While prior work has explored the relationship between career-focused educational programming on deviant and criminal behavior for incarcerated and delinquent individuals, there is little empirical evidence as to how career and technical education (CTE) participation in traditional high school settings may link to later interaction with the…

Prosocial behaviours appear very early in a child's development, suggesting that they are the basis for building social relationships. Previous studies have shown that two main factors influence decisions about pro-social behaviour: in-group membership and reciprocity. The main aim of this study was to investigate which of these motives children…

This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested…

In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…

Selection methods are commonly used in talent acquisition to predict future job performance and to find the best candidates, but questionnaire-based assessments can be lengthy and lead to candidate fatigue and poor engagement, affecting completion rates and producing poor data. Gamification can mitigate some of these issues through greater…

Purpose: Our audio--vocal system involves a negative feedback system that functions to correct for fundamental frequency (f[subscript 0]) errors in production. Therefore, automatic and opposing responses appear when an unexpected change in voice pitch is present in auditory feedback. This study explores following responses to pitch perturbation in…

The goal of this study was to describe how underlying vocabulary knowledge manifests into vocabulary usage, and in turn, how usage predicts writing quality among adult basic education (ABE) learners. ABE learners were administered tasks that measured vocabulary knowledge, in the forms of both vocabulary breadth and depth. Participants were also…

Objectives: The purpose of this study is to examine the influence of social media engagement, which includes frequency of using social media platforms (FSMP) and social media involvement, on the academic distraction and academic performance of the student. The study further tests the moderating role of attention control on the relationship between…

This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

New student success interventions generate costs for colleges (for example, staff time and supplies). However, if they lead more students to remain enrolled, cause students to attempt more credits, and improve longer-term student outcomes, they can also generate tuition revenue and state funding (for public institutions in states that allocate…

Given the rapid growth of K-12 online learning, research is needed in the effective identification of at-risk students so that administrators and teachers can develop appropriate supports and interventions. The purpose of this research was to determine if student success in an online course could be predicted for English Learners (EL) using…

Upon the advent of the COVID-19 pandemic, hundreds of higher education institutions in the United States temporarily or permanently adopted test- optional admissions policies. Growth in the number of test- optional institutions and the longstanding criticism of standardized admissions tests as limited and unreliable predictors of college success…

Soliciting predictions about hypothetical memory performance (without having participants engage in a related memory task) is a simple way for researchers to examine people's metacognitive beliefs about how memory functions. Using this methodology, researchers can vary what information is provided as part of the scenario or how the memory…

The "surprisingly popular" method (SP) of aggregating individual judgments has shown promise in overcoming a weakness of other crowdsourcing methods--situations in which the majority is incorrect. This method relies on participants' estimates of other participants' judgments; when an option is chosen more often than the average…