Publication Date
| In 2026 | 0 |
| Since 2025 | 1156 |
| Since 2022 (last 5 years) | 7330 |
| Since 2017 (last 10 years) | 19474 |
| Since 2007 (last 20 years) | 50387 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 5440 |
| Teachers | 3185 |
| Researchers | 2058 |
| Administrators | 1269 |
| Policymakers | 816 |
| Counselors | 331 |
| Students | 297 |
| Parents | 164 |
| Media Staff | 148 |
| Community | 146 |
| Support Staff | 67 |
| More ▼ | |
Location
| Australia | 2212 |
| Canada | 1621 |
| United States | 1406 |
| United Kingdom | 1383 |
| California | 1104 |
| Turkey | 1021 |
| China | 1009 |
| United Kingdom (England) | 855 |
| Germany | 832 |
| Netherlands | 683 |
| Texas | 645 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 32 |
| Meets WWC Standards with or without Reservations | 53 |
| Does not meet standards | 50 |
Lister, Pen – Smart Learning Environments, 2021
The Pedagogy of Experience Complexity for Smart Learning (PECSL) is a four-tier model of considerations for the design and development of learning activities situated in real world hyperlocal locations, mediated by smart enough technologies. Learner experience is placed at the centre of learning design, focusing on the complex interrelated…
Descriptors: Electronic Learning, Teaching Methods, Models, Learning Activities
Sugiarti; Husain, Halimah – International Journal of Instruction, 2021
Academic honesty is a fundamental property of character values from an early age. It should be integrated into every learning process in the context of habituation towards continual learning. This study aimed to investigate student's academic honesty through acid-base material in chemistry using contextual-based discovery learning (CDL) model. By…
Descriptors: Discovery Learning, Models, Cheating, Ethics
Greene, Jeffrey A.; Copeland, Dana Z.; Deekens, Victor M. – Educational Psychology Review, 2021
Increases in technology use, among youth and adults, are concerning given the volume of information produced and disseminated in the modern world. Conceptual models have been developed to understand how people manage the large volume of information encountered during intentional learning activities with technology. What, if anything, do people…
Descriptors: Influence of Technology, Information Dissemination, Access to Information, Incidental Learning
Hanisch, Susan; Eirdosh, Dustin – Science & Education, 2021
Teleological reasoning is viewed as a major hurdle to evolution education, and yet, eliciting, interpreting, and reflecting upon teleological language presents an arguably greater challenge to the evolution educator and researcher. This article argues that making explicit the role of behavior as a causal factor in the evolution of particular…
Descriptors: Science Instruction, Teaching Methods, Science Education, Evolution
Mendez, José – Afterschool Matters, 2021
With an increase in the number of enrichment options available in out-of-school time (OST), young people can explore topics generally passed over in a typical school day. Parent perception of afterschool programming is beginning to shift from a simple necessity of the work week to a conscious choice about the daily experiences of their children.…
Descriptors: Barriers, After School Programs, Student Experience, Achievement Gap
McBane, George C. – Journal of Chemical Education, 2021
The basic SIR (susceptible-infectious-removed) model of epidemiology is presented in chemical kinetic terms with a simple two-reaction mechanism. The conditions for the development of epidemics, the course of a simple closed epidemic, and the bases of several mitigation strategies are described in terms of the underlying first- and second-order…
Descriptors: Chemistry, Kinetics, Epidemiology, Models
Ziegler, Albert; Kuo, Ching-Chih; Eu, Sen-Peng; Gläser-Zikuda, Michaela; Nuñez, Miguelina; Yu, Hsiao-Ping; Harder, Bettina – Education Sciences, 2021
The aim of this paper is to increase transparency in the scientific analysis of equity gaps in education. This should be useful in avoiding common ambiguities and misunderstandings in the discourse and in presenting the analyses results in a constructive way. We focused on a very basic aspect of transparency: Information availability. We…
Descriptors: Equal Education, Achievement Gap, Models, Educational Change
Pace, David – Teaching & Learning Inquiry, 2021
Decoding the Disciplines has emerged as one of the foremost approaches to the scholarship of teaching and learning (SoTL) and is being used to increase learning across the globe. But it is often not recognized that the paradigm has undergone enormous changes since its appearance in 2004. The original model has been clarified and perfected, but…
Descriptors: Scholarship, Instruction, Learning, Models
Braun, Henry – International Journal of Educational Methodology, 2021
This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can…
Descriptors: Data Use, Social Sciences, Data Analysis, Data Interpretation
Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2021
Network meta-analysis (NMA) compares the efficacy and harm between several treatments by combining direct and indirect evidence. The validity of NMA requires that all available evidence form a coherent network. Failure to meet such requirement is known as inconsistency. The most popular approach to inconsistency detection is to compare the direct…
Descriptors: Networks, Meta Analysis, Evidence, Evaluation Methods
Forthmann, Boris; Szardenings, Carsten; Dumas, Denis – Journal of Creative Behavior, 2021
The equal odds baseline is a parsimonious model that describes the relationship between quantity and quality of output in scientific creativity. Specifically, it is posited that quality is a linear function of quantity, and therefore, strong positive correlations between these two variables are expected. Strong positive correlations also play a…
Descriptors: Creative Thinking, Structural Equation Models, Scientific Research, Correlation
Paek, Insu; Liang, Xinya; Lin, Zhongtian – Measurement: Interdisciplinary Research and Perspectives, 2021
The property of item parameter invariance in item response theory (IRT) plays a pivotal role in the applications of IRT such as test equating. The scope of parameter invariance when using estimates from finite biased samples in the applications of IRT does not appear to be clearly documented in the IRT literature. This article provides information…
Descriptors: Item Response Theory, Computation, Test Items, Bias
Kara, Bennie – SAGE Publications Ltd (UK), 2021
"A Little Guide for Teachers: Diversity in Schools" aims to provide starting points for teachers and leaders in creating a curriculum, either across disciplines or within subjects, that is as deep and diverse as their students. "The Little Guide for Teachers" series is little in size but BIG on all the support and inspiration…
Descriptors: Diversity (Institutional), Curriculum Development, Language Usage, Models
Andrew Gelman; Matthijs Vákár – Grantee Submission, 2021
It is not always clear how to adjust for control data in causal inference, balancing the goals of reducing bias and variance. We show how, in a setting with repeated experiments, Bayesian hierarchical modeling yields an adaptive procedure that uses the data to determine how much adjustment to perform. The result is a novel analysis with increased…
Descriptors: Bayesian Statistics, Statistical Analysis, Efficiency, Statistical Inference
James Ohisei Uanhoro – ProQuest LLC, 2021
This dissertation is a collection of three papers. The first is a conceptual paper, followed by two data analysis papers. All three papers examine the connection between structural equation models and regression models, and how one may better learn, research and apply structural equation models when structural equation models are thought of as…
Descriptors: Structural Equation Models, Bayesian Statistics, Multiple Regression Analysis, Factor Analysis

Peer reviewed
Direct link
