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Ye, Dan – TechTrends: Linking Research and Practice to Improve Learning, 2022
This article introduces the evolution of themes and ideas related to the history, theory, and practice of learning analytics within the learning, design, and technology field through four eras. This review provides researchers with a fundamental understanding of the origin of learning analytics from a historical perspective and distinguishes…
Descriptors: Learning Analytics, Educational History, Theory Practice Relationship, Ethics
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Williams, Gaye – ZDM: Mathematics Education, 2022
David Clarke's research has shifted the focus of classroom research in mathematics education from study of cultural patterns to study of patterns of participation and the learning that can result in highly complex social environments. His Complementary Accounts Methodology which informed the Learner's Perspective Study design included multi-source…
Descriptors: Educational Research, Research Methodology, Mathematics Education, Data Collection
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Olsson, Ulf – Practical Assessment, Research & Evaluation, 2022
We discuss analysis of 5-grade Likert type data in the two-sample case. Analysis using two-sample "t" tests, nonparametric Wilcoxon tests, and ordinal regression methods, are compared using simulated data based on an ordinal regression paradigm. One thousand pairs of samples of size "n"=10 and "n"=30 were generated,…
Descriptors: Regression (Statistics), Likert Scales, Sampling, Nonparametric Statistics
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Schachter, Rachel E.; Piasta, Shayne B. – Reading Research Quarterly, 2022
Early childhood research and policy have promoted the use of language and literacy assessment data to inform instruction. Yet, there is a limited understanding of preschool teachers' data practices and sensemaking, particularly when considered from the perspectives of practicing teachers. In this multicase study, we used a phenomenological…
Descriptors: Preschool Teachers, Data Use, Knowledge Level, Teaching Methods
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Prøitz, Tine Sophie; Novak, Judit; Mausethagen, Sølvi – Educational Assessment, Evaluation and Accountability, 2022
The use of data for governance purposes has been widely recognised as a way for national authorities to coordinate their activities across administrative levels and improve educational quality. This places the mid-central authority--in many countries the municipal level--in the midst of modern education governing. This article reports a case study…
Descriptors: Academic Achievement, Data Use, Educational Policy, Student Evaluation
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Schuman, Carrie; Stofer, Kathryn A.; Anthony, Lisa; Neff, Hannah; Chang, Peter; Soni, Nikita; Darrow, Alice; Luc, Annie; Morales, Amanda; Alexandre, Jeremy; Kirkland, Brittani – Research in Science Education, 2022
Conceptualizing and understanding global, physical systems like Earth's ocean is challenging. Data visualizations on touch-based technology allow learners to explore systems and facilitate embodied experiences, promoting deeper understanding. We investigated how direct manipulation of data visualizations on a touchscreen table affords meaningful…
Descriptors: Oceanography, Data Analysis, Visual Aids, Technology Uses in Education
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Zakharova, Irina; Jarke, Juliane – Learning, Media and Technology, 2022
Schools, teaching, and learning environments have long been understood and idealised as places of care. Within feminist studies and Science and Technology Studies (STS), scholars have proposed a shift to include non-humans in what we propose to conceive as care arrangements. Drawing on Tronto's feminist ethics of care [1993. "Moral…
Descriptors: Educational Technology, Caring, Foreign Countries, Information Systems
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Penaloza, Roberto V.; Berends, Mark – Sociological Methods & Research, 2022
To measure "treatment" effects, social science researchers typically rely on nonexperimental data. In education, school and teacher effects on students are often measured through value-added models (VAMs) that are not fully understood. We propose a framework that relates to the education production function in its most flexible form and…
Descriptors: Data, Value Added Models, Error of Measurement, Correlation
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Hilliger, Isabel; Aguirre, Camila; Miranda, Constanza; Celis, Sergio; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2022
Curriculum Analytics (CA) emerged as a sub-field of Learning Analytics, aiming to use large amounts of educational data to drive curriculum decision-making and program improvement. However, it is still an open question how the use of CA tools impacts student learning and program quality. To advance this field, this paper describes the lessons…
Descriptors: Curriculum Design, Data Analysis, Educational Improvement, Foreign Countries
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Švábenský, Valdemar; Vykopal, Jan; Celeda, Pavel; Kraus, Lydia – Education and Information Technologies, 2022
Cybersecurity professionals need hands-on training to prepare for managing the current advanced cyber threats. To practice cybersecurity skills, training participants use numerous software tools in computer-supported interactive learning environments to perform offensive or defensive actions. The interaction involves typing commands, communicating…
Descriptors: Data Use, Learning Analytics, Information Security, Training
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Pérez-Llantada, Carmen – Written Communication, 2022
The data article is a digital genre that has emerged in response to new exigencies, namely, to make data more transparent and research processes more trustable and reproducible. Following White's framework of intersubjective stance, this article draws upon statistical tools and collocational and discourse analyses to examine the linguistic…
Descriptors: Rhetoric, Pragmatics, Computer Mediated Communication, Linguistics
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Wright, Susan L.; Chitavi, Michael – Research in Higher Education Journal, 2022
This paper describes a process for evaluating student learning at the course-level. Course-level data is used to inform continuous improvement of program-level assessment. The sample consists of direct and indirect measures related to 101 students enrolled in a principles of financial accounting course. Direct measures indicate that most students…
Descriptors: Student Evaluation, Outcomes of Education, Data Collection, Academic Achievement
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Cullinan, John; Flannery, Darragh; Palcic, Donal – Education Economics, 2022
There is increasing attention on study abroad programmes in higher education. However, there is little evidence on how participation might impact students' academic performance on return. Using administrative data from Ireland and a range of regression models and matching estimators, we find no independent association between study abroad and…
Descriptors: Study Abroad, Student Participation, Academic Achievement, Data Analysis
Filderman, Marissa J.; Toste, Jessica R.; Didion, Lisa; Peng, Peng – Remedial and Special Education, 2022
This meta-analysis explores training teachers in the use of data, defined as any quantifiable information that helps teachers know more about their students for instructional decision-making. The questions addressed are as follows: (1) What are the features of data literacy training for kindergarten through 12th-grade teachers?; (2) What are the…
Descriptors: Elementary Secondary Education, Teachers, Data, Technological Literacy
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Benz, Gregor; Buhlinger, Carsten; Ludwig, Tobias – Physics Education, 2022
With the availability of educational digital data acquisition systems, it has also become possible in physics education to generate 'big' data sets by (a) measuring multiple variables simultaneously, (b) increasing the sample rate, (c) extending the measurement duration, or (d) choosing a combination among these three options. In the context of…
Descriptors: Physics, Science Instruction, Learning Analytics, Data Analysis
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