This explanatory sequential mixed-methods study explored the role of cognitive and noncognitive constructs, namely volitional competence, grit and metacognitive awareness in the academic achievement among online higher education learners in the Philippines. The first phase of the study involved the administration of the survey to 403 learners.…

The purpose of this quantitative correlational-predictive study was to determine if and to what extent Online Full Time Faculty's (OFTF) Emotional Intelligence (EI) Self-Perception, Self-Expression, Interpersonal, Decision Making, and Stress Management, individually and combined, predicted Online Student Success in an online higher education…

The current study considered the role of broad life orientations of university students on their academic engagement and burnout within the context of COVID-19 pandemic. Specifically, the purpose of this study was to examine whether life purpose orientations predicted student academic engagement and burnout directly and indirectly through…

According to the heuristic model of emotion socialization by Eisenberg et al., parental reactions to children's negative emotions (RCNE) have an important role in this socialization process; however, its effects on children's social-emotional outcomes may be moderated by the children's temperament. This longitudinal study verified this proposition…

The pervasive adoption of online learning in educational systems worldwide has resulted in delivering this learning to digital natives, today's university students. In this context, it is crucial to acknowledge the significance of students' satisfaction in determining the success or failure of online learning. This study examines the impact of the…

This study investigated direct and indirect pathways from listening comprehension (LC) to reading comprehension (RC) via fluent word reading (FWR) in grades 1-3, and path equivalence across these grades. LC's total effects predicting RC range from 0.45 to 0.59 in grades 1-3, a stronger relationship than found in previous studies. Overall, LC's…

This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course…

The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…

Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…

Government investment in early childhood education and care (ECEC) supports children's ongoing development, learning and wellbeing, and delivers the skills and knowledge required for a thriving society and economy. Assessing the efficiency of this investment, as well as methods for ongoing monitoring are important steps in delivering effective…

Mendelian randomization (MR) uses genetic variants as instrumental variables to infer whether a risk factor causally affects a health outcome. Meta-analysis has been used historically in MR to combine results from separate epidemiological studies, with each study using a small but select group of genetic variants. In recent years, it has been used…

Suppression effects in multiple linear regression are one of the most elusive phenomena in the educational and psychological measurement literature. The question is, How can including a variable, which is completely unrelated to the criterion variable, in regression models significantly increase the predictive power of the regression models? In…

Automobile Insurance fraud costs the insurance industry billions of dollars annually. This case study addresses claim fraud based on data extracted from Alpha Insurance's automobile claim database. Students are provided the business problem and data sets. Initially, the students are required to develop their hypotheses and analyze the data. This…

Purpose: This study aimed to examine the relationship between a large set of hypothesized physiological measures of vocal effort and self-ratings of vocal effort. Method: Twenty-six healthy adults modulated speech rate and vocal effort during repetitions of the utterance /ifi/, followed by self-perceptual ratings of vocal effort on a visual analog…

Educational institutions show their activities in an intense environment and lead the generations that will be the architects of the future. Considering the importance of education, it is important for academics to transfer their knowledge and experience to students by blending them with scientific data in this intense environment. However, in…