NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 195 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Singh, Ajit – Journal of Learning and Teaching in Digital Age, 2021
The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…
Descriptors: Behavior, Measurement Techniques, Data Use, Data Collection
Cheng, Diane – Postsecondary Value Commission, 2021
There are a number of ways that student investment can be measured, including full cost of attendance (COA, also known as sticker price), net price (COA minus grant aid), and opportunity costs in the form of forgone earnings. This paper explores those options and makes recommendations for how student investment should be measured with ideal data…
Descriptors: Measurement Techniques, Student Costs, Investment, College Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hoek, Lianne; Munniksma, Anke; Dijkstra, Anne Bert – Journal of Social Science Education, 2022
Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…
Descriptors: Teaching Methods, Citizenship Education, Instructional Effectiveness, Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Rotman, Assaf; Shalev, Michael – Sociological Methods & Research, 2022
Automatically collected behavioral data on the location of users of mobile phones offer an unprecedented opportunity to measure mobilization in mass protests, while simultaneously expanding the range of researchable questions. Location data not only improve estimation of the number and composition of participants in large demonstrations. Thanks to…
Descriptors: Measurement Techniques, Activism, Telecommunications, Handheld Devices
Catherine P. Bradshaw; Jonathan Cohen; Dorothy L. Espelage; Maury Nation – Grantee Submission, 2021
School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…
Descriptors: School Safety, Educational Environment, School Psychologists, Role
Peer reviewed Peer reviewed
Direct linkDirect link
Abbie Raikes – Journal of Research in Childhood Education, 2024
As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…
Descriptors: Early Childhood Education, Data Use, Decision Making, Child Care
Peer reviewed Peer reviewed
Direct linkDirect link
Catherine P. Bradshaw; Jonathan Cohen; Dorothy L. Espelage; Maury Nation – School Psychology Review, 2021
School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…
Descriptors: School Safety, Educational Environment, School Psychologists, Role
Beach, J. M. – Rowman & Littlefield Publishers, 2021
This book examines the idea of educational accountability in higher education, which has become a new secular gospel. But do accountability policies actually make colleges better? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless?…
Descriptors: Accountability, Higher Education, Educational Policy, Measurement Techniques
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Van Meter, Peggy N. – Frontline Learning Research, 2020
The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…
Descriptors: Motivation, Learning Strategies, Measurement Techniques, Self Management
Kerry Elliott; Hilary Hollingsworth – Australian Council for Educational Research, 2023
Collective efficacy has become a prominent feature in educational policy and practice with growing evidence that a strong sense of collective efficacy amongst educators leads to better outcomes for students. With growing interest in the importance of collective efficacy and how to cultivate it, the Collective Efficacy Tracking Tool was created to…
Descriptors: School Effectiveness, Teacher Effectiveness, Group Dynamics, Trust (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Huang, Hsu-Wen; King, Jung-Tai; Lee, Chia-Lin – Educational Technology & Society, 2020
Integrating education practices and measurements of brain activity has the potential to make learning more engaging and productive. Direct recordings of electrical activity in the brain provide important information about the complex dynamics of the cognitive processes and mental states that occur during learning, which can ultimately empower…
Descriptors: Educational Technology, Electronic Learning, Brain, Cognitive Processes
State Educational Technology Directors Association, 2021
At the local and state level, some data collection takes place around access to devices and broadband, but little alignment across these collections exists to paint an accurate picture of how and where digital equity gaps persist nationwide. Dell Technologies and the State Educational Technology Directors Association (SETDA) collaborated to assess…
Descriptors: Data Collection, Access to Computers, Technological Literacy, Equal Education
Peer reviewed Peer reviewed
Direct linkDirect link
Knipe, Sally; Bottrell, Christine – Educational Research Quarterly, 2023
The technological capacity that now exists to gather and store large amounts of data has improved access to information related to the academic performance, demographic profile and welfare needs of young people in a school. Improvements in data management techniques, statistical data analysis and software packages have made retrieving and…
Descriptors: Measurement Techniques, Indexes, Data Analysis, Enrollment
Peer reviewed Peer reviewed
Direct linkDirect link
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
Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2019
Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…
Descriptors: Data Interpretation, Effect Size, Intervention, Benchmarking
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12  |  13