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Shay, Marnee – Australian Journal of Indigenous Education, 2019
Yarning scholarship is emerging in the Australian context. There are a growing number of Indigenous scholars who advocate for using yarning in research and this paper aims to contribute to this methodological discussion. In this paper, I outline the development of a methodology, which I have named Collaborative Yarning Methodology (CYM). CYM…
Descriptors: Foreign Countries, Indigenous Populations, Story Telling, Indigenous Knowledge
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Zinth, Jennifer; Taylor, Jason L. – New Directions for Institutional Research, 2019
Dual enrollment is a complex policy issue and is increasingly of interest to state policymakers. Adequate data and data systems are critical to informing dual enrollment policy, yet the data at the federal level and many state data systems suffer from common challenges and lack the capacity to address dual enrollment policy. We review the…
Descriptors: Dual Enrollment, Educational Policy, State Policy, Data Collection
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Oliveira, F. S.; Calheiro, L. B.; Bozano, D. F.; Errobidart, N. C. G.; Jardim, M. I. A.; Reis, D. D.; Goncalves, A. M. B. – Physics Education, 2019
We present an Arduino approach to collect pressure and temperature data from electronic sensors. Using a constant volume-metal-vessel immersed in a water bath and changing its temperature, we measure the pressure as a function of the temperature inside the vessel. With this apparatus, it is possible to demonstrate Gay-Lussac's law. Based on…
Descriptors: Physics, Science Instruction, Data Collection, Measurement Equipment
Petersen, Amanda J. – Wilder Research, 2019
Positive Behavioral Interventions and Supports (PBIS) is an evidence-based approach to addressing behavior issues in schools. A significant amount of research has been done to identify the critical features of PBIS. More generally, implementation science points to a specific sequence to ensure that PBIS is implemented with fidelity. This spring…
Descriptors: Positive Behavior Supports, Program Implementation, Fidelity, Scores
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Nan Pang; Charles Crook – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the advent of the big data internet era, the corresponding multimedia technology is also developing. At the same time, as an important place for students to improve their cognitive level and expand their knowledge coverage, the construction of knowledge and information in university libraries will have an important impact on the growth of…
Descriptors: Foreign Countries, Research Libraries, Library Facilities, Student Development
Buckley, Jack – American Enterprise Institute, 2021
As educators confront the challenge of remediating COVID-19 learning loss--and policymakers wrestle with measuring it amid widespread discontent with testing--now is an apt time to consider how much of the current accountability and assessment regime is truly necessary. This report examines the state of testing post-March 2020 and explores how a…
Descriptors: Accountability, COVID-19, Pandemics, Testing
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Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
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Hayes, Aneta; Cheng, Jie – Teaching in Higher Education, 2020
The paper critiques key international teaching excellence and higher education outcomes frameworks for their lack of attention to epistemic equality. It subsequently argues that adequate 'datafication' of these frameworks, to demonstrate the extent to which universities offer teaching experiences which promote intellectual equivalence of all…
Descriptors: Educational Quality, Data Collection, Data Analysis, Teacher Effectiveness
Robertson, Brett – Institute for College Access & Success, 2020
One lasting legacy of the COVID-19 pandemic may be more students attending online classes at both traditional and fully online colleges. The efficacy of online education remains unproven, especially for students with academic or other challenges. And yet, both students and policymakers lack the data they need to assess whether online classes are…
Descriptors: Online Courses, Electronic Learning, Distance Education, Educational Quality
Eaton, Sarah Elaine – Online Submission, 2020
Purpose: This report highlights ways in which race-based data can be used to combat systemic racism in matters relating to academic and non-academic and student misconduct. Methods: Information synthesis of available information relating to race-based data and student conduct. Results: A summary and synthesis of how and why race-based data can be…
Descriptors: Data Collection, Minority Group Students, Racial Bias, Student Behavior
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Zilvinskis, John; Willis, James E., III – InSight: A Journal of Scholarly Teaching, 2019
The idea of learning analytics has become popularized within higher education, yet many educators are uncertain about what is entailed when implementing these technologies into practice. The following article serves as an overview to the field of learning analytics for faculty, educators for whom the expectations to use these technologies…
Descriptors: Learning Analytics, Higher Education, Definitions, Student Evaluation
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Prinsloo, Paul – British Journal of Educational Technology, 2019
Data--their collection, analysis and use--have always been part of education, used to inform policy, strategy, operations, resource allocation, and, in the past, teaching and learning. Recently, with the emergence of learning analytics, the collection, measurement, analysis and use of student data have become an increasingly important research…
Descriptors: Learning Analytics, Data Collection, Data Analysis, Measurement
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
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Krach, Shelley Kathleen; Paskiewicz, Tracy L.; Ballard, Staci C.; Howell, James E.; Botana, Suzanne M. – Journal of Psychoeducational Assessment, 2021
Timely identification of children with disabilities is required by federal special education law (Individuals with Disabilities Education Improvement Act, 20 U.S.C. § 1400, 2004). During COVID-19, school psychologists have been faced with the challenge of completing valid, comprehensive, and diagnostic assessments when traditional methods are not…
Descriptors: Diagnostic Tests, COVID-19, Pandemics, Students with Disabilities
Rosenberg, Hayden; Singh, Caroline Siegel – Center for Cities & Schools, 2021
For the last five years, the California Department of Education (CDE) has reported a steady increase in homeless K-12 students in the state. In the academic year 2018-2019, over 207,000 California K-12 students were without appropriate, consistent and stable housing. Unhoused K-12 students are disproportionately LGBTQ+, migrants, students of…
Descriptors: Homeless People, Disproportionate Representation, Minority Group Students, Housing
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