In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…

Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…

Social entrepreneurship is a planned behaviour and rapidly gaining its importance in society. This complex process can be understood by studying intention which is the single best predictor of subsequent behaviour. It helps in understanding the reasons behind the actions undertaken and the manner in which potential entrepreneurs decide and act to…

Objective: Extreme sport participation and injury rates have increased in recent decades. This study aimed to investigate sub-dimensions of impulsivity and sensation seeking that contribute to participation and injury risk in extreme sports. Participants: Data included cross-sectional survey responses from 7,109 college students (Mage=19.68, SD =…

Results from a genome-wide association study (GWAS) can be used to generate a polygenic score (PGS), an individual-level measure summarizing identified genetic influence on a trait dispersed across the genome. For complex, behavioral traits, the association between an individual's PGS and their phenotype may contain bias (from geographic,…

Evidence-based early interventions for autism spectrum disorder (ASD) have been shown to improve child outcomes and quality of life (Lord et al., 2018; Reichow et al., 2018; Smith & Iadarola, 2015). However, response to intervention is variable across both children and implementation contexts. Understanding factors that influence this…

Introduction: The concept and study of relevance has been a central subject in information science. Although research in information retrieval has been focused on topical relevance, other kinds of relevance are also important and justify further study. Motivational relevance is typically inferred by criteria such as user satisfaction and success.…

To sustain students' continuous learning in a COVID-19 pandemic context, schools and universities have shifted traditional classroom teaching to synchronous online teaching. However, there is limited understanding of acceptance and adoption of synchronous online teaching by university teachers of English as a foreign language (EFL). This study,…

Background: The COVID-19 pandemic has quickly spread around the world, and since currently no treatments that are safe and effective for large groups of people nor a vaccine are available, the best way to prevent the illness is to avoid being exposed to the virus causing it. The purpose of this study was to examine the predictive effects of both…

Psychologists have become increasingly interested in the intra-individual variability of psychological measures as a meaningful distinguishing characteristic of persons. Assessments of intra-individual variability are frequently based on the repeated administration of self-report rating scale instruments, and extreme response style (ERS) has the…

Using Korean Longitudinal Study of Aging data, we examined the influence of older adults' individual characteristics (i.e. marital status, health and economic status) on life satisfaction, with the mediating effect of older adults' active participation in lifelong learning. As a result, some individual characteristics appeared to significantly…

Background: Information seeking is crucial in the health behavior context. Cancer information seeking may play a key role in individuals' perceptions and subsequent health behaviors. Purpose: The purpose of this study is to investigate the influence of cancer information seeking on perceptions of cancer worry, fatalism and risk. Methods: Data from…

Logistic regression is a popular tool used to build and evaluate binary choice models. It has been applied in a variety of situations and contexts involving dichotomous choice. In the current paper, we apply it to explain and predict the individual choice of adopting online learning through a Massive Online Open Course (MOOC), a specific artefact…

The purpose of this study was to investigate the relationships between gameplay enjoyment, gaming goal orientations, and individual characteristics. A total of 301 participants were surveyed and the data were analyzed using structural equation modeling. This led to an expanded Gameplay Enjoyment Model (GEM) with 41 game design features that…

This study tracks students' progression through developmental math sequences and defines progression as both attempting and passing each level of the sequence. A model of successful progression in developmental education was built utilizing individual-, institutional-, and developmental math-level factors. Employing step-wise logistic regression…