, including behaviorally, cognitively, emotionally, and agentically. This multidimensional involvement predicts important outcomes, but it is also possible that each type of engagement might have its own specialized purpose or function. To investigate this possibility, we…

Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…

In the present meta-analysis, we systematically examined the association between students' initial level of metacognition and their academic achievement at least three months later. Using multilevel meta-analysis as well as meta-analytic structural equation modelling, we analysed data from 71,171 students provided by 28 independent studies. The…

Many individuals with poor reading comprehension have levels of reading comprehension that are consistent with deficits in their ability to decode the words on the page. However, there are individuals who are poor at reading comprehension despite being adequate at decoding. This phenomenon is referred to as specific reading comprehension deficit…

Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers' non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in…

Students' academic achievement is a central predictor of a long list of important educational outcomes, such as access to higher education and socioeconomic success. Prior studies have extensively focused on identifying variables that are related to academic achievement and an important variable in this context appears to be students' personality.…

This meta-analytic study examined the validity of Gordon's music aptitude tests as predictors of other musical variables. The four tests analyzed were the Music Aptitude Profile (1965), Primary Measures of Music Audiation (1979), Intermediate Measures of Music Audiation (1982), and Advanced Measures of Music Audiation (1989). Separate analyses…

Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…

Purpose: The health belief model (HBM) is the behavioral change theory most widely used in health behavior studies. Several studies have identified the limitations of this model, one of which concerns the validity in predicting behavioral changes. The purpose of this paper, scoping review, is to map the validity of HBM variables in predicting…

Teacher wellbeing has received widespread and increasing global attention over the last decade due to high teacher turnover, growing teacher shortages, and the goal of improving the quality of teaching and student performance. No review has yet sought to undertake a cumulative quantitative assessment of the literature pertaining to teacher…

The association between intolerance of uncertainty and anxiety has proved robust in neurotypical populations and has led to effective interventions targeting intolerance of uncertainty. The aim of this systematic review and meta-analysis was to investigate this association in autistic people, given the high prevalence of anxiety in this population…

Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…

Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…

Previous meta-analyses highlight the role of executive functions (EF), encompassing working memory, task-switching, and inhibition, in reading comprehension, but have not demarcated its role in decoding, defined as use of orthographic patterns to access oral pronunciations. According to the dual-route model, decoding involves parallel activation…

Purpose: Narrative assessment is one potentially underutilized and inconsistent method speech-language pathologists may use when considering a diagnosis of developmental language disorder (DLD). However, narration research encompasses many varied methodologies. This systematic review and meta-analysis aimed to (1) investigate how various narrative…