Publication Date
In 2025 | 2 |
Since 2024 | 20 |
Since 2021 (last 5 years) | 50 |
Since 2016 (last 10 years) | 178 |
Since 2006 (last 20 years) | 507 |
Descriptor
Source
Author
McClurg, Ronald B. | 18 |
Winebrenner, Susan | 9 |
Brulles, Dina | 5 |
Gentry, Marcia | 5 |
Renzulli, Joseph S. | 5 |
Shaw, W. M., Jr. | 5 |
Brint, Steven | 4 |
Denney, Nancy Wadsworth | 4 |
Devlin, Barbara | 4 |
Evans, Ross A. | 4 |
Hubert, Lawrence | 4 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 33 |
Practitioners | 22 |
Teachers | 13 |
Administrators | 10 |
Policymakers | 6 |
Media Staff | 3 |
Location
United States | 22 |
Australia | 20 |
United Kingdom | 16 |
Canada | 13 |
Turkey | 13 |
United Kingdom (England) | 13 |
California | 11 |
Florida | 9 |
Germany | 9 |
Spain | 9 |
Texas | 9 |
More ▼ |
Laws, Policies, & Programs
Elementary and Secondary… | 4 |
Individuals with Disabilities… | 3 |
No Child Left Behind Act 2001 | 2 |
Elementary and Secondary… | 1 |
Grutter et al v Bollinger et… | 1 |
Vocational Education… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 1 |
Meets WWC Standards with or without Reservations | 1 |
Kelcey, Ben – Society for Research on Educational Effectiveness, 2014
A common design in education research for interventions operating at a group or cluster level is a cluster randomized trial (CRT) (Bloom, 2005). In CRTs, intact clusters (e.g., schools) are assigned to treatment conditions rather than individuals (e.g., students) and are frequently an effective way to study interventions because they permit…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
Rhoads, Christopher; Dye, Charles – Society for Research on Educational Effectiveness, 2014
Recent years have seen an increased interest in quantitative educational research studies that use random assignment (RA) to evaluate the causal impacts of educational interventions (Angrist, 2004). The multi-level structure of the public education system in the United States often leads to experimental designs where naturally occurring clusters…
Descriptors: Regression (Statistics), Cluster Grouping, Educational Research, Sample Size
Pond, Jarrad W. T.; Chini, Jacquelyn J. – Physical Review Physics Education Research, 2017
In this study, we explore the strategic self-regulatory and motivational characteristics of students in studio-mode physics courses at three universities with varying student populations and varying levels of success in their studio-mode courses. We survey students using questions compiled from several existing questionnaires designed to measure…
Descriptors: Algebra, Physics, Profiles, Student Characteristics
Drechsler, Jörg – Journal of Educational and Behavioral Statistics, 2015
Multiple imputation is widely accepted as the method of choice to address item-nonresponse in surveys. However, research on imputation strategies for the hierarchical structures that are typically found in the data in educational contexts is still limited. While a multilevel imputation model should be preferred from a theoretical point of view if…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Educational Research, Statistical Bias
Akinoglu, Orhan; Eren, Canan Dilek – Universal Journal of Educational Research, 2016
The aim of this research was to analyze pre-service teachers' perceptions of the concept "scientific knowledge" through metaphors. Phenomenology, one of qualitative research designs, was used in the study. A total of 189 pre-service teachers, including 158 females and 31 males, studying at different departments in the education faculty…
Descriptors: Scientific Literacy, Preservice Teachers, Figurative Language, Comparative Analysis
Niu, Ke; Niu, Zhendong; Zhao, Xiangyu; Wang, Can; Kang, Kai; Ye, Min – International Educational Data Mining Society, 2016
User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…
Descriptors: Web Based Instruction, Student Needs, User Needs (Information), Mathematics
Eakins, Amanda; Eakins, Sheldon L., Sr. – Journal of Learning in Higher Education, 2017
Recently the US have seen a movement of African American students demonstrating dissatisfaction with their treatment and presence at predominantly white institutions. Some of the common discrepancies from the students' perspectives have included the lack of student and faculty representation of color on these campuses. The model of cohort…
Descriptors: African American Students, Teacher Recruitment, Diversity (Faculty), Cluster Grouping
Navarro, Richard; Barbarasa, Estera; Thakkar, Ami – RTI International, 2017
We explore the recent undertaking in El Salvador to establish the country's first industry-higher education clusters in four economic sectors critical to growth and competitiveness: (1) information and communication technology; (2) light manufacturing; (3) energy and energy efficiency; and (4) agroindustry and food processing. These clusters take…
Descriptors: Universities, College Role, Economic Development, Knowledge Economy
Farris, Frank A.; Tsao, Ryan – PRIMUS, 2016
The technique of "group-averaging" produces colorings of a sphere that have the symmetries of various polyhedra. The concepts are accessible at the undergraduate level, without being well-known in typical courses on algebra or geometry. The material makes an excellent discovery project, especially for students with some background in…
Descriptors: Undergraduate Students, Art Activities, Mathematical Concepts, Photography
Ansimova, Nina P.; Zolotariova, Angelina V.; Lekomtseva, Elena N.; Razumova, Anzhelika B. – European Journal of Contemporary Education, 2017
In the article here is up-to-dated the problem of creation and implementation of the complex system on measurement and assessment of the teachers' competences. Here are presented approaches and approbations of the computer test as a means to assess formation of the teacher's metasubject competences on the example of researching of the group of…
Descriptors: Teacher Competency Testing, Teacher Competencies, Computer Assisted Instruction, Competency Based Teacher Education
Bowles, Terence V. – International Journal of School & Educational Psychology, 2017
Social skills training is a long-standing intervention for adolescents with social anxiety, while self-esteem is often ignored. However, there is little evidence suggesting that those with social anxiety require social skills training or interventions associated with self-esteem. The aim of the research was to investigate whether social skills and…
Descriptors: Intervention, Anxiety, Adolescent Development, Interpersonal Competence
Weiss, Michael J.; Lockwood, J. R.; McCaffrey, Daniel F. – Journal of Research on Educational Effectiveness, 2016
In the "individually randomized group treatment" (IRGT) experimental design, individuals are first randomly assigned to a treatment arm or a control arm, but then within each arm, are grouped together (e.g., within classrooms/schools, through shared case managers, in group therapy sessions, through shared doctors, etc.) to receive…
Descriptors: Randomized Controlled Trials, Error of Measurement, Control Groups, Experimental Groups
Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Li, Yaoran; Liu, Ruitao – ACT, Inc., 2015
This Issue Brief summarizes data collected from the ACT Career Club in Whyville, a leading educational virtual world for children ages 8-15, with an emphasis on student behavior within the CareerQuest room. We try to use visitors' behavior to understand the development of adolescents' career interests and understanding about occupations.…
Descriptors: Student Interests, Vocational Interests, Occupational Aspiration, Student Behavior
Xian, Sidong; Xia, Haibo; Yin, Yubo; Zhai, Zhansheng; Shang, Yan – Cogent Education, 2016
Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET…
Descriptors: Discriminant Analysis, Factor Analysis, Student Evaluation of Teacher Performance, Instructional Effectiveness