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Pangrazio, Luci; Selwyn, Neil; Cumbo, Bronwyn – Learning, Media and Technology, 2023
This paper explores the significance of schools' data infrastructures as a site of institutional power and (re)configuration. Using 'infrastructure studies' as a theoretical framework and drawing on in-depth studies of three contrasting Australian secondary schools, the paper takes a holistic look at schools' data infrastructures. In contrast to…
Descriptors: Data Use, Data Analysis, Data Collection, Information Management
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Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
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Dogan, Esra; Bay, Erdal; Dös, Bülent – International Education Studies, 2023
This study analyzed studies done in Turkey in the context of curriculum evaluation (CE) by asking, "How is it made? The study was carried out in two stages. In the first stage, the document analysis method used 215 theses written between 1991 and 2020 on CE were analyzed according to the "thesis review form." In the second stage,…
Descriptors: Curriculum Evaluation, Evaluation Methods, Foreign Countries, Theses
Office for Civil Rights, US Department of Education, 2023
The Civil Rights Data Collection (CRDC) is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. Since the 2009-10 CRDC, schools and school districts have reported the number of students who were referred to law enforcement and arrested at the nation's public schools.…
Descriptors: Referral, Law Enforcement, Crime, Public Schools
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Araitz Uskola; Nahia Seijas – Research in Science & Technological Education, 2023
Background: Science education should encompass enculturation in science which implies performing scientific practices such as use of data and modelling, in authentic contexts like the field. Purpose: This work aims to determine how preservice elementary teachers (PETs) use data obtained in the field, and how these data contribute to the process of…
Descriptors: Geology, Preservice Teachers, Elementary School Teachers, Science Education
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Adam Sales; Sooyong Lee; Tiffany Whittaker; Hyeon-Ah Kang – Society for Research on Educational Effectiveness, 2023
Background: The data revolution in education has led to more data collection, more randomized controlled trials (RCTs), and more data collection within RCTs. Often following IES recommendations, researchers studying program effectiveness gather data on how the intervention was implemented. Educational implementation data can be complex, including…
Descriptors: Program Implementation, Data Collection, Randomized Controlled Trials, Program Effectiveness
Robbie Barber – Knowledge Quest, 2023
Soft or self-censorship is when librarians' modify their book choices, not based on a selection policy, but on the climate. To avoid getting in trouble, they choose books that will not be controversial. The result may be that their self-censorship is a greater threat to school libraries than the actual book challenges. In this article, Robbie…
Descriptors: Censorship, Books, School Libraries, Reading Material Selection
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Chelsea M. Parlett-Pelleriti; Elizabeth Stevens; Dennis Dixon; Erik J. Linstead – Review Journal of Autism and Developmental Disorders, 2023
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Classification, Supervision
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Guy Bendermacher; Mirjam oude Egbrink; Diana Dolmans – Interdisciplinary Journal of Problem-based Learning, 2023
Problem-based learning (PBL) can take many different shapes but has as a common denominator that it builds on the principles of collaborative, constructive, contextual, and self-directed learning. Systematic review approaches that aim to provide insight in what features make PBL work generally fall short, as they tend to disregard the influential…
Descriptors: Problem Based Learning, Research Methodology, Realism, Program Effectiveness
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Irina Bauer; Tanja Kunz; Tobias Gummer – International Journal of Social Research Methodology, 2025
In web surveys, no interviewer is present to clarify question comprehension problems, which can be particularly prevalent among respondents with low literacy skills. Although plain language is used in various contexts to improve text comprehensibility, its use in social science questionnaires has not been investigated to date. Using a…
Descriptors: Foreign Countries, Online Surveys, Data Collection, Questionnaires
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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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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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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2022
The authors discuss the use of surveys for collecting data from a population sample and emphasise the importance of being careful with the language of data collection. [For "The Data Files 5: Graphs for Exploring Relationships," see EJ1355504.]
Descriptors: Surveys, Data Collection, Statistics Education, Foreign Countries
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Pearl, Dennis K.; Lesser, Lawrence M. – Teaching Statistics: An International Journal for Teachers, 2021
Jokes, cartoons, songs, videos, and quotes can be useful ways to engage students in discussion and learning key concepts about polling.
Descriptors: Surveys, Data Collection, Statistics Education, Teaching Methods
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Dunham, Kate; Negoita, Marian – New Directions for Community Colleges, 2021
In this chapter, we draw on the data collected during our evaluations of six TAACCCT grants to describe the challenges, successes, and transformative effect of adopting a developmental evaluation approach for community college programs.
Descriptors: Data Collection, Program Evaluation, Grants, Community Colleges
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