We present a case study to teach data visualization with Tableau in an introductory business analytics course. The case uses publicly available data sets from touringplans.com that record wait times for various attractions at Disney World in Orlando, Florida. In the case study, students use Tableau to clean, organize, and analyze wait time data,…

Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…

In recent decades, education leaders and researchers have increasingly sought to disaggregate key higher education outcome data--graduation rates, attainment, employment, and income--by race and ethnicity in order to uncover and narrow equity gaps. The same is true, recently, for affordability, especially as it relates to the differential impact…

Simplified categorizations have often led to college students being labeled as full-time or part-time students. However, at many universities student enrollment patterns can be much more complicated, as it is not uncommon for students to alternate between full-time and part-time enrollment each semester based on finances, scheduling, or family…

The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…

Adjunct faculty have become the new majority faculty on campuses across the country. There are two theories why adjunct faculty are so relied upon: cost or contingency. Some institutions may employ adjunct faculty for cost-savings reasons. In contrast, other institutions may depend on the contingent, temporary nature of the employment contracts to…

Programmatic text analysis can be used to understand patterns and reveal trends in data that would otherwise be difficult or impossible to uncover with manual coding methods. This work uses programmatic text analysis, specifically term frequency counts, to study nearly 10,000 chemistry thesis and dissertation titles from 1911-2015. The thesis and…

Bethune-Cookman University's Center for Undergraduate Research Excellence has operated a summer research program since 2014. An interdisciplinary team of faculty mentors and student research fellows examined variables impacting juvenile delinquency and risk of recidivism within Florida, using a database of more than 64,000 youth who aged out of…

Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…

Peer-review software is often used to allow authors to evaluate their code and its technical text content. In education, peer review is a common practice used not only to evaluate the quality of academic research but also to measure students' engagement in the classroom. In visualization education, numerous researchers have addressed techniques of…

The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors.…

We present an analysis of log data from a semester's use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time…

Objective: The present study extends research on campus smoking bans by examining where smokers are violating the policy at a large university in the southeastern region of the United States. Participants: The data collection was conducted by one graduate student from the university in August of 2014. Methods: A global positioning system device…

State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…

The retail industry is undergoing a significant transformation. Factors such as technological advancement and evolving consumer demands have forced companies to rethink their traditional approaches to retail. Retailers have since embraced data-driven strategies with real-time implementation to stay relevant in this complex, ever-changing industry.…