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Karacaoglu, Ömer Cem; Bayrakci, Mustafa – International Online Journal of Education and Teaching, 2020
The purpose of this qualitative study, based on the Survey Method, was to introduce a new technique to collect data on educational practices. For this purpose, a sample practice was designed to implement with a volunteer study group comprising 36 editors in a publishing company. The task details of the sample practice were determined via DACUM…
Descriptors: Data Collection, Methods, Educational Research, Educational Practices
Gorur, Radhika – International Studies in Sociology of Education, 2020
While the use of numbers in governance has a long history, the kinds of numbers we now produce enable a range of new possibilities for monitoring, regulation and policy decision-making. Global policy actors are now calling for a steep increase in investment in education data. The growing trust in numbers has been critiqued by education policy…
Descriptors: Numbers, Governance, Sociology, Data Collection
Kane, Maggie; Lin, Van-Kim – Early Childhood Data Collaborative, 2020
Home visiting is an important component of the early childhood (EC) landscape, but home visiting data are often not part of the larger early childhood data integration efforts that states undertake. Building support for home visiting data integration and coordinating efforts across sectors, systems, and programs require the involvement of a wide…
Descriptors: Stakeholders, Home Visits, Data Use, Data Collection
Kathryn Lanouette; Sarah Van Wart; Tapan S. Parikh – Journal of Science Education and Technology, 2025
Over the last two decades, there has been an increasing focus on spatial technologies in teaching and learning, revealing the potential to support new forms of youth sensemaking across varied settings and modalities. Recent scholarship has shown the possibilities of participatory digital mapping technologies, enabling young people to collect data…
Descriptors: Science Education, Grade 5, Concept Mapping, Electronic Learning
Natercia Valle; Ashley L. Shea – Sage Research Methods Cases, 2025
Increasingly used in a variety of disciplines, evidence synthesis methods such as systematic reviews and meta-analysis can help researchers and practitioners identify trends and effective interventions and uncover theoretical gaps to address specific topics and issues (e.g., the effect of the gamification approach on learning outcomes). Based on a…
Descriptors: Best Practices, Guidelines, Literature Reviews, Meta Analysis
Silva, Meghan R.; Collier-Meek, Melissa A.; Codding, Robin S.; Kleinert, Whitney L.; Feinberg, Adam – Contemporary School Psychology, 2021
Response-to-intervention (RtI) is a multi-tiered framework designed to prevent academic difficulties by facilitating robust, research-based instruction and providing targeted or individualized short-term interventions for students at-risk per periodic screening and progress monitoring data. The cornerstone of RtI is data-based decision-making to…
Descriptors: Data Collection, Data Analysis, Response to Intervention, Decision Making
Mauer, Victoria; Savell, Shannon; Davis, Alida; Wilson, Melvin N.; Shaw, Daniel S.; Lemery-Chalfant, Kathryn – Journal of Early Adolescence, 2021
This study examined caregivers' longitudinal reports of adolescent multiracial categorization across the ages of 9.5, 10.5, and 14 years, and adolescents' reports of their own multiracial categorization at the age of 14 years. A portion of caregivers' reports of adolescent multiracial status were inconsistent across the years of the study; some…
Descriptors: Adolescents, Multiracial Persons, Classification, Identification
Liu, Min; Pan, Zilong; Li, Chenglu; Han, Songhee; Shi, Yi; Pan, Xin – International Journal on E-Learning, 2021
There has been an increasing interest in learning analytics (LA) research especially in higher education (HE) in recent years. In this study, we conducted a systematic focused review of research, from 2016 to present, on using analytics in HE (specifically system- or user-generated data) to understand in what way such analytics has been…
Descriptors: Learning Analytics, Educational Research, Higher Education, Data Collection
Sahin, Muhittin; Ulucan, Aydin; Yurdugül, Halil – Education and Information Technologies, 2021
E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…
Descriptors: Electronic Learning, Data Collection, Decision Making, Evaluation Criteria
Odegard, Nina – Contemporary Issues in Early Childhood, 2021
This article draws on a new materialist paradigm to explore bricolaging data from an early childhood research project through an immanent ethical lens. This lens enables the researcher to stretch towards non-hierarchical relationships in between subjects and objects, thinking and doing. A bricoleur explores and builds different…
Descriptors: Data Collection, Early Childhood Education, Ethics, Educational Research
de Sousa, Luís; Pinto, Isabel R.; Clemente, Felippe; Gouvêa Maciel, Gustavo – Qualitative Research Journal, 2021
Purpose: This article presents focus groups as a method to enhance questionnaire design to frame and test items for a mass survey on corruption and austerity in democracy. Such methodology lacks systematization when it comes to the description of implementation procedures and the discussion of effective contribution to the development of survey…
Descriptors: Questionnaires, Test Construction, Deception, Focus Groups
Nkomo, Larian M.; Nat, Muesser – TechTrends: Linking Research and Practice to Improve Learning, 2021
With various digital technologies increasingly integrated into higher education, understanding how students engage with such technologies has become vital. There are different ways to measure student engagement; however, self-reported measures such as questionnaires are predominantly used to understand student engagement. In contrast, this study…
Descriptors: Learner Engagement, Blended Learning, Educational Environment, Data Collection
Schles, Rachel Anne; McCarthy, Tessa; Blankenship, Karen; Coy, Justin – Exceptional Children, 2021
The prevalence of students with visual impairments varies across the United States, yet limited analysis exists on how many students receive special education services. The following study collected population data on students with visual impairments for the 2017-2018 school year and ran focus groups with state-level administrators to understand…
Descriptors: Students with Disabilities, Visual Impairments, Blindness, Administrators
Kim, Albert Y.; Hardin, Johanna – Journal of Statistics and Data Science Education, 2021
We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to "play the whole game" of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data…
Descriptors: Data Collection, Data Analysis, Statistics Education, Undergraduate Students
McLeod, Bryce D.; Cook, Clayton R.; Sutherland, Kevin S.; Lyon, Aaron R.; Dopp, Alex; Broda, Michael; Beidas, Rinad S. – Grantee Submission, 2021
Numerous evidence-based programs (EBPs) exist for delivery in schools to promote youth mental health outcomes. However, school systems often lack the internal infrastructure to support the effective implementation and sustainment of EBPs when external supports are withdrawn, resulting in notable attenuation in the benefits in youth clinical…
Descriptors: Evidence Based Practice, Mental Health Programs, School Health Services, Program Implementation

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