School classrooms within the EU are multilingual learning environments. The diversity of pupils in classrooms raises significant challenges for teachers, but to date, there are no data from large-scale surveys that compare views within and across European countries. A bespoke questionnaire was designed to examine views of current classroom…

Teaching presence has the potential to influence learning engagement. But the specific role of teaching presence in learning engagement is yet to be explored. Hence, I surveyed 1,328 college students in China through an online questionnaire. The structural equation modeling analysis result indicates that the five dimensions of teaching presence…

This study aims to examine relationships among critical thinking dispositions, perceived problem-solving skills and metacognitive awareness of gifted and talented students, and to test a structural equation model based on these relationships. The study was conducted using the correlational research design and the study group, which was selected by…

This study examines the effect of school socioeconomic composition on student achievement growth in Australian schooling, and its relationship with academic composition utilising the National Assessment Program--Literacy and Numeracy (NAPLAN) dataset. Previous research has found that school composition predicts a range of schooling outcomes. A…

Chi-square tests based on maximum likelihood (ML) estimation of covariance structures often incorrectly over-reject the null hypothesis: [sigma] = [sigma(theta)] when the sample size is small. Reweighted least squares (RLS) avoids this problem. In some models, the vector of parameter must contain means, variances, and covariances, yet whether RLS…

Measuring change in an educational or psychological construct over time is often achieved by repeatedly administering the same items to the same examinees over time and fitting a second-order latent growth curve model. However, latent growth modeling with full information maximum likelihood (FIML) estimation becomes computationally challenging…

Meta-analysis and structural equation modeling (SEM) are 2 of the most prominent statistical techniques employed in the behavioral, medical, and social sciences. They each have their own well-established research communities, terminologies, statistical models, software packages, and journals ("Research Synthesis Methods" and…

The Motivated Strategies for Learning Questionnaire (MSLQ) is one of the most widely used instruments to measure students' motivation and self-regulated learning. However, the MSLQ was developed and has been predominantly used in the Western context, is a domain-general measure, and is quite lengthy. Hence, adapting the MSLQ to the Chinese…

Technology-enhanced learning (TEL) is the use of a computer or other technology which provides education courses or training for students, such as online courses, off-line content, or mixed-mode delivery. The current study aims at developing a model to examine the effect of resource availability and students' subject interest on students'…

The implementation of China's Education Modernization Plan 2035 has signified the Chinese government's commitment to advancing the quality of education. Recent studies have shown that the prioritization of instructor continuous professional development (CPD) through the Ministry of Education mandates has positively affected talent development and…

The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…

The current research aimed to examine the relationships among three key aspects of the language learning process, namely, foreign language boredom (FLB), English language engagement (ELE), and academic buoyancy (AB), utilizing data collected from 2,992 Chinese language learners. In order to strengthen the accuracy and robustness of the results, we…

Organic chemistry presents a significant obstacle for students seeking entry into health-related professions. Students' ability to develop effective study approaches is an important predictor of success in the course. Herein, we report an investigation utilizing an OCH-adjusted M-ASSIST instrument to assess possible changes in students' study…

We test children's distributive and collective sentence interpretations and the variables that predict them. In our first experiment, we establish that adult English collective sentences with "the" or "some" in the subject are categorically collective in their interpretations. We further demonstrate that children's collective…

This study investigates in-depth information about the factors influencing the digital transformation of an educational establishment to becoming a high-performance education organization through the dimensions of digital enterprise architecture, digital transformation, and high-performance education organization using structural equation modeling…