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Angelone, Lauren – Mid-Western Educational Researcher, 2019
The purpose of this paper is methodological. It serves as a defense of virtual ethnography as a method, not only well suited to postpositivist research, but as a tool to further interrogate the tenuous truth that all research produces. To accomplish this, virtual ethnography is situated within the history of qualitative inquiry and then examined…
Descriptors: Virtual Classrooms, Ethnography, Teaching Methods, Internet
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Tajmel, Tanja – Cultural Studies of Science Education, 2019
With the present forum contribution, I respond to the paper "Discerning contextual complexities in STEM career pathways--Insights from successful Latinas" by Alejandro Gallard Martínez, Wesley Pitts, Silvia Lizette Ramos de Robles, Katie L. Milton Brkich, Belinda Flores Bustos, and Lorena Claeys. I aim to augment the thoughts of Gallard…
Descriptors: STEM Education, Science Careers, Educational Research, Figurative Language
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Shum, Simon J. Buckingham – Journal of Learning Analytics, 2019
This editorial introduces a special section of the "Journal of Learning Analytics," for which Neil Selwyn's keynote address to LAK '18 has been written up as an article, "What's the problem with learning analytics?" His claims and arguments are engaged in commentaries from Alfred Essa, Rebecca Ferguson, Paul Prinsloo, and…
Descriptors: Data Analysis, Speeches, Conferences (Gatherings), Problems
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Lampiselkä, Jarkko; Kaasinen, Arja; Kinnunen, Päivi; Malmi, Lauri – Education Sciences, 2019
This study provides an overview of the didactic focus areas in educational research in biology, chemistry and physics, seeking to identify the focus areas that are investigated frequently and those that have been studied rarely or not at all. We applied the didactic focus-based categorization analysis method (DFCM), which is based on an extension…
Descriptors: Science Education, Educational Research, Biology, Chemistry
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Wind, Stefanie A.; Jones, Eli – Journal of Educational Measurement, 2019
Researchers have explored a variety of topics related to identifying and distinguishing among specific types of rater effects, as well as the implications of different types of incomplete data collection designs for rater-mediated assessments. In this study, we used simulated data to examine the sensitivity of latent trait model indicators of…
Descriptors: Rating Scales, Models, Evaluators, Data Collection
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Gorard, Stephen – International Journal of Social Research Methodology, 2019
This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each…
Descriptors: Intervals, Statistics, Social Sciences, Foreign Countries
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Young, Jay R.; Davies, Randall S.; Jenkins, Jeffrey L.; Pfleger, Isaac – Computers in the Schools, 2019
This study examined the potential use of keystroke dynamics to create keyprints (typing fingerprints) to authenticate individuals in online courses. Previous studies have determined that keystroke typing patterns are unique; in addition to replicating these findings, this study explored best practices for implementing keyprint signatures in…
Descriptors: Identification, Keyboarding (Data Entry), Users (Information), Online Courses
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Phillips, Tina B.; Ballard, Heidi L.; Lewenstein, Bruce V.; Bonney, Rick – Science Education, 2019
To date, most studies of citizen science engagement focus on quantifiable measures related to the contribution of data or other output measures. Few studies have attempted to qualitatively characterize citizen science engagement across multiple projects and from the perspective of the participants. Building on pertinent literature and…
Descriptors: Citizen Participation, Scientific Research, Data Collection, Science Projects
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Torre, Jimmy de la; Akbay, Lokman – Eurasian Journal of Educational Research, 2019
Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…
Descriptors: Cognitive Measurement, Models, Computer Software, Testing
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Keehn, Suzanne; Claggett, Stuart – Journal of Applied Testing Technology, 2019
The educational game industry struggles from a lack of standardization around collecting, analyzing and managing student learning data, which is potentially jeopardizing millions of dollars of investment in educational games. Investors, administrators, and educators require data to support quantitative and qualitative learning measurement in…
Descriptors: Educational Games, Game Based Learning, Data Collection, Elementary Secondary Education
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Feuerstahler, Leah; Wilson, Mark – Journal of Educational Measurement, 2019
Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated…
Descriptors: Item Response Theory, Models, Scores, Comparative Analysis
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Harper, Frances K. – Journal for Research in Mathematics Education, 2019
Mathematics classrooms are increasingly becoming sites for investigating social (in)justice, but research on teaching mathematics for social justice remains limited to individual case studies. This article reports on a metasynthesis of 35 qualitative reports of social justice mathematics enactments in diverse classroom contexts. Critical race…
Descriptors: Teaching Methods, Mathematics Instruction, Social Justice, Critical Theory
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Ross, Karen; Call-Cummings, Meagan – International Journal of Social Research Methodology, 2019
In this article, we interrogate the concept of methodological 'failures' as they arise during fieldwork, in the process of collecting empirical data. We highlight how the techniques of validity horizon matrices and power analysis can be used as methodological tools to illustrate moments in the fieldwork process where these 'failures' occur and to…
Descriptors: Failure, Data Collection, Research Methodology, Validity
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Rivera, Jason D. – Journal of Public Affairs Education, 2019
Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…
Descriptors: Public Affairs Education, Public Administration, Social Science Research, Graduate Students
Buckner-Capone, Anji – ProQuest LLC, 2019
Academic outcomes and health outcomes are interconnected and reciprocal and school climate has emerged as a way to capture some of this relationship. An increasing trend in education policy is using multiple measures of school success, including school climate, such as California's Local Control Funding Formula (LCFF). As school climate evolves as…
Descriptors: Superintendents, Administrator Attitudes, Evaluation Methods, Educational Environment
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