The goal of a triathlon is to provide a challenge to the athlete, but this comes with inherent risks. The drowning rate of triathlon participants has increased exponentially over the years in open water triathlon venues. This study sought to understand the decision-making process of experienced lifeguards in the unique conditions of the open water…

Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…

This mixed methods study explores high school seniors' math course-taking decisions and what changes school leaders can take to increase the percentages of students taking four years of math in high school. Through an analysis of district-level administrative data and a survey completed by seniors at a high performing, diverse high school in…

The digital era has significantly reshaped journalism, emphasizing the pivotal role of data-driven reporting. This review delves into the nexus of data journalism and journalism education, investigating dominant study characteristics, challenges, and gaps for future research. Examining 41 relevant articles through the Arksey and O'Malley…

Expert intuition is increasingly considered to be a valid form of knowledge, and research has proven its effectiveness in judgment and decision making in various fields. Theorists seem to recognize the contributions of intuition within evaluative practice, but it has never been well-documented. This article presents a study on expert intuition,…

The large flood of data flowing from observatories presents significant challenges to astronomy and cosmology--challenges that will only be magnified by projects currently under development. Growth in both volume and velocity of astrophysics data is accelerating: whereas the Sloan Digital Sky Survey (SDSS) has produced 60 terabytes of data in the…

This paper explores Computational Thinking (CT) through the experiences and interactions of sixth-grade students as they were engaging in a science lesson utilizing robotics. This robotics unit institutes the shifting from traditional to engaging hands-on activities coupled with CT skills that are exciting, intriguing, and inviting to students.…

This research study explored robotics as the catalyst for computational thinking (CT) by sixth-grade students as they are engaged in a science lesson. The interactions, understandings, and applications are discussed, along with the participants' connections and implementations of CT concepts (decomposition, abstraction, pattern recognition, and…

This article analyses the rise of software systems in education governance, focusing on digital methods in the collection, calculation and circulation of educational data. It examines how software-mediated methods intervene in the ways educational institutions and actors are seen, known and acted upon through an analysis of the methodological…

Gonzalez and Dutt (2011) recently reported that trends during sampling, prior to a consequential risky decision, reveal a gradual movement from exploration to exploitation. That is, even when search imposes no immediate costs, people adopt the same pattern manifest in costly search: early exploration followed by later exploitation. From this…

Many models of recognition are derived from models originally applied to perception tasks, which assume that decisions from trial to trial are independent. While the independence assumption is violated for many perception tasks, we present the results of several experiments intended to relate memory and perception by exploring sequential…

Classroom level data driven decision-making (DDDM) involves the use of data to identify patterns of performance that reveal students' academic strengths and weaknesses relative to established learning goals, and the planning of instructional practices to support academic success for all students. Although DDDM is not a new paradigm in education,…

This study integrates agent research with a neurocognitive technique to study how character faces affect cognitive processing. The N170 event-related potential (ERP) was used to study face processing during simple decision-making tasks. Twenty-five adults responded to facial expressions (fear/neutral) presented in three designs…

Across two studies, we tested whether perceived social costs and benefits of confrontation would similarly predict confronting discrimination both when it was experienced and when it was observed as directed at others. Female undergraduate participants were asked to recall past experiences and observations of sexism, as well as their confronting…

This article discusses five generally accepted reasons to use data as a part of an educator's ongoing professional practice. Of course, there are many other more specific reasons one might look at data, but these five cover the overarching need in an educational setting. The five major purposes for using data are: (1) To enhance understanding and…