The purpose of this book is to examine John Holland's theory of vocational personalities and work environments and extend it to other life decisions that involve effectively matching individuals with their life and work options. It is also intended to refresh the thinking of career counselors, advisors, managers, coaches, and others working in the…

Rural Brain Drain is a critical issue facing hundreds of non-metropolitan communities across the country. Existing research that addresses the outmigration of college graduates from rural areas primarily focuses on the reasons the graduates leave, and not on what influences the decision making of those who stay. This study adds to existing…

This article is the first installment of a new column in "Change: The Magazine of Higher Learning" which will explore current gaps, challenges, and trends in global higher education, as well as their implications for college and university leaders. In this issue, the author argues for taking into account data about international higher…

Objective: Psychologists have a responsibility to conduct standardised assessment according to instructions in test manuals and guidelines in assessment texts. In practice, circumstances arise that are not addressed in manuals and texts. The aim of this study was to explore the ways in which experienced psychologists manage some of these issues.…

In order processing, consecutive sequences (e.g., 1-2-3) are generally processed faster than nonconsecutive sequences (e.g., 1-3-5) (also referred to as the reverse distance effect). A common explanation for this effect is that order processing operates via a memory-based associative mechanism whereby consecutive sequences are processed faster…

What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…

We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…

This study addressed the cognitive impacts of providing correct and incorrect machine learning (ML) outputs in support of an object detection task. The study consisted of five experiments that manipulated the accuracy and importance of mock ML outputs. In each of the experiments, participants were given the T and L task with T-shaped targets and…

An extensive number of studies evaluating educational interventions are conducted and disseminated through peer-reviewed articles and conference presentations annually, but there is limited uptake of research among key stakeholders--educators and administrators (henceforth, practitioners; Farley-Ripple et al, 2018; Hollands et al., 2019; Slavin,…

As states and higher education institutions continue to face headwinds in attempting to develop and refine initiatives targeting student success metrics and enrollment management objectives, dual enrollment programs have become increasingly prevalent nationwide. Stakeholders have turned to these early postsecondary programs based on their…

Students with disabilities often take tests under different conditions than their peers do. Testing accommodations, which involve changes to test administration that maintain test content, include extending time limits, presenting written text through auditory means, and taking a test in a private room with fewer distractions. For some students…

This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…

Each day people make decisions about complex topics such as health and personal finances. Causal models of these domains have been created to aid decisions, but the resulting models are often complex and it is not known whether people can use them successfully. We investigate the trade-off between simplicity and complexity in decision making,…

The research of multi-category learning behaviors is a hot issue in interactive learning environment, and there are many challenges in data statistics and relationship modeling. We select the massive learning behaviors data of multiple periods and courses and study the decision application of regression analysis. First, based on the definition of…

Having access to accurate and reliable data is essential in decision-making. A wealth of data is spread across the University of Delaware (UD). These data include, but are not limited to, financial information, budget information, student enrollment, credit hours taught, and numerous metrics about faculty, staff, and sponsored programs. These data…