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Direct linkRebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
Peer reviewedKaitlyn 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
Feldman-Maggor, Yael; Barhoom, Sagiv; Blonder, Ron; Tuvi-Arad, Inbal – Education and Information Technologies, 2021
Research based on educational data mining conducted at academic institutions is often limited by the institutional policy with regard to the type of learning management system and the detail level of its activity reports. Often, researchers deal with only raw data. Such data normally contain numerous fictitious user activities that can create a…
Descriptors: Data Analysis, Educational Research, Data Processing, Learning Analytics
Ali Kürsat Erümit; Hasan Yigit Cebeci; Sefa Özmen – TechTrends: Linking Research and Practice to Improve Learning, 2024
Although big data applications in education have different usage areas, they can make important contributions to the evaluation of universities and education systems, decision-making and strategy development, and improvement of the education system. In this study, which is considered to contribute to the academicians who will work on big data in…
Descriptors: Data Use, Higher Education, Bibliometrics, Educational Research
Navé Wald; Tony Harland; Chandima Daskon – European Journal of Higher Education, 2024
This paper examines how higher education researchers approach writing the rationale and justification for their work published in journal articles. A common way for establishing this justification is through claiming a gap, but the problem is that it is often hard to find a research gap, and if it is included, there is too often no explanation for…
Descriptors: Higher Education, Educational Research, Educational Researchers, Research Problems
van Driel, Sharisse; Jarodzka, Halszka; Crasborn, Frank; van Strien, Johan; Brand-Gruwel, Saskia – International Journal of Research & Method in Education, 2023
Although various academic disciplines use data papers to support effective research practices, data papers are still uncommon in the educational sciences. Main goals of data papers are enhancing transparency regarding research processes and supporting data sharing among researchers and thus, open science. As many educational research projects…
Descriptors: Classroom Techniques, Educational Research, Data Use, Data Analysis
Karen Dan Wang – ProQuest LLC, 2023
Digital learning environments are becoming increasingly ubiquitous as a wide range of EdTech products and services enter classrooms and households across the globe. One salient attribute of these environments is their capacity to generate large amounts of data as students interact with the technology. These data logs can help construct a detailed…
Descriptors: Educational Technology, Electronic Learning, Data Collection, Problem Solving
Download full textKatherine Bui; Keith R. Berry Jr. – Journal of Research Administration, 2025
Research administrators (RA) at institutions of higher education (IHE) provide critical support to faculty throughout the lifecycle of research, which include developing research, applying to funding opportunities, managing awards through closeout, and maintaining compliance. Fulfilling these tasks requires well-developed RA processes and clear…
Descriptors: COVID-19, Pandemics, Data Collection, Data Use
Mthokozisi Masumbika Ncube; Patrick Ngulube – Discover Education, 2025
Despite the increasing interest in data analytics applications within postgraduate education research, there remains a significant gap in research dedicated to exploring mixed methods research for such investigations. This study undertook to bridge this gap by exploring the application and use of mixed methods research to examine data analytics…
Descriptors: Data Analysis, Graduate Students, Educational Research, Mixed Methods Research
Inan, Elvan; Mert Uyangor, Sevinç – Participatory Educational Research, 2022
The aim of this research is to examine the postgraduate studies conducted in the field of mathematics education with individuals diagnosed as gifted and talented students in Türkiye. For this purpose, master's and doctoral studies in the database of the National Thesis Center of the Council of Higher Education [CHE] of Türkiye were examined. The…
Descriptors: Foreign Countries, Masters Theses, Doctoral Dissertations, Mathematics Education
Liu, Min; Pan, Zilong; Li, Chenglu; Han, Songhee; Shi, Yi; Pan, Xin – International Journal on E-Learning, 2021
There has been an increasing interest in learning analytics (LA) research especially in higher education (HE) in recent years. In this study, we conducted a systematic focused review of research, from 2016 to present, on using analytics in HE (specifically system- or user-generated data) to understand in what way such analytics has been…
Descriptors: Learning Analytics, Educational Research, Higher Education, Data Collection
Wayne Barry; Christian Beighton – Sage Research Methods Cases, 2021
This research took place in a U.K. higher education institution. It was concerned with the professional learning of academic staff and examined what enables and encumbers work-based professional learning. A two-stage photovoice methodology was chosen because it presented two advantages. First, it was the best way of including participants in the…
Descriptors: Photography, Participatory Research, Educational Research, Research Methodology
Mitrovic, Antonija, Ed.; Bosch, Nigel, Ed. – International Educational Data Mining Society, 2022
For this 15th iteration of the International Conference on Educational Data Mining (EDM 2022), the conference was held in Durham, England, with an online hybrid format for virtual participation as well. EDM is organized under the auspices of the International Educational Data Mining Society. The theme of this year's conference is Inclusion,…
Descriptors: Information Retrieval, Data Analysis, Feedback (Response), Inclusion
Raffaghelli, Juliana E., Ed.; Sangrà, Albert, Ed. – Higher Education Dynamics, 2023
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…
Descriptors: Data Use, Higher Education, Educational Change, Data Analysis
Aiken, John M.; Lewandowski, H. J. – Physical Review Physics Education Research, 2021
We present a model for sharing quantitative data in the field of physics education research and use it to present a newly available dataset as an example. This model is in line with calls from across physics and science more generally to democratize data and results through open access. The model includes suggestions for data collection, creation…
Descriptors: Physics, Educational Research, Data, Shared Resources and Services
