Using a 33-item 5-point Likert scale and partial least squares structural equation modeling approach, this study examined the role of 347 Chinese college first-year students' selfregulated learning as a mediator among social and cognitive presences and their learning satisfaction in an asynchronous online course during the COVID-19 pandemic.…

The university curriculum has been urged to incorporate 21st-century digital competence and skills, particularly information literacy, in accordance with recommendations made by numerous organizations, including the Scientific and Cultural Organization (UNESCO) and the International Society for Technology in Education (ISTE). Instructors are then…

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…

Since mobile devices have become cheaper, easily accessible, powerful, and popular and the cost of wireless access has declined gradually, mobile learning (m-learning) has begun to spread rapidly. To further improve the effectiveness and efficiency of m-learning for university students, it is critical to understand whether they use m-learning.…

It is widely recognized and accepted that behavioral intention is the key direct determinant of technology use and the majority of research continues to promote this practice. Yet the influence of behavioral intention (i.e., an individual's conscious plan to use a technology) has been called into question more recently, as behavioral intention…

There are many factors which affect the level of self-directed learning readiness. This study aims to investigate the relationship between external factors, internal factors and self-directed learning readiness. This study was carried out by using a census method for fourth year students of medical program of Tadulako University. Data were…

This study aims to explore the differences between male and female users' behaviour with regard to acceptance of social media for learning in higher educational institutions. For this purpose, a survey was conducted and the least square regression analysis approach was utilised to investigate the relationships among the constructs in the research…

This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students' interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal…

This study aims to examine an untested research model that explains the direct- and indirect influences of Academic Coping, Friendship Quality, and Student Engagement on Student Quality of School Life. This study employed the quantitative-based cross-sectional survey method. The sample consisted of 2400 Malaysian secondary Form Four students…

The two-stage least squares approach together with quantile regression analysis is adopted here to estimate the educational production function. Such a methodology is able to capture the extreme behaviors of the two tails of students' performance and the estimation outcomes have important policy implications. Our empirical study is applied to the…

This study aims to examine the key training factors that significantly impact the learning outcomes of trainees. A comprehensive framework is proposed to investigate the interrelationships among various training components, trainer performance, training usefulness, and their effects on metacognition and learning. Empirical testing of the model is…

"Research Findings": Online Teaching Video Cases (OTVCs) are an increasingly utilized digital learning resource for training pre-service preschool teachers (PPTs). This study employed an integrated framework integrating the Technology Acceptance Model (TAM) and the Expectation Confirmation Model (ECM) to examine the factors that…

Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional…

This study examined the influence of growth-fostering mentoring relationships on the self-esteem of adolescent female students from affluent communities. Studies have demonstrated that this population of students is susceptible to psychological distress and self-esteem problems, due to perfectionistic strivings and achievement pressures.…

The COVID-19 pandemic dramatically impacted the global post-secondary education environment beginning March 2020, leaving many classes using the traditional face-to-face delivery method scrambling to adapt. This paper describes the process used in response to COVID to convert a traditional lecture-style business intelligence class to a flipped…