With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…

This study examines how well in-service teachers in Hong Kong (N = 1,110) are supported in their efforts to teach in inclusive classrooms. It also examines the psychometric properties of the newly developed Teachers' Perceived Support Needs scale to measure in-service teachers' perceived support needs. Factors that predict teachers' perceived…

How do teachers perceive and experience the impact of evaluation feedback across various domains of their work? This study investigates whether there are qualitatively distinct groups of teachers in the United States based on teacher perceived impact of evaluation feedback using the 2013 Teaching and Learning International Survey (TALIS 2013).…

Migration-related risk factors may impact the association between coping strategies, resilience, and identity development, one of the fundamental developmental tasks in adolescence. We examined the relationship between resilience and coping strategies in immigrant and non-immigrant adolescents' identity development. On a sample of Turkish…

Personality has been found to have significant connections to language. Ranging from impacting narrative style, to informing expectations about others based on linguistic factors such as accent, personality affects both language comprehension and production (Oberlander & Gill, 2004; Van den Brink et al., 2012). However, research in this area…

Second language (L2) enjoyment has gained recent interest, but little research has attended to the sources of L2 vocabulary learning enjoyment. Drawing on the regulatory focus theory and the assumption that advancing toward a goal can contribute greatly to learning enjoyment, this study examined the extent L2 vocabulary selves and capacity for…

This study investigated daily motivation regulation as a multilevel mediator of undergraduate students' intrinsic and extrinsic motivation and academic functioning. Undergraduate students (N = 124) completed measures on motivation, motivation regulation, and study time for 10 consecutive days leading up to a statistics exam. Bayesian multilevel…

Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

Teachers' well-being and self-efficacy are two important factors linked to quality education. Recent research examining their bidirectionality has revealed inconsistent findings, while those examining the relationships among pre-service and in-service teachers are scarce. This study investigates the reciprocal relationships between teachers'…

Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…

Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…

Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…

Contributions: Prior studies on education have mostly followed the model of the cross-sectional study, namely, examining the pretest and the posttest scores. This article shows that students' knowledge throughout the intervention can be estimated by time-series analysis using a hidden Markov model (HMM). Background: Analyzing time series and the…

This essay describes the work of faculty at a public university in the southeast to align their application process with CPED principles through the addition of structured behavioral interviews. Their work was grounded in the premise that redefinition of the EdD program to focus on the successful preparation of scholarly practitioners also…

Why do students vary in their performance on exams? It may be that their test preparation is insufficient because they overestimate their anticipated grade. Our study investigates four issues related to performance on a final examination. First, we analyze whether students' ability to accurately predict their grade and their subjective confidence…