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…

Most students with emotional and behavioral disorders (EBD) have challenging classroom behaviors and poor postschool outcomes. Self-determination promotes positive classroom behavior and successful postschool outcomes. By incorporating choice-making, an element of self-determination, teachers across grade levels can address behavioral issues and…

Behind every thriving school or district are deeply interconnected teams that consistently engage in a reciprocal transfer of learning. "Leading with Intention" aims to make this process visible by helping leaders and teachers understand how their thinking impacts their decision-making and the overall well-being of their learning…

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…

Constant change exists in today's information technology (IT)-centric world, where IT leaders should strategically select the best approach to managing projects. A hybrid approach combines aspects from two established methodologies (predictive and adaptive) to create a process that can better align with the project's needs. The problem is IT…

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…

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…

We use the insights of firms' organizational economics to study school chains' organization. We match information on decentralization of activities for approximately 400 chains and 2,000 schools in England to student and school administrative records. Chains with a larger share of schools whose leadership background is aligned with the chain's…

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,…

Decision-making between professionals and families is an integral part of early intervention (EI), as reflected by family-centered philosophies and practices embodied in the Division for Early Childhood's (DEC, 2014) Recommended Practices. In this article, the author first briefly defines decision-making and two forms of decision-making relevant…

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…