Common ways to test associations between two repeatedly measured constructs have two primary limitations. Studies often report the average effects and ignore the heterogeneity. Independently interpreted autoregression and cross-lagged coefficients (i.e. local effects) may not match the holistic dynamic patterns (i.e. considering all coefficients…

Despite the burgeoning adoption of informal learning in people's daily lives, the actual effects of informal learning activities, especially technology-related informal learning activities, are much less reported than those of formal learning. Furthermore, there is a notable lack of research on the effects of technology-related informal…

Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…

This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…

Differentiated instruction remains one of the most important frameworks for the global education community to achieve sustainable educational development goals and inclusive education. It is also one of the most critical challenges for teachers in different subjects. This study used structural equation modeling to examine the role of teachers'…

Within the field of teacher education, the concept of self-efficacy--which includes teachers' self-perceptions of their competence and abilities in particular tasks--has attracted a lot of attention. It shows how confident a teacher is in their ability to help students achieve the learning objectives. In spite of its critical importance, there…

This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…

The general purpose of this research is to test the applicability of the career construction model with the structural equation model in explaining the relationships between adaptive readiness (personality traits and hope), adaptability resources (career adaptability) and adapting responses (career decision-making self-efficacy). This research was…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…

Religion has been associated with human values and competencies needed to shape young people into responsible citizens able to make a positive difference in the lives of others. However, this correlation remains dependent on the context. As the correlation has not yet been investigated in Mauritius, which is a multicultural and multi-ethnic…