The consequence of a change in school leadership (e.g., principal turnover) on student achievement has important implications for education policy. The impact of such an event can be estimated via the popular Difference in Difference (DiD) estimator, where those schools with a turnover event are compared to a selected set of schools that did not…

University student academic competitions can test students' learning outcomes, improve their academic performance and stimulate their interest in learning. Exploring the behavioural mechanisms influencing students' academic competition is quite important, but there is currently little research on this topic. This study aims to fill this gap in the…

In the current longitudinal study, we investigated the structure of students' (N = 1,469) specific growth constructs and their broader growth orientation using a bifactor exploratory structural equation model. We also examined the extent to which each of these components was associated with gains in students' academic and nonacademic outcomes…

The main goal of the current paper was to determine the effects of perceived school climate dimensions (leadership, relationships, professional learning-teaching climate, safety, and physical environment) on students' learning performance in upper primary schools. Correlational design consisted of structural equation modeling with mediation…

Given the recent attention to language-domain-specific grit in the field of SLA and the scarcity of research on the antecedents of L2 grit, we proposed a model that links L2 learners' basic psychological needs (BPN) (i.e. autonomy, competence, and relatedness), L2 grit (i.e. perseverance of effort (PE) and consistency of interest (CI)), and L2…

Based on the self-determination theory (SDT), this evaluates the effects of generative artificial intelligence (Gen-AI) on learning performance within China's education sector, emphasizing the roles of social interaction, utilitarian benefit, knowledge acquisition, and epistemic curiosity. The study employs a dual method, using PLS-SEM and fsQCA…

This meta-analysis examined whether motivation mediated the relationship between self-efficacy, locus of control, and academic achievement. Thirty-seven studies providing correlation estimates for 40 different samples were included in the analysis. The data from these studies were fitted to three models using a two-stage structural equation…

Despite the growing emphasis on student success in higher education globally, limited research has examined the complex interplay of factors influencing academic outcomes in developing contexts, particularly in Sub-Saharan Africa. This study addresses this gap by employing structural equation modelling (SEM) with Diagonally Weighted Least Squares…

This study was conducted to reveal the role of 4th grade students' level of metacognitive awareness in predicting their academic achievement. The Relational Survey Method, one of the quantitative data collection methods, was used in the study. The study group was selected through random sampling method. It consists of 526 fourth grade students…

The present study examined the convergent validity between two frequently used achievement goal instruments: Patterns of Adaptive Learning Scales (PALS) and the Achievement Goal Questionnaire 3 x 2 (AGQ 3 x 2). Confirmatory factor analysis and structural equation models tested for relationships both within and across the scales in a sample of…

Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…

The primary objective of this paper is twofold; firstly, to analyse the relationship between metacognitive strategies and learning performance. Secondly, a new mediator is proposed, namely digital literacy. Mental resilience is an omnitemporal skill that enables individuals to gain resilience thinking to successfully adapt to life tasks. Although…

The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…

Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated…

Studies indicate that learners' cognitive style (CS), self-regulated learning (SRL), and working memory (WM) are associated with their academic performance. These studies describe the relationship of academic achievement with SRL, CS, or WM individually or pairwise relationships between SRL, CS, and WM rather than the overall relationship between…