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Direct linkZack J. Damon; Michael E. Ellis – Sport Management Education Journal, 2025
Sport analytics remains a growing area in the sport industry. As such, the demand for skills and knowledge in this area has grown. This demand includes off-field data, such as marketing trends, as well as financial data related to sport organizations. There has been a trickle-down effect in sport management (and other) education programs to teach…
Descriptors: Athletics, Data Collection, Data Analysis, Coding
John J. Cheslock – Research in Higher Education, 2025
The IPEDS Finance survey is a key resource for academic research, policy analysis, and efforts to improve transparency and accountability. However, the data from the survey can be difficult to use properly. This research note addresses a specific challenge: how to incorporate the $16 billion in revenues and expenditures reported annually within…
Descriptors: Institutional Characteristics, Postsecondary Education, Data Collection, Educational Finance
Kankana Mukhopadhyay; Siok Kuan Tambyah; Fong Kai Jun – Sage Research Methods Cases, 2025
In this case study, we discuss the affordances of using vignettes in a survey to capture the perceptions of the actual experiences from diverse participants in short-term overseas experiential learning trips, even after a significant time lag. The evidence is drawn from an ongoing research study examining the impact of these trips on various…
Descriptors: Experiential Learning, Field Trips, Data Collection, College Students
Liyanachchi Mahesha Harshani De Silva; María Jesús Rodríguez-Triana; Irene-Angelica Chounta; Gerti Pishtari – Journal of Computing in Higher Education, 2025
With technological advances, institutional stakeholders are considering evidence-based developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on student learning, dropouts, program quality, and overall educational effectiveness. However, little is known about the CA state of the art in Higher Education Institutions…
Descriptors: Learning Analytics, Curriculum Evaluation, Higher Education, Stakeholders
Download full textErin L. Castro; Amy Lerman – Metropolitan Universities, 2025
The challenge: This paper examines the state of knowledge and evaluation in prison higher education. Little is known about its efforts, outcomes, and impact or about the students enrolled in such efforts. Potential consequences: Incarcerated college students are a disenfranchised population with restricted autonomy. Without understanding prison…
Descriptors: Correctional Education, Higher Education, Student Evaluation, Barriers
Aimee Quickfall; Phil Wood – Sage Research Methods Cases, 2025
Since the COVID-19 pandemic, online interviews have become a cheap and practical way to collect research data with no need to travel, from the comfort of your office or home. In 2023, we interviewed online 15 academics working in initial teacher education using an unstructured interview approach, without a schedule of interview questions or…
Descriptors: Interviews, Computer Mediated Communication, Ethics, Research Methodology
Sean M. Baser; Mónica Maldonado; Matt T. Dean; William B. Walker Jr.; Erik C. Ness – State Higher Education Executive Officers, 2025
States serve as the central authority in higher education oversight, playing a critical role in consumer protection and quality assurance within the regulatory triad and as an independent regulatory entity. However, there is a notable gap in understanding the components of renewal processes, how agencies implement them in practice, and the…
Descriptors: State Agencies, Accountability, State Regulation, Governance
Sean M. Baser – State Higher Education Executive Officers, 2025
Student outcome data is essential for decision-making in higher education, informing choices at the student, institutional, and state levels. Within state authorization--the gatekeeping process for institutional entry, continued operation, and closure--these data support oversight, accountability, and consumer transparency. This brief summarizes…
Descriptors: Data Use, State Regulation, Governance, Higher Education
Sean M. Baser; William B. Walker Jr.; Matt T. Dean; Mónica Maldonado – State Higher Education Executive Officers, 2025
State regulators are the central authority in higher-education oversight, charged with ensuring consumer protection and quality assurance within the regulatory triad. Yet gaps remain in the understanding of regulatory renewal processes, their real-world implementation, and the capacity challenges these agencies face. To address this, State Higher…
Descriptors: Higher Education, State Regulation, Governance, Accountability
Juliette Woodrow; Sanmi Koyejo; Chris Piech – International Educational Data Mining Society, 2025
High-quality feedback requires understanding of a student's work, insights into what concepts would help them improve, and language that matches the preferences of the specific teaching team. While Large Language Models (LLMs) can generate coherent feedback, adapting these responses to align with specific teacher preferences remains an open…
Descriptors: Feedback (Response), Artificial Intelligence, Teacher Attitudes, Preferences
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Kalista Peña – Tribal College Journal of American Indian Higher Education, 2025
Native nations have long proven their resilience against the odds, consistently paving a path forward and exercising their sovereign rights as autonomous, self-governing peoples. As the world embarks upon an increasingly digital age, Indigenous peoples face a new threat: datafication. Datafication is "turning nearly every aspect of human life…
Descriptors: Minority Serving Institutions, Tribally Controlled Education, Tribal Sovereignty, Data Use
Kaitlyn Coburn; Kris Troy; Carly A. Busch; Naomi Barber-Choi; Kevin M. Bonney; Brock Couch; Marcos E. García-Ojeda; Rachel Hutto; Lauryn Famble; Matt Flagg; Tracy Gladding; Anna Kowalkowski; Carlos Landaverde; Stanley M. Lo; Kimberly MacLeod; Blessed Mbogo; Taya Misheva; Andy Trinh; Rebecca Vides; Erik Wieboldt; Cara Gormally; Jeffrey Maloy – CBE - Life Sciences Education, 2025
Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are…
Descriptors: LGBTQ People, Transgender People, Disproportionate Representation, Educational Research
SeHee Jung; Hanwen Wang; Bingyi Su; Lu Lu; Liwei Qing; Xiaolei Fang; Xu Xu – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…
Descriptors: Undergraduate Students, Data Science, Handheld Devices, Open Source Technology
Danielle Susi-Dittmore – Research in Higher Education, 2025
This study examines the limitations and ableist assumptions embedded in quantitative survey instruments used to gather data on postsecondary students with disabilities. Specifically, three National Center for Educational Statistics postsecondary surveys were examined as data sources. Employing a critical disability studies lens and discourse…
Descriptors: Discourse Analysis, Attitudes toward Disabilities, Social Bias, Data Collection
