In this article, I present a new multivariate regression model for analyzing outcomes with network dependence. The model is capable to account for two types of outcome dependence including the mean dependence that allows the outcome to depend on selected features of a known dependence network and the error dependence that allows the outcome to be…

This research examines the relationship between prerequisite algebra knowledge and graduate corporate finance course performance. Standardized math questions designed for an undergraduate introductory finance course also predict quantitative performance metrics among 128 business graduate students. Results demonstrate that prerequisite math…

The present research examined whether U.S. infants can recognize in others a pattern of helping or hindering after watching such behaviors across multiple scenarios. Infants at 17 months watched three familiarization events in which a person (recipient) failed to achieve various goals and another person (actor) always helped or hindered the…

Responding to a prospective memory task in the course of an ongoing activity requires switching tasks, which typically comes at a cost in performing the ongoing activity. Similarly, when the prospective memory task is deactivated, a cost can occur when previously relevant prospective memory targets appear in the course of the ongoing activity. In…

A disadvantage to online clothes shopping is the inability to try on clothing to test the fit. A class project is discussed where students consult with the CEO of an online mensware clothing company to explore ways in which an online clothing customer can be assured of a superior fit by developing statistical models based on a shopper's height and…

This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course…

Over thirty years after such systems were first developed, the Integrated Library System underlies most operations of an academic library. Yet in the literature, its day-to-day maintenance is often reduced to a list of tasks. Through interviews with sixteen system maintainers, this study attempts to develop an experiential understanding of its…

Transportation Security is considered one of the important aspects of U. S. Critical Infrastructure resilience and civil security. However, safety issues in transportation regarding 'struck-by' incidents involving Emergency First Responders (EFRs) (Fire, Police, and EMS) while performing essential duties on roadways stand to diminish this…

This case study examines the use of electronic resources in academic institutions and the difficulties in forecasting their usage. By employing time series analysis-based models, the study forecasts the utilization of e-resources from 2012 to 2021. It concludes that both Autoregressive Integrated Moving Average (ARIMA) and Error, Trend, Seasonal…

The close relationship between working memory and maths problem solving is generally accepted, but the specifics of how working memory and its subcomponents contribute to maths problem solving remain poorly understood. Tests of working memory, maths problem problem solving, calculation, and intelligence were administered to 246 university…

This research aims to determine to what extent temperament and parent-child relationship predict the prosocial behaviors of 60-72-month-old children. The study group of the research consists of 313 mothers and 126 fathers. Data analyzes were carried out separately in mother and father groups. "Personal Information Form", "Child…

In the post-COVID-19 higher education landscape, administrators must question the legacy of their programs and methods to rise up and meet not only the technological integrations that are a part of educational infrastructures but the demands of the profession moving it beyond the twenty-first century. Since the twentieth-century, first-year…

Data from a moderately-selective state university in the Midwest is used to cross-examine the most appropriate data analytical techniques for predicting versus explaining college student persistence decisions. The current research provides an overview of the relative benefits of models specializing in prediction versus explanation with particular…

Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…

This volume centres the notion of "chance" in education as a key concept in contemporary education -- relating to aspects like accountability, datafication, or international large-scale assessments -- and discusses the impact that the historical desire to "tame" this notion has had on present-day educational policy and…