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Michael E. Young; Megan Miller; Christopher Urban; Claudia Petrescu – Discover Education, 2024
Higher education is awash with data that, when refined, facilitates data-informed decisions. Such decision-making is much more prevalent in support of undergraduate education given the much larger number of undergraduates pursuing higher education in contrast to the much smaller proportion of graduate students. A simple extension of current…
Descriptors: Graduate Study, Masters Programs, Decision Making, Benchmarking
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Shaun Bhatia; Leonard A. Jason – Journal of Disability Policy Studies, 2024
There have been numerous iterations of naming convention specified for myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS). As health care turns to "big data" analytics to gain insights, the Google Trends database was mined to ascertain worldwide trends of public interest in several ME- and CFS-related search categories…
Descriptors: Data Analysis, Chronic Illness, Search Strategies, Information Retrieval
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Leyla Marandi; Eleanor Haworth; Vikram Koundinya; Katherine Webb-Martinez; Kit Alviz – Journal of Extension, 2024
During the COVID-19 pandemic, organizations increased virtual programming and adoption of online technologies. This article outlines the University of California assessment of tools for gathering data on participant learning outcomes from virtual educational programs. After assessing colleagues' experiences and searching for new web applications,…
Descriptors: Educational Technology, Online Courses, Data Collection, Information Storage
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John J. Siegfried – Journal of Economic Education, 2024
Undergraduate economics degrees awarded by U.S. colleges and universities increased almost 12 percent from 2013 through 2015, then stabilized at a little above the 2015 level until 2018, after which they began an accelerating decline over the past five years to end back at a little below 2015 levels.
Descriptors: Undergraduate Study, Bachelors Degrees, Economics Education, Statistical Data
Tsai, Tiffany; Tosh, Katie – RAND Corporation, 2020
Teachers' use of student data to inform instruction is commonly accepted as sound educational practice, and this data use is only likely to grow as more data, as well as more-complex data, become increasingly available to educators. However, numerous studies reveal inconsistent data use among teachers and an overall lack of the preparation and…
Descriptors: Data Analysis, Data Use, Database Management Systems, Personnel Data
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Wendy Pothier; Patricia Condon – portal: Libraries and the Academy, 2025
Recent discourse and research in academic and business settings emphasize the growing importance of improving data and information literacy in both settings. This exploratory study examines the relevance of a set of proposed baseline business data literacy competencies for the workplace, developed by librarians for undergraduates. The authors…
Descriptors: Information Literacy, Data, Skill Development, Business Skills
Office for Civil Rights, US Department of Education, 2025
The U.S. Department of Education's (ED) Office for Civil Rights (OCR) administers the Civil Rights Data Collection (CRDC), which is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. To support school districts' timely submission of accurate data, OCR takes steps…
Descriptors: Civil Rights, Data Collection, School Surveys, Public Schools
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Lizet Van Ewijk; Katerina Hilari; Analisa Pais; Anna Volkmer – International Journal of Language & Communication Disorders, 2025
Background: Content validity is a key measurement property that should be considered when selecting or reviewing a patient-reported outcome measure (PROM). In the field of communication disorders, there are several PROMs available, most of which are disease specific. It is unknown what the quality of the content validity of these PROMs is. Aims:…
Descriptors: Communication Disorders, Patients, Outcome Measures, Adults
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Stephanie Wermelinger; Marco Bleiker; Moritz M. Daum – Infant and Child Development, 2025
Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…
Descriptors: Infants, Young Children, Research Problems, Factor Analysis
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Iqbal AlShammari; Munirah AlAjmi – Asia-Pacific Education Researcher, 2025
Data- driven decision making DDDM in school settings is often guided and influenced by various sources of data that assist in improving students' outcomes. School principals as the main educational leaders, play a pivotal role in DDDM using the available school data. Semi-structured interviews with 24 school principals were conducted to…
Descriptors: Data Use, Decision Making, Principals, Administrator Role
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Axel Langner; Lea Sophie Hain; Nicole Graulich – Journal of Chemical Education, 2025
Often, eye-tracking researchers define areas of interest (AOIs) to analyze eye-tracking data. Although AOIs can be defined with systematic methods, researchers in organic chemistry education eye-tracking research often define them manually, as the semantic composition of the stimulus must be considered. Still, defining appropriate AOIs during data…
Descriptors: Organic Chemistry, Science Education, Eye Movements, Educational Research
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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Katie Young; Kath Browne – International Journal of Social Research Methodology, 2025
This article considers the multiple relations that emerge from and between Facebook commenters, as well as between commenters, researchers, and the research project during recruitment. To do so, we draw on our experiences of recruiting individuals who have concerns about or are opposed to a range of recent social and legal changes in…
Descriptors: Social Media, Research Methodology, Data Collection, Recruitment
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Danielle R. Scharen; Erin McInerney; Lindsey H. Sachs; Meredith L. Hayes; P. Sean Smith – Mathematics Teacher: Learning and Teaching PK-12, 2025
School-based citizen science (SBCS) provides opportunities for teachers to purposefully integrate mathematics and science content and practices throughout the year. With SBCS projects, students have countless opportunities to apply their mathematics skills within the context of science data collection and sense making. This article details how a…
Descriptors: Citizenship, Science Education, Mathematics Skills, Grade 5
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Nina Brandau; Sigrid Hartong – Discourse: Studies in the Cultural Politics of Education, 2025
Critical research on data visualisations in education has so far mostly focused on the representation of numeric data in dashboards or graphs. Consequently, the question of how schools are made visible and (re)enacted through visual structures on data-mediated interfaces more broadly -- what we call Graphic Data Visualisations (GDV) -- has…
Descriptors: Visual Aids, Learning Management Systems, Design, Educational Practices
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