Exclusionary school discipline is one of the primary ways that schools address student behavior. Existing scholarship has focused on examining the implications of exclusionary school discipline for two sets of outcomes: academic achievement and future juvenile and criminal legal involvement. However, these two areas of scholarship are largely…

The development of social skills (SS) and creative potential is of great interest to researchers in educational and organizational contexts. The present study aimed to understand the relationship between SS and the use of creative strategies to solve problems in the work environment of college teachers. The study included 386 faculty members of…

This study used quantitative hierarchical regression modeling to investigate factors influencing student grades in the context of online tutoring, guided by Tinto's persistence theory. The purpose of this quantitative predictive correlational study was to determine if and to what extent do demographics (gender and age), prior academic success…

Existing research consistently indicates that Black girls are assigned disproportionately exclusionary disciplinary consequences such as, suspension and expulsion rates, surpassing their White counterparts and Black boys. According to the Report to Congressional Requesters, (United States Governmental Accountability Office, 2018), exclusionary…

This research study explored the level of student engagement that transfer students experience and how these levels can predict their persistence. This quantitative study utilized secondary data from the National Survey of Student Engagement (NSSE). George Kuh's Theory of Student Engagement guided this study and influenced the development of the…

Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…

Drawing on a 2022 survey of home education of junior secondary school students in China's eight provincial administrative regions, this study seeks to examine the chief factors influencing the generation of education anxiety in Chinese middle-class parents using a moderated mediation model. Research findings include that: (1) education anxiety is…

Evidence from Canada suggests that accent bias can be moderated by speakers' demonstrated job-relevant performance and the prestige level of their occupation (Teló et al. 2022). In this study, we replicated Teló et al.'s (2022) work in Brazil. First language (L1) Brazilian Portuguese-speaking listeners rated audio recordings of L1 Brazilian…

The self-oriented and other-oriented empathy dimensions may have different relationships with playfulness. However, a scarcity of research exists on the association between empathy and playfulness. The present research contained two studies. Parents of 386 preschoolers (M[subscript age] = 4.89, SD[subscript age] = 0.79) attended Study 1, and…

Well-designed admission criteria can predict the likelihood of students succeeding in the medical program. This study aims to evaluate the predictive capability of the admission qualifications used in the Pamantasan ng Lungsod ng Maynila (PLM) College of Medicine concerning the academic performance of first-year medical students. Data from 1,203…

In the past decade, moderated mediation analysis has been extensively and increasingly employed in social and behavioral sciences. With its widespread use, it is particularly important to ensure the moderated mediation analysis will not bring spurious results. Spurious effects have been studied in both mediation and moderation analysis, but this…

Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…

Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…

The community of inquiry (CoI) framework is commonly used to study online learners' engagement and satisfaction. However, few studies have examined CoI's ability to predict online undergraduate students' end-of-course grades. The purpose of this quantitative hierarchical multiple regression study was to determine the ability of the CoI framework…

Objective: Accelerated Second-Degree (ASD) programs play a crucial role in addressing the nursing shortage. However, when ASD students drop out, it negatively impacts all involved parties. Despite facing similar challenges as adult learners, some ASD students successfully graduate while others do not. By comparing and contrasting these two groups,…