In this paper, we examine whether early warning signals from accounting courses (such as early engagement and early formative performance) are predictive of first-year progression outcomes, and whether this data is more predictive than personal data (such as gender and prior achievement). Using a machine learning approach, results from a sample of…

Research suggests support for harsher sanctions for wrongdoers increase in association with the perceived severity of the harm caused. To date, however, research has focused mostly on retributive modes of punishment and has less often addressed restorative sanctions. Furthermore, research has documented racial disparities in conduct sanctioning,…

The purpose of this study was to investigate possible predictive relationships between interval identification and melodic dictation performance on tasks where students identify short pitch spans after a brief tonicization. College musicians (N = 35) completed an interval identification test and a series of melodic dictation tasks. Results…

This study investigates the predictive validity of lower extremity strength, strength asymmetry, and soccer-specific fitness in talent identification among elite male youth soccer players. Employing a Retrospective Cohort design, we established a cohort consisting of K-League registered youth players, totaling 219 individuals (all males, aged 16…

Addressing and creating awareness on the topic of neuromyths in educational sciences has increased in recent years. We know very little about how widespread the belief in neuromyths is among pre-service teacher students and whether this belief affects their subsequent approach to teaching and consequently possibly also the performance of their…

Research suggests individuals' support for harsher sanctions for wrongdoers increase in association with the perceived severity of the harm caused. To date, however, research has focused mostly on retributive modes of punishment and has less often addressed restorative sanctions. Furthermore, research has documented racial disparities in conduct…

We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…

It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…

Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…

Background/purpose: This study investigates how knowledge, attitudes, and practices (KAP) influence cybersecurity awareness (CSA) among students in Thai educational institutions. The research addresses regional disparities in cybersecurity readiness by incorporating a culturally responsive adaptation of the KAP model. Materials/methods: A…

Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…

"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…

Objectives: To examine college peer crowd affiliations and prosocial and risky behaviors (academic, sexual, drug, and alcohol related risks) as well as to investigate gender as a moderator of these relations. Participants: 527 students at a public university in the Midwest in Fall 2018 (M age = 19.67, SD = 1.84). Method: Students' peer crowd…

As states incorporate measures of college readiness into their accountability systems, school and district leaders need effective strategies to identify and support students at risk of not enrolling in college. Although there is an abundant literature on early warning indicators for high school dropout, fewer studies focus on indicators for…

COVID-19 changed university life worldwide as campuses closed or offered restricted inperson teaching. Whilst early evidence suggests that educational experiences were satisfactory, concerns were raised about the impact of COVID-19 on social and psychological elements of university including student loneliness. We conducted a UK-wide…