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…

In physical education and exercise science, it is common to examine mean differences between groups or to assess change across time. However, before group differences or change can be confidently examined, measurement invariance can be tested. Measurement invariance tests the equivalence of a construct across groups or across time. If measurement…

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…

Due to the pure novelty of the concept of teacher L2 grit, scant research attention has been dedicated to the exploration of its antecedents within the domain of foreign language education. Therefore, the present study aimed to explore whether English as a Foreign Language (EFL) teachers' L2 grit could be predicted by their sense of self-efficacy…

Research Findings: During the COVID-19 pandemic, the education system faced unprecedented challenges, including global school closures, the cancellation of face-to-face teaching, and ultimately school step-wise or partial reopening. Childcare providers have faced additional significant stressors from the beginning of the outbreak. The present…

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…

Non-cognitive outcomes like Academic Self-efficacy (ASE) and Intrinsic Goal Orientation (IGO) have a bearing on students' academic and life outcomes. Yet, the way teacher practices influence these outcomes has remained underexplored. We examined the influence of Teacher Innovative Behaviour (TIB) on students' IGO and ASE within a span of one…

Artificial Intelligence (AI) has become an important technology affecting the development of society and education, and it is crucial to explore AI to enhance students' creativity and learning performance. This research proposes the model and hypothesis based on the resource-based theory and related research. AI of higher education institute (HEI)…

Purpose: This study aims to look at the integration of gamification in an e-learning model based on the technology acceptance model. The data was collected from respondents residing in India and elements of gamification (achievement, immersion and social) and personal characteristics of learners (self-efficacy, computer anxiety and enjoyment) and…

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'…

Several key factors have emerged from the literature contributing to the explanation of STEM participation (or lack of), including mathematics mindset, mathematics anxiety, mathematics identity, and mathematics self-efficacy. Despite the research on the relations of these variables to career interest, few studies have integrated them and examined…

There is limited research regarding university students' academic achievement and what influences it. We argue that university students' academic achievement could be influenced by different factors to those observed for schoolchildren. We investigated whether university students' beliefs about intelligence ('implicit theories'), self-efficacy and…

Purpose: This study examines the direct and indirect effects of distributed leadership on teacher self-efficacy in multicultural classrooms (TSMC) through school capacity building, specifically teacher team innovativeness and a feedback network. Research Design: Using data from the Teaching and Learning International Survey 2018, this study…