Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…

Across continental Europe, educational research samples are often divided by 'migrant background', a binary variable criticized for masking participant heterogeneity and reinforcing exclusionary norms of belonging. This study endorses more meaningful, representative, and precise research by offering four guiding questions for selecting relevant,…

The impact of the COVID-19 pandemic on the higher education sector has been overwhelming, with emergency responses that have affected decision-making processes. Yet, our understanding of higher education instructors' perspectives regarding the process of data-driven decisions, especially in times of emergency, is still limited. We aimed at…

This article outlines how Master of Public Administration (MPA)/Master of Public Policy (MPP) programs can integrate a project-based learning opportunity to study curricular design and accreditation needs in their quantitative courses. Bridging together theory and the practical implications of data collection and analysis is important for…

Climate change put most species' survival in danger because it substantially affects the climate in which the species live, the quality of the water they drink, as well as the temperature of the air or water. When climate change increases the temperature of the climate, excessive evaporation occurs in lands, lakes, seas, and oceans. Our purpose in…

Suburbs were once a haven for advantaged, White families to avoid city life and access high-status schools. This urban-suburban divide, however, has changed in recent decades as suburban communities (and their school districts) have diversified. This study provides an updated cross-sectional portrait of recent racial-ethnic segregation and…

This article analyzes U.S. Department of Education data on appropriations on Pell Grants using the new Mission-Driven Classification (MDC) to disaggregate enrollment, finance, and need-based Pell Grant data by major public higher education sector and, within community colleges, by geography (rural, suburban, and urban) as well as by the presence…

The purpose of this article is to describe the analytic process of a method of data collection known as Q Methodology. This method is an alternative method in collecting data especially suited to research on "points of views" (Coogan & Herrington, 2011, p. 24). The analytic process of Q methodology involves factor analysis, a…

This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of "learning" in MOOCs…

The increasing use of digital systems to support learning leads to a growth in data regarding both learning processes and related contexts. Learning Analytics offers critical insights from these data, through an innovative combination of tools and techniques. In this paper, we explore students' activities in a MOOC from the perspective of personal…

Statistics is one of the important branches of mathematics taught in schools, colleges and universities. It is also an important tool in public policy discussions. This paper focuses on the use of statistics in the latter context, rather than its use in adult mathematics education research. I review the key characteristics of the statistical…

Collecting multiple perspectives data (e.g. from related individuals) in a qualitative longitudinal design can provide rich understanding of the dynamics at play in complex relational systems, and the different perceptions of people involved. However, such approaches are inherently challenging due to the complexity and volume of data involved. So…

This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…

Mixed methods, cross-cultural designs are a special case of the more general, mixed methods between-groups designs. The defining feature of mixed methods is the principled integration of qualitative and quantitative approaches, and cross-cultural comparison is premised on the systematic collection and analysis of data from two or more cultural…

Latent change score models (LCSMs) proposed by McArdle (McArdle, 2000, 2009; McArdle & Nesselroade, 1994) offer a powerful tool for longitudinal data analysis. They are becoming increasingly popular in social and behavioral research (e.g., Gerstorf et al., 2007; Ghisletta & Lindenberger, 2005; King et al., 2006; Raz et al., 2008). Although…