Background: Student success is the foundation for maintaining programmatic accreditation in all healthcare education programs. There is limited research on admissions criteria and predictors of success in physical therapist assistant education. The goal of this study was to understand the relationship between admissions criteria and student…

The Impostor Phenomenon (IP) is a psychological construct that causes high-achieving individuals to doubt their competence, intelligence, and sense of belonging. IP has only recently been examined among people in the music education community. The student teaching experience is a time of transition and professional identity development for…

This research examines how the human genome and SES jointly and interactively shape verbal ability among youth in the U.S. The youth are aged 12-18 when the study starts. The research draws on findings from the latest GWAS as well as a rich set of longitudinal SES measures at individual, family and neighborhood levels from Add Health (N = 7194).…

Background/Context: Early warning indicators (EWI) are often used by states and districts to identify students who are not on track to finish high school, and provide supports/interventions to increase the odds the student will graduate. While EWI are diverse in terms of the academic behaviors they capture, research suggests that indicators like…

Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how…

This study investigated the influence of trait emotional intelligence (EI) and self-efficacy (SE) on English as a Second Language (ESL) teachers' effectiveness (TE). The study also explored the mediating role of teacher self-efficacy in augmenting the relationship between trait EI and teacher effectiveness. We adopted a quantitative survey design…

As artificial intelligence (AI) advances rapidly, it has been incorporated into formal education to facilitate subject-based learning. Integration of AI technologies to support learning requires teachers to intentionally design AI-assisted learning. However, there have been a limited number of empirical studies investigating teachers' behavioural…

Future education requires fostering high-level competencies to enhance student talent, and artificial intelligence (AI) can help in profile analysis. The aim was to determine the variables that predict the GPA of students in the 'Leaders of Tomorrow' program through an integrated methodology of data analytics, machine learning modeling, and…

This study addresses the challenge of teaching genetics effectively to high school students, a topic known to be particularly challenging. Leveraging the growing importance of artificial intelligence (AI) in education, the research explores the perspectives, attitudes, and behavioral intentions of pre-service teachers regarding the integration of…

This study analyzed the post-high school outcomes of exited high-school students with intellectual disability and autism spectrum disorder from a southwestern U.S. state. A predictive analytics approach was used to analyze these students' post-high school outcomes data, which every state is required to collect each year under U.S.…

Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…

The paper's main aim is to investigate and predict major factors in students' behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to earlier social network research, this one utilized a novel technique that comprised a two-phase…

Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…

This study scrutinized the effects of words' superiority, regularity, frequency and length on the intermediate and advanced EFL learner's visual word recognition. Moreover, it attempted to check whether each of these parameters could be statistically a significant predictor on recognition tasks. Accordingly, 118 intermediate and 127 advanced adult…

Previous studies showed that bilinguals tend to score lower on some language tests than monolinguals in each of their languages and outperform monolinguals on some cognitive tasks. We investigated whether short-term and working memory capacities that underlie language abilities differ between sequential bilinguals and monolinguals. We tested…