Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…

We examined the outcomes of elementary school-based problem-solving teams (PSTs) who participated in a multi-component consultation focused on enhancing systematic problem solving. Consultation provided to each PST included training in the use of a problem-solving protocol (i.e., "Outcomes: Planning Monitoring, and Evaluating"…

The purpose of this study was to determine which of the input and output variables made a statistically significant difference in the efficiency status of undergraduate departments offering Health Management education in Turkey, to identify areas where inefficient departments could improve, and to determine which of the input and output variables…

In this investigation, the extent to which differences were present in the mathematics achievement by the ethnicity/race of Grade 3 students in Texas were analyzed. Data obtained from the Texas Education Agency Public Education Information Management System for all Texas Grade 3 students who took the State of Texas Assessment of Academic Readiness…

T. Philip Nichols and Alexander Monea explore the spread of data-driven surveillance (i.e., dataveillance) technologies in schools, which are increasingly used as a strategy for mitigating safety risks. They argue that the sense of security schools derive from these technologies often comes at the cost of students' actual well-being and privacy.…

Purpose: The goal of this study is to explore how content creators engage in critical data literacies on TikTok, a social media site that encourages the creation and dissemination of user-created, short-form videos. Critical data literacies encompass the ability to reason with, critique, control, and repurpose data for creative uses. Existing work…

Schools, state and local education and workforce agencies, colleges, career education and training programs, and employers collect and use education and workforce data. But without a connected, cohesive system through which students, job seekers, and college and career counselors can get that information, it often remains just out of reach for…

Spreadsheets have long played a key role in business operations. The use and adoption of data analytics has significantly increased over the last few years and amplified this role. Spreadsheets are often a first tool for data analytics as such applications provide ease of calculation of basic statistics and chart development. For much of the last…

This dissertation adopted the three-article format. The entire dissertation aims to explore Describing Critical Statistical Literacy Habits of Mind (CSLHM). The first article describes the creation of the CSLHM framework. The second describes how secondary preservice mathematics teachers enact CSLHM. The third article describes a common and an…

This paper describes the role of data and task context in young children's interpretation of and reasoning about data tables. A design-based descriptive study was conducted with fourteen 5-year-old children in their first year of formal schooling. A picture storybook provided the data context for a data modelling activity that focused on…

In February 2018, the IIEP-UNESCO Office in Dakar, with the support of Agence Française de Développement, launched a programme to support the monitoring of education quality in sub-Saharan Africa. The programme's primary objective is to assist education authorities in diagnosing and regulating their practices across all levels, contributing to the…

Engaging and motivating students in undergraduate statistics courses can be enhanced by using topical peer-reviewed publications for analyses as part of course assignments. Given the popularity of on-campus therapy dog stress-reduction programs, this topic fosters buy-in from students whilst providing information regarding the importance of mental…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

Meta-analysis and structural equation modeling (SEM) are 2 of the most prominent statistical techniques employed in the behavioral, medical, and social sciences. They each have their own well-established research communities, terminologies, statistical models, software packages, and journals ("Research Synthesis Methods" and…

In order to demonstrate the value of higher education and evaluate the effectiveness of various policies and practices, researchers are increasingly expected to merge data from the Integrated Postsecondary Education Data System (IPEDS) with a range of other federal and private-sector data sources. In this article, I detail a number of the most…