Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 20 |
| Since 2017 (last 10 years) | 89 |
| Since 2007 (last 20 years) | 363 |
Descriptor
Source
Author
Publication Type
Education Level
Location
| California | 13 |
| Netherlands | 11 |
| Australia | 9 |
| Canada | 9 |
| Turkey | 9 |
| United States | 8 |
| Florida | 7 |
| Germany | 7 |
| Massachusetts | 7 |
| Texas | 7 |
| Italy | 6 |
| More ▼ | |
Laws, Policies, & Programs
| Pell Grant Program | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 2 |
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 2 |
Halpin, Peter F. – Society for Research on Educational Effectiveness, 2016
Recent research on multiple measures of teaching effectiveness has redefined the role of in-classroom observations in teacher evaluation systems. In particular, most states now mandate that teachers are observed on multiple occasions during the school year, and it is increasingly common that multiple raters are utilized across the different rating…
Descriptors: Models, Multivariate Analysis, Scoring Rubrics, Teacher Evaluation
McNeish, Daniel – Review of Educational Research, 2017
In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…
Descriptors: Models, Statistical Analysis, Sampling, Sample Size
Chittum, Jessica R.; Jones, Brett D. – Journal of Educational Psychology, 2017
One purpose of this study was to determine whether patterns existed in pre-high school students' motivation-related perceptions of their science classes. Another purpose was to examine the extent to which these patterns were related to their science identification, gender, grade level, class effort, and intentions to persist in science. We…
Descriptors: Student Motivation, Science Education, Student Attitudes, Rural Schools
Harring, Jeffrey R.; Hodis, Flaviu A. – Educational Psychologist, 2016
Model-based clustering methods, commonly referred to as finite mixture modeling, have been applied to a wide variety of cross-sectional and longitudinal data to account for heterogeneity in population characteristics. In this article, we elucidate 2 such approaches: growth mixture modeling and latent profile analysis. Both techniques are…
Descriptors: Educational Psychology, Multivariate Analysis, Statistical Analysis, Models
Denson, Nida; Ing, Marsha – Research in Higher Education, 2014
Although used frequently in related fields such as K-12 education research, educational psychology, sociology, and social survey research, latent class analysis (LCA) has been infrequently used in higher education. This article provides higher education researchers with a pedagogical application of LCA to classify entering freshmen based on their…
Descriptors: Higher Education, College Freshmen, Student Diversity, Models
Otwinowska, Agnieszka – Language Awareness, 2017
The training of language teachers still follows traditional models of teachers' competences and awareness, focusing solely on the target language. Such models are incompatible with multilingual pedagogy, whereby languages are not taught in isolation, and learners' background languages are activated to enhance the process. When teaching…
Descriptors: Metalinguistics, Multilingualism, Psycholinguistics, Sociolinguistics
Swanson, H. Lee – Developmental Psychology, 2017
This study investigates whether age-related changes in the structure of 5 complex working memory (WM) tasks (a) reflect a general or domain specific system, (b) follows a similar trajectory across different age spans, and (c) contribute domain general or domain specific resources to achievement measures. The study parsed the sample (N = 2,471)…
Descriptors: Visual Perception, Spatial Ability, Verbal Ability, Short Term Memory
Pugh, Kevin J.; Bergstrom, Cassendra M.; Heddy, Benjamin C.; Krob, Karen E. – Journal of Experimental Education, 2017
The Teaching for Transformative Experiences in Science (TTES) model was designed to facilitate the application of academic learning in students' everyday experiences. In the current study, we describe a 2-year design-based intervention that aimed to further develop and evaluate the TTES model. In the first year, a teacher implemented the TTES…
Descriptors: Science Instruction, Transformative Learning, Instructional Design, Models
Taasoobshirazi, Gita; Heddy, Benjamin; Bailey, MarLynn; Farley, John – Instructional Science: An International Journal of the Learning Sciences, 2016
The present study used the Cognitive Reconstruction of Knowledge Model (CRKM) model of conceptual change as a framework for developing and testing how key cognitive, motivational, and emotional variables are linked to conceptual change in physics. This study extends an earlier study developed by Taasoobshirazi and Sinatra ("J Res Sci…
Descriptors: Models, Change, Physics, Scientific Concepts
Jackson, Dan; Rollins, Katie; Coughlin, Patrick – Research Synthesis Methods, 2014
Motivated by our meta-analytic dataset involving survival rates after treatment for critical leg ischemia, we develop and apply a new multivariate model for the meta-analysis of study level survival data at multiple times. Our data set involves 50 studies that provide mortality rates at up to seven time points, which we model simultaneously, and…
Descriptors: Multivariate Analysis, Meta Analysis, Mortality Rate, Comparative Analysis
Payton, Jamie; Barnes, Tiffany; Buch, Kim; Rorrer, Audrey; Zuo, Huifang – Computer Science Education, 2015
This study is a follow-up to one published in computer science education in 2010 that reported preliminary results showing a positive impact of service learning on student attitudes associated with success and retention in computer science. That paper described how service learning was incorporated into a computer science course in the context of…
Descriptors: Undergraduate Students, Computer Science Education, Service Learning, Integrated Curriculum
Aguinaga, Arellys; Gloria, Alberta M. – Journal of Diversity in Higher Education, 2015
This study examined the importance of identity and cultural fit within the university on Latina/o undergraduates' academic persistence decisions. The psychosociocultural model (Gloria & Rodriguez, 2000) provided a framework for the study in which 128 Latino/a students' generational level in the United States, cultural congruity, perceptions of…
Descriptors: Hispanic American Students, Undergraduate Students, College Environment, Academic Persistence
J. S. Hardin; G. Sarkis; P. . URC – Journal of Statistics Education, 2015
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article's focus on centrality, students can explore…
Descriptors: Network Analysis, Electronic Mail, Undergraduate Study, Statistical Analysis
Bose, Stacey; Roberts, Laura; White, George – Journal of Research on Christian Education, 2017
This study uses mixed methodology of the convergent design to examine stakeholder perceptions toward a transferred model of accreditation for national Christian schools in Latin America. Parents, teachers, and leaders from five accredited schools participated in an accreditation survey. One parent, teacher, and leader from each of the five…
Descriptors: Accreditation (Institutions), Christianity, Religious Education, Foreign Countries
Andrade, Alejandro; Danish, Joshua A.; Maltese, Adam V. – Journal of Learning Analytics, 2017
Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…
Descriptors: Measurement, Interaction, Models, Educational Environment

Peer reviewed
Direct link
