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…

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…

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…

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…

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…

Much discussion in higher education has focused upon predicting student learning, and how to identify students who may be at particular risk of failure. Little research has actually tackled that challenge, and research on the scholarship of teaching and learning (SoTL) in this areas is scarce; this study does so by measuring students across three…

Social isolation during the COVID-19 pandemic increased negative affect and feelings of loneliness among university students. Objective: Given that identifying as a member of a social group, like a university student, serves as a protective factor against diminished well-being, we examined whether students' social identity might offer a…

Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…

The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…

The evolution education experiences of students of color represent an emerging area of research, because past inquiries indicate these students have differential outcomes, such as lower evolution acceptance and severe underrepresentation in evolutionary biology. Religion is often an important support for students of color who are navigating a…

The aim of this study was to determine the relationship between the students' level of organizational identification, level of hope and perceived stress. The study group consisted of 280 students studying at the Faculty of Sport Sciences of Erciyes University in 2017-2018 academic year. When we look at the students' demographic information; 63.6%…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…