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Gillian Parekh; Robert S. Brown; David Walters; Ryan Collis; Naleni Jacob – Canadian Journal of Higher Education, 2025
In Canada, access to post-secondary education (PSE), which includes university, college, or apprenticeship programs, is becoming ever more important in terms of securing future employment, long-term health, and economic security. Kirby (2009) points to Canada's universal level of PSE access; however, also notes how access for students with…
Descriptors: Foreign Countries, Barriers, Costs, Postsecondary Education
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Conrad Borchers; Clémence Darriet; Joshua M. Rosenberg; Francesca López – TechTrends: Linking Research and Practice to Improve Learning, 2025
Public Internet Data Mining methods enable studying educational institutions' public-facing communication. Multiple online data sources can illuminate differences in how different audiences are addressed online, opening the door for critical inquiry into emerging issues of representation and targeted advertising. The present study presents a case…
Descriptors: School Districts, Advertising, Social Media, Web Sites
UK Department for Education, 2025
The Working lives of teachers and leaders (WLTL) is a longitudinal study intended to run for at least five years, up to 2026. It is intended to provide a representative picture of the experiences of teachers and leaders in state schools in England. The third wave was carried out in Spring 2024. The first wave was carried out in Spring 2022. The…
Descriptors: Foreign Countries, Longitudinal Studies, Teacher Supply and Demand, Teacher Recruitment
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Berchtold, André – International Journal of Social Research Methodology, 2019
Most quantitative studies in the social sciences suffer from missing data. However, despite the large availability of documents and software to treat such data, it appears that many social scientists do not apply good practices regarding missing data. We analyzed quantitative papers published in 2017 in six top-level social science journals.…
Descriptors: Research Problems, Research Methodology, Social Science Research, Data Analysis
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Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes
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du Boulay, Benedict – British Journal of Educational Technology, 2019
Intelligent Tutoring systems (ITSs) and Intelligent Learning Environments (ILEs) have been developed and evaluated over the last 40 years. Recent meta-analyses show that they perform well enough to act as effective classroom assistants under the guidance of a human teacher. Despite this success, they have been criticised as embodying a retrograde…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Meta Analysis, Artificial Intelligence
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Essa, Alfred – Journal of Learning Analytics, 2019
In "Funes the Memorius," Jorge Luis Borges tells the tale of an Argentinian man who falls off a horse, becomes paralyzed, and acquires the strange gift of infinite memory (Borges, 1993). Funes remembers everything, which is to say he forgets nothing. The author will use Borges's story as the backdrop for his response to Professor…
Descriptors: Literature, Memory, College Faculty, Criticism
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Benninghaus, Jens Christian; Mühling, Andreas; Kremer, Kerstin; Sprenger, Sandra – Education Sciences, 2019
Influence diagrams, derived from the mystery method as its learning output, represent an externalization of systems thinking and are, therefore, valid to research; so far they have not been conceptualized in the research literature for teaching systems thinking in education for sustainable development. In this study, 31 of those diagrams are…
Descriptors: Evaluation Methods, Systems Approach, Sustainable Development, Visual Aids
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Joo, Seang-Hwane; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2019
Multilevel modeling has been utilized for combining single-case experimental design (SCED) data assuming simple level-1 error structures. The purpose of this study is to compare various multilevel analysis approaches for handling potential complexity in the level-1 error structure within SCED data, including approaches assuming simple and complex…
Descriptors: Hierarchical Linear Modeling, Synthesis, Data Analysis, Accuracy
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Varvantakis, Christos; Nolas, Sevasti-Melissa – International Journal of Social Research Methodology, 2019
In this paper, we argue for a view of analysis as an embodied practice and review others' testimonies of carrying out multimodal ethnography. This review suggests that metaphors are key for communicating what happens to "us" in the course of the research and our subsequent sense-making practices. We identify four metaphors for…
Descriptors: Ethnography, Figurative Language, Data Collection, Data Analysis
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Rojon, Céline; McDowall, Almuth; Saunders, Mark N. K. – Field Methods, 2019
This article examines and appraises a novel approach for generating shared group constructs through aggregative analysis: the application of Honey's aggregation procedure to repertory grid technique (RGT) data. Revisiting personal construct theory's underlying premises and adopting a social constructivist epistemology, we argue that, while…
Descriptors: Administrators, Professional Personnel, Job Performance, Structured Interviews
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Cascio, M. Ariel; Lee, Eunlye; Vaudrin, Nicole; Freedman, Darcy A. – Field Methods, 2019
In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many…
Descriptors: Coding, Teamwork, Interrater Reliability, Data Analysis
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Liu, Ran; Stamper, John; Davenport, Jodi; Crossley, Scott; McNamara, Danielle; Nzinga, Kalonji; Sherin, Bruce – Journal of Computer Assisted Learning, 2019
Increasingly, student work is being conducted on computers and online, producing vast amounts of learning-related data. The educational analytics fields have produced many insights about learning based solely on tutoring systems' automatically logged data, or "log data." But log data leave out important contextual information about the…
Descriptors: Data Analysis, Learning Experience, Context Effect, Recordkeeping
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
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Boumi, Shahab; Vela, Adan – International Educational Data Mining Society, 2019
Simplified categorizations have often led to college students being labeled as full-time or part-time students. However, at many universities student enrollment patterns can be much more complicated, as it is not uncommon for students to alternate between full-time and part-time enrollment each semester based on finances, scheduling, or family…
Descriptors: Markov Processes, Enrollment, College Students, Full Time Students
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