Publication Date
In 2025 | 127 |
Since 2024 | 542 |
Since 2021 (last 5 years) | 1894 |
Since 2016 (last 10 years) | 5244 |
Since 2006 (last 20 years) | 12483 |
Descriptor
Source
Author
Burstein, Leigh | 18 |
Gaševic, Dragan | 18 |
McClurg, Ronald B. | 17 |
Onwuegbuzie, Anthony J. | 17 |
Barnes, Tiffany | 16 |
Ingels, Steven J. | 16 |
Little, Todd D. | 16 |
Johnson, L. | 14 |
Price, Gary G. | 14 |
Pardo, Abelardo | 13 |
Selwyn, Neil | 13 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 669 |
Practitioners | 649 |
Researchers | 460 |
Policymakers | 292 |
Administrators | 253 |
Students | 84 |
Media Staff | 39 |
Counselors | 34 |
Community | 28 |
Parents | 27 |
Support Staff | 8 |
More ▼ |
Location
Australia | 520 |
United States | 415 |
California | 333 |
Canada | 322 |
United Kingdom | 287 |
Turkey | 280 |
Texas | 243 |
Florida | 197 |
United Kingdom (England) | 186 |
New York | 169 |
North Carolina | 148 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 4 |
Meets WWC Standards with or without Reservations | 7 |
Does not meet standards | 14 |
Matthew Moreno; Lucia Patino Melo; Keerat Grewal; Negar Matin; Sayed Azher; Jason M. Harley – Metacognition and Learning, 2024
Medical simulations allow trainees to work within teams to develop their self-regulated learning (SRL) and socially-shared regulated learning (SSRL) skills (Bransen et al., 2022). Both skillsets help to better prepare medical trainees for the multifaceted challenges inherent in clinical practice. SRL skills are imperative in empowering learners to…
Descriptors: Data Analysis, Medical Students, Trainees, Self Control
Han Du; Hao Wu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Real data are unlikely to be exactly normally distributed. Ignoring non-normality will cause misleading and unreliable parameter estimates, standard error estimates, and model fit statistics. For non-normal data, researchers have proposed a distributionally-weighted least squares (DLS) estimator to combines the normal theory based generalized…
Descriptors: Least Squares Statistics, Matrices, Statistical Distributions, Bayesian Statistics
Suleyman Alpaslan Sulak; Nigmet Koklu – European Journal of Education, 2024
This study employs advanced data mining techniques to investigate the DASS-42 questionnaire, a widely used psychological assessment tool. Administered to 680 students at Necmettin Erbakan University's Ahmet Kelesoglu Faculty of Education, the DASS-42 comprises three distinct subscales--depression, anxiety and stress--each consisting of 14 items.…
Descriptors: Foreign Countries, Algorithms, Information Retrieval, Data Analysis
Christopher M. Loan – ProQuest LLC, 2024
Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…
Descriptors: Data Analysis, Simulation, Longitudinal Studies, Hierarchical Linear Modeling
Anis Mardiana Ahmad; Noor Saifurina Nana Khurizan – SAGE Open, 2024
The interest in Data Envelopment Analysis (DEA) has grown since its first put forward in 1978. In response to the overwhelming interest, systematic literature reviews, as well as bibliometric studies, have been performed in describing the state-of-the-art and offering quantitative outlines with regard to the high-impact papers on global…
Descriptors: Data Analysis, Higher Education, Bibliometrics, Educational Research
Pongchanun Luangpaiboon; Chiramet Phinkrathok; Walailak Atthirawong; Pasura Aungkulanon – SAGE Open, 2024
The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals' unique requirements and…
Descriptors: Decision Making, College Faculty, Simulation, Efficiency
Rebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
Natsumi Ueda; Adrianna Kezar – Cogent Education, 2024
Leadership programs for college students have significantly expanded over the past decades. However, there remains a lack of systematic synthesis regarding pedagogical practices employed in these programs. This article aims to fill this research gap by presenting a systematic review of empirical studies examining pedagogies in formal leadership…
Descriptors: Literature Reviews, College Students, Student Leadership, Leadership Training
Steven Snead – ProQuest LLC, 2024
Data-based decision-making has been a frequently used policy and practice intervention used in schools to help inform the decision-making processes of educational practitioners, with the aim of improving student outcomes. Interim benchmark assessments are designed by commercial test developers to support educators in this framework. In fact, the…
Descriptors: Student Evaluation, Data Analysis, Educational Practices, Decision Making
Hiromichi Hagihara; Mikako Ishibashi; Yusuke Moriguchi; Yuta Shinya – Developmental Science, 2024
Scale errors are intriguing phenomena in which a child tries to perform an object-specific action on a tiny object. Several viewpoints explaining the developmental mechanisms underlying scale errors exist; however, there is no unified account of how different factors interact and affect scale errors, and the statistical approaches used in the…
Descriptors: Measurement, Error of Measurement, Meta Analysis, Data Analysis
Salomé Do; Étienne Ollion; Rubing Shen – Sociological Methods & Research, 2024
The last decade witnessed a spectacular rise in the volume of available textual data. With this new abundance came the question of how to analyze it. In the social sciences, scholars mostly resorted to two well-established approaches, human annotation on sampled data on the one hand (either performed by the researcher, or outsourced to…
Descriptors: Computation, Social Sciences, Natural Language Processing, Artificial Intelligence
Jiang, Shiyan; Qian, Yingxiao; Tang, Hengtao; Yalcinkaya, Rabia; Rosé, Carolyn P.; Chao, Jie; Finzer, William – Education and Information Technologies, 2023
As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Artificial Intelligence
El Kadiri Boutchich, Driss – Journal of Education, 2023
This work aims to elaborate a governance composite index for research laboratories in public university. This index is composed by an indicator of responsible liberalism associating effectiveness and ethics, to which are added an organizational management indicator and a strategic management indicator. To achieve the above aim, several methods are…
Descriptors: Educational Research, Laboratories, Governance, Universities
Ackerman, Rakefet – Educational Psychology Review, 2023
Solving problems in educational settings, as in daily-life scenarios, involves constantly assessing one's own confidence in each considered solution. Metacognitive research has exposed cues that may bias confidence judgments (e.g., familiarity with question terms). Typically, metacognitive research methodologies require examining misleading cues…
Descriptors: Cues, Instructional Design, Bias, Problem Solving
Fauzi, Ahmad; Fatmawati, Diani; Hali, Ali Usman – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2023
Students' knowledge of data analysis determines the quality of the research they report but they tend to perceive courses on statistics or data analysis as challenging and unappealing. The present study aimed to investigate the correlation between biology education students' attitudes toward statistics and their proficiency in determining various…
Descriptors: Student Attitudes, Biology, Statistics Education, Knowledge Level