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Aydogan Yenmez, Arzu – International Online Journal of Education and Teaching, 2022
Quantitative reasoning is defined as reasoning about relationships between items, measurements of objects, and quantities rather than numbers. Both in the transition from arithmetic to algebra and in the problem-solving process, quantitative reasoning is seen as a critical instrument for the development of students' mathematical skills. In the…
Descriptors: Problem Solving, Thinking Skills, Correlation, Arithmetic
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Robert, Catherine; Okilwa, Nathern S. A. – Global Education Review, 2022
Research demonstrates harmful effects of disparate discipline practices on outcomes for students of color. The Office of Civil Rights (OCR), under the Obama administration, significantly increased investigations under the mandate of Title VI. In this study, we examine OCR's investigation of Oakland Unified School District (OUSD) to establish the…
Descriptors: Discipline Policy, School Districts, Minority Group Students, African American Students
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Zhang, Hai; Yu, Luyao; Cui, Yulu; Ji, Mengxue; Wang, Yining – Interactive Learning Environments, 2022
The study of teacher development and teaching interaction in physical classrooms has presented research problems, but with the development of classroom observation and video analysis, quantitative and visual analysis of the teaching process has been realized. In order to better understand the teaching models of teachers, this study is devoted to…
Descriptors: Classroom Observation Techniques, Teacher Evaluation, Teaching Methods, Teaching Models
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Imamoglu, Mehmet; Erbas, Cagdas; Dikmen, Cemal Hakan – Online Submission, 2022
The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education"…
Descriptors: Trend Analysis, Educational Trends, Simulated Environment, Physical Education
Office of Planning, Research and Evaluation, 2022
The 2019 National Survey of Early Care and Education (NSECE) is funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families. The project team is led by NORC at the University of Chicago. The 2019 NSECE is comprised of four integrated, nationally representative surveys which include: (1)…
Descriptors: Early Childhood Education, National Surveys, Parent Surveys, Supply and Demand
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The Individuals with Disabilities Education Act (IDEA) funds programs providing services designed to assist children with a range of delays and disabilities in achieving individualized developmental and functional goals. There are two types of programs. Part C Early Intervention is for children ages birth-2, and Part B Preschool is for children…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
Kamini Jaipal-Jamani; Hope Mayne; Sheliza Ibrahim – Sage Research Methods Cases, 2022
Implementing collaborative action research (CAR) is recognized as an effective strategy for transforming professional practice through evidence-based methods. How can CAR be carried out online, and how is data collected through digital methods? This case study will address these aspects in the context of a CAR, international professional…
Descriptors: Action Research, Cooperative Learning, Higher Education, Teacher Educators
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Jane Watson; Noleine Fitzallen – Australian Primary Mathematics Classroom, 2024
Statistics need data and data need context. Contexts from across the curriculum can be the most powerful in creating interest, reward, and enthusiasm for both teachers and students. The activity described here is based in STEM, employing aspects of each field to create and solve a hypothetical problem of escaping from an erupting volcano (Science)…
Descriptors: Foreign Countries, Elementary School Curriculum, Elementary School Mathematics, Elementary School Science
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Adrian Adams; Lauren Barth-Cohen – CBE - Life Sciences Education, 2024
In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…
Descriptors: Undergraduate Students, Physics, Science Instruction, Laboratory Experiments
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Annie Irvine – International Journal of Social Research Methodology, 2024
Engaging with primary researchers during qualitative secondary analysis is a practice much recommended but rarely written about. In this article, I reflect on my experience of crossing an imagined boundary between the discrete textual dataset and its creators, of acknowledging and engaging with those researchers who invested in constructing the…
Descriptors: Researchers, Foreign Countries, Primary Sources, Research Methodology
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Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Christine G. Casey, Editor – Centers for Disease Control and Prevention, 2024
The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…
Descriptors: High School Students, At Risk Students, Health Behavior, National Surveys
Sara Clark – ProQuest LLC, 2024
This multiple descriptive case-study explored the perceptions and experiences of eight occupational therapy program academic fieldwork coordinators (AFWCs), regarding their usage of Formstack, as an online fieldwork data collection system. Previous survey research revealed that AFWCs had positive feelings about the new AOTA Fieldwork Performance…
Descriptors: Job Performance, Coordinators, Attitudes, Experience
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