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Cusker, Jeremy – Issues in Science and Technology Librarianship, 2018
In 2012, this author published a paper describing a method for using the raw data from Web of Science to examine the journals cited by any given group of researchers and then compare that list to lists of 'top journals' of similar disciplines. It was not a straightforward method to use and required a great deal of effort and spreadsheet work by a…
Descriptors: Citation Analysis, Citations (References), Bibliometrics, Evaluation Methods
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Ward, Jason K.; Comer, Unoma; Stone, Suki – Interchange: A Quarterly Review of Education, 2018
This article presents the use of the qualitative research method and the challenges that this form of research imposes along with the increasingly systematic reluctance experienced by doctoral students and their chairs. Increasingly, doctoral students are opting for the qualitative approach over that of the traditional quantitative methodology.…
Descriptors: Qualitative Research, Graduate Students, Student Research, Data Collection
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Bharara, Sanyam; Sabitha, Sai; Bansal, Abhay – Education and Information Technologies, 2018
Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to improve learning and education. It draws from, and is closely tied to, a series of other fields of study like business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The main objective of this research…
Descriptors: Data Collection, Data Analysis, Correlation, Academic Achievement
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Klumpp, Matthias – Education Sciences, 2018
An increasing effort has been put into dealing with the question of time-series analysis regarding institutional efficiency, including in the area of higher education. Universities are important institutions for economies and societies and are expected to provide excellence as well as efficiency in their processes and outputs. This is reflected in…
Descriptors: Efficiency, Universities, Data Analysis, Achievement Rating
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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
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Franz, Nancy K. – Journal of Extension, 2018
Increased focus on data-driven decision making requires Extension professionals to excel at data analysis and interpretation. Data parties have become increasingly popular for involving stakeholders in making sense of data. As these parties become more frequently used by Extension professionals, best practices are emerging from lessons learned to…
Descriptors: Extension Education, Extension Agents, Decision Making, Data
Gregg, Andrea; Wilson, Brent G.; Parrish, Patrick – IDEA Center, Inc., 2018
The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning…
Descriptors: Data Analysis, Higher Education, Vendors, Academic Achievement
Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
Jeremy Roschelle; Adam Schellinger – Digital Promise, 2024
SEERNet digital learning platforms (DLPs) are developing new infrastructure to support research in authentic contexts where student learning is happening. In order to contextualize this work within the larger field, we trace historical precedents along four main categories: data repositories, data collection services, research design interfaces,…
Descriptors: Electronic Learning, Data Collection, Research Design, Communities of Practice
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Emma R. Dear; Bryce D. McLeod; Nicole M. Peterson; Kevin S. Sutherland; Michael D. Broda; Alex R. Dopp; Aaron R. Lyon – Grantee Submission, 2024
Introduction: Due to usability, feasibility, and acceptability concerns, observational treatment fidelity measures are often challenging to deploy in schools. Teacher self-report fidelity measures with specific design features might address some of these barriers. This case study outlines a community-engaged, iterative process to adapt the…
Descriptors: Measures (Individuals), Data Collection, Observation, Learning Analytics
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Chaehyun Lee – Journal of Research in Childhood Education, 2024
Using the transactional theory (Rosenblatt, 1995, 2001) and translanguaging pedagogy (García, 2009) as guiding lenses, this study explores how 1st-grade Korean-English bilingual students engage in storytelling and meaning construction using two languages when they encounter one of the chosen wordless picturebooks. The findings indicate that…
Descriptors: Elementary School Students, Grade 1, Bilingual Students, Korean
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Vicente Reyes; Louise Phillips; M. Obaidul Hamid; Ian Hardy – Learning, Media and Technology, 2024
We draw upon Appadurai's 'scapes' and Latour's Actor Network Theory (ANT) to interrogate historical and spatial flows in relation to specific testing technologies. We reveal how testing systems, conceptualised as actor-networks, rearticulate colonial legacies of inequality which are intensified by new and emerging technologies. ANT helps trace…
Descriptors: Foreign Countries, Educational Technology, Educational Testing, Databases
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Karen Thorpe; Narayan Panthi; Sandra Houen; Marcus Horwood; Sally Staton – Australian Educational Researcher, 2024
In response to a workforce crisis, Australia's early childhood education and care workforce strategy for the next decade, "Shaping our Future," was released in September 2021. This strategy was developed through a three-stage, 'top-down' process in which open consultation on pre-defined strategies was the final stage. Analysing data from…
Descriptors: Early Childhood Teachers, Labor Economics, Foreign Countries, Data Analysis
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Golnaz Arastoopour Irgens; Danielle Herro; Ashton Fisher; Ibrahim Adisa; Oluwadara Abimbade – Journal of Experimental Education, 2024
The importance of data literacies and the shortage of research surrounding data science in elementary schools motivated this research-practice partnership (RPP) between researchers and teachers from a STEM elementary school. We used a narrative case study methodology to describe the instructional practices of one music teacher who co-designed a…
Descriptors: Elementary School Teachers, Grade 5, Music Teachers, Music Education
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Tony Albano; Brian F. French; Thao Thu Vo – Applied Measurement in Education, 2024
Recent research has demonstrated an intersectional approach to the study of differential item functioning (DIF). This approach expands DIF to account for the interactions between what have traditionally been treated as separate grouping variables. In this paper, we compare traditional and intersectional DIF analyses using data from a state testing…
Descriptors: Test Items, Item Analysis, Data Use, Standardized Tests
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