Enrollment of students with disabilities in postsecondary education is rising, with a significant increase from 11 percent in 2004 to 21 percent in 2020. The growth rate of this population underscores the need for comprehensive and reliable data about their experiences and outcomes in higher education. Despite these trends, the field lacks robust…

Career and technical education (CTE) and apprenticeship share many common goals, combining workplace skills with academic knowledge. Yet, until recently, CTE and Registered Apprenticeship (RA) were entirely separate systems in the United States. CTE programs are embedded in secondary and postsecondary educational institutions, while RA has…

The Machine Actionable Plans (MAP) Pilot project provides institutions with resources to enable them to explore the potential uses of machine-actionable data-management plans (maDMPs). The pilot was funded by the Institute of Museum and Library Services (IMLS LG-254861-OLS-23) and grew out of a partnership between the California Digital Library…

Digital transformation in schools involves the use of digital data to inform teachers' pedagogical decisions. Previous research indicates that a deeper understanding of the factors influencing teacher utilization of learning analytics and a comprehensive school context analysis is required. In this article, we conducted a survey study with N =…

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…

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…

This playbook provides ways in which Higher Education Agencies (sometimes referred as the State Higher Education Executive Officers) and teams can blur the lines between high school, postsecondary education, and the workforce. Higher Education Agencies (HEAs) play a significant role to Raise the Bar for student success by developing an…

The legal and ethical use of Big Data and Learning Analytics in academic libraries has been widely debated. Analyzing large data sets has tremendous potential for libraries to implement changes that help students and prove the library's value to the university. The librarian's role in safeguarding patron privacy in a university setting where…

The authors developed a teaching project for students to debate data and workplace privacy dilemmas, formulate plans of action for the use of certain data about workers and job applicants, and apply the law to reach and defend their solutions. The purpose of this versatile exercise is to sensitize both undergraduate and graduate business students…

This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…

Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…

School closures in response to the COVID-19 pandemic have dramatically changed the conditions in which students learn and experience schooling. Disparities in students' access to learning and in their academic outcomes are likely to exacerbate longstanding challenges and inequities. Now more than ever, educators need information that will help…

Building a culture of data governance at a higher education institution involves collaboration across the entire institution. Before the creation of formalized roles to perform data management and data governance functions at colleges and universities, these functions were performed by traditional institutional research personnel. Documentation…

This paper characterizes the ways in which increased attention to response process data has implications for psychometrics. To do so, this work draws on two organizing frameworks that have heretofore not been associated: evidence-centered design, and the distinction between greater and lesser statistics. Overlaying these frameworks leads to a…