The poor student performance in the Programme for International Student Assessment has urged the Malaysian authorities to upskill teachers' professional learning. However, little is known about how instructional leadership contributes to teacher professional learning, especially in the Malaysian context. This study seeks to investigate the direct…

Modeling is an integral part of many computing-related disciplines and thus also represents a curricular core component in computing education in tertiary education. Competence models in which modeling is integrated at least to some extent already exist in some of these disciplines. However, for the core component of graphical modeling, a…

Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…

Introduction: The discussion around academic achievement in the context of distance education has raised the need to develop studies that allow identifying the variables that best predict it. The goal of this study was to analyze the fit of a structural equations model that assumes that sociodemographic variables, personality traits, motivation…

Peer Assisted Leaning (PAL) programmes have been shown to enhance learner confidence and have an overall positive effect on learner comprehension, particularly in subjects traditionally perceived as difficult. This research describes the findings of a three-cycle Action Research study into the perceived benefits of implementing such a programme…

Computational models of child language development can help us understand the cognitive underpinnings of the language learning process, which occurs along several linguistic levels at once (e.g., prosodic and phonological). However, in light of the replication crisis, modelers face the challenge of selecting representative and consolidated infant…

Communication skills are soft skills critical for students' development in educational institutions in the digital age. This study aims to determine the feasibility and practicality of a learning model, which combines digital storytelling with a metacognitive strategy called the DSTMC model. This learning model utilized digital storytelling as a…

An exploratory, within-subject study examined the extent to which 34 preservice teachers noticed the implementation of high-leverage practices (HLPs) in special education classrooms within three virtual field experiences (VFEs). The purpose of this study was to examine the extent to which preservice teachers could accurately identify HLPs across a…

Inquiry-based practices have important impacts on student science learning outcomes, yet the psychological mechanisms behind the relationships are less clear. This study aimed to explore the mediating effects of science attitudes in the relationship between student-perceived inquiry-based practices and scientific literacy using data from eight…

Outdoor environmental education programs frequently aim to influence participants' environmental values and behaviors. Published studies have frequently documented their success in doing so. However, few studies have examined the characteristics of programs in relation to accomplishing those goals. Using characteristics identified as important in…

There is a large amount of research that indicates that the use of 3DMP in STEM education improves students' knowledge, motivation, and participation in the learning process. Nevertheless, despite the existing attempts to market 3DMP in education, its adoption in schools remains low. A number of studies with teachers in secondary schools and…

This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…

Reading research in the United States has mainly focused on early or, less frequently, middle grades and on monolingual (MN or English-only) rather than on multilingual (ML) students. To address these gaps, we focused on factors contributing to high school ML students' reading achievement. In particular, we first used machine learning to identify…

The purpose of the study is to evaluate how prospective mathematics teachers (PMTs) modify tasks to facilitate students' learning of pattern generalization through the use of their mathematical knowledge for teaching. Case study, which is a type of qualitative research method, was used to determine the mathematical characteristics that PMTs use…