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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
Sefton-Green, Julian; Pangrazio, Luci – Educational Philosophy and Theory, 2022
Amidst ongoing technological and social change, this article explores the implications for critical education that result from a data-driven model of digital governance. The article argues that traditional notions of critique which rely upon the deconstruction and analysis of texts are increasingly redundant in the age of datafication, where the…
Descriptors: Data Analysis, Governance, Educational Philosophy, Barriers
Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2023
We examine four important considerations in the development of covariate adjustment methodologies for indirect treatment comparisons. First, we consider potential advantages of weighting versus outcome modeling, placing focus on bias-robustness. Second, we outline why model-based extrapolation may be required and useful, in the specific context of…
Descriptors: Medical Research, Outcomes of Treatment, Comparative Analysis, Barriers
Preel-Dumas, Camille; Hendra, Richard; Denison, Dakota – MDRC, 2023
This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…
Descriptors: Labor Force Development, Programs, Prediction, Success
Syed, Hassan; Syed, Ghazal Kazim – Research in Education, 2021
This paper reports on the challenges faced by two researchers during data collection and translation of data and analysis in two public sector universities in Pakistan. Data collection from each institute involved different procedures and a different set of issues, including negotiating access with gatekeepers and participants, dealing with…
Descriptors: Novices, Researchers, Qualitative Research, Research Administration
Small, Mario L.; Cook, Jenna M. – Sociological Methods & Research, 2023
This article examines an important and thorny problem in interview research: How to assess whether what people say motivated their actions actually did so? We ask three questions: What specific challenges are at play? How have researchers addressed them? And how should those strategies be evaluated? We argue that such research faces at least five…
Descriptors: Interviews, Qualitative Research, Barriers, Deception
Giorgio Di Pietro – European Education, 2023
We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…
Descriptors: Student Characteristics, Barriers, Student Mobility, Foreign Countries
Natacha Klein Käfer; Emma Klakk; Mette Birkedal Bruun – Issues in Interdisciplinary Studies, 2024
This article addresses the ethical and epistemological challenges of interdisciplinary efforts through the interactional lens of proximity. How can we ensure interdisciplinarity in unequal institutional, disciplinary, and geopolitical environments? What does it mean to do research when epistemological frameworks clash between fields and sectors?…
Descriptors: Interdisciplinary Approach, Ethics, Epistemology, Proximity
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
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…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Hoang, Viet-Ngu; Watson, Justin – Decision Sciences Journal of Innovative Education, 2022
There is an increasing demand to introduce Introductory Business Analytics (IBA) courses into undergraduate business education. Many real-world business contexts require predictive analytics to understand the determinants of a dichotomous outcome; hence, IBA courses should include binary logistic regression analysis. This article provides our…
Descriptors: Business Administration Education, Undergraduate Study, Data Analysis, Regression (Statistics)
Charles Melvin Ess; Ylva Hård af Segerstad – New Perspectives on Learning and Instruction, 2019
We briefly review the emergence of internet research ethics (IRE) since 2000 across three stages, showing how the last, IRE 3.0, focuses on ethical challenges and issues evoked by Big Data. We explore specific examples of IRE 3.0 as occasioned by requirements for informed consent -- including Big Data analyses of a closed Facebook group -- as…
Descriptors: Ethics, Barriers, Internet, Research Methodology
Association of Public and Land-grant Universities, 2022
The Association of Public & Land-grant Universities (APLU) launched the "Powered by Publics: Scaling Student Success" initiative in the fall of 2018. The South Eastern Cluster brought together a diverse set of institutions from this region of the country that included several of the larger universities, the North Carolina System…
Descriptors: College Transfer Students, Best Practices, Success, College Credits
Rathore, Devika – Waikato Journal of Education, 2022
An increasingly multicultural Aotearoa early childhood education (ECE) landscape forms the context for my doctoral study in progress. My research explores the culturally embedded and negotiated environmental identities of a growing number of migrant Indian teachers. This article documents my experiences of confronting and navigating the unexpected…
Descriptors: Foreign Countries, Data Collection, Research Problems, Doctoral Students
Doan, Kurt B. – New Directions for Institutional Research, 2021
In this chapter, the author examines the extent to which community colleges invite students to share their sexual orientation and gender identity (SOGI) data, and the barriers to collecting such data. The author also underscores the important role that higher education professionals, particularly those in institutional research, can play in…
Descriptors: Community Colleges, Data Collection, LGBTQ People, Two Year College Students

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