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.…

School psychology state associations are given the monumental task of translating best practices for advocacy into intentional actions for members. This responsibility, paired with the numerous task demands placed on volunteer organizations, can be problematic when deciding how to approach key issues within a state that are important to school…

Sequential lineups are one of the most commonly used procedures in police departments across the USA. Although this procedure has been the target of much experimental research, there has been comparatively little work formally modeling it, especially the sequential nature of the judgments that it elicits. There are also important gaps in our…

Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…

The digital evaluation field is a new area that arises in the core of education and studies highlight the importance of editing data as well as using ICT to drive internal school improvement. Data- Driven Decision Making (DDDM in advance) executes relatively simple models on carefully targeted data extracted through target questionnaires. This…

From 2017-2020, 15 universities collaborated to create and share OER for a bachelor nursing program. A study was undertaken to analyse the impact of the project activities leading to the commitment to work towards sustaining the initiative. The project was described using the ESH model (Weggeman, 2000). Two sub-studies provided the results on the…

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…

In this article, we introduce the four component model (FCM), which describes both the internal processes that play distinct roles in the production of moral behavior and their associated sets of relevant, teachable skills. We use this model as an analytic framework to examine college students' moral character experiences reported in the Wabash…

When asked to determine whether a syllogistic argument is deductively valid, people are influenced by their prior beliefs about the believability of the conclusion. Recently, two competing explanations for this belief bias effect have been proposed, each based on signal detection theory (SDT). Under a response bias explanation, people set more…

Given the importance of education and the growing public demand for improving education quality under tight budget constraints, there has been an emerging movement to call for research-informed decisions in educational resource allocation. Despite the abundance of rigorous studies on the effectiveness, cost, and implementation of educational…

Lauren A. Turner and A. J. Angulo explore how institutional theory can be applied to explain variance in higher education organizational strategies. Given strong regulatory, normative, and cultural-cognitive pressures to conform, they ask, why do some colleges engage in high-risk decision making? To answer this, they bring together classic and…

Higher education institutions are aware of the need to incorporate learning-driven assessment artifacts into their doctoral programs to ensure successful leadership development. However, in attempting to integrate learning into students' future performance, it appears that there is no general agreement upon the most effective assignments. The…

From an examination of the current textbooks and literature concerning judgment and decision-making models used in outdoor adventure leadership, it is easy to see that they are still deeply rooted in the classical decision-making theory. In this article, I will (a) outline the importance of good judgment and decision making in an outdoor adventure…

Corporations need a skilled workforce that can quickly develop new competencies in order to master the latest demands of their work environments. Because a college degree has a shelf-life of less than two years and many skills last even less at 12 to 18 months (Meister, 1998), businesses have begun constructing their own in-house universities to…

This dissertation investigates the effect of observational learning in crowdsourcing markets as a lens to identify appropriate mechanism(s) for sustaining this increasingly popular business model. Observational learning occurs when crowdsourcing participating agents obtain knowledge from signals they observe in the marketplace and incorporate such…