Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 21 |
Descriptor
Source
Author
Publication Type
Reports - Research | 8 |
Journal Articles | 7 |
Collected Works - Proceedings | 5 |
Books | 4 |
Reports - Evaluative | 3 |
Collected Works - General | 2 |
Guides - Classroom - Teacher | 2 |
Reports - Descriptive | 1 |
Education Level
Elementary Secondary Education | 21 |
Higher Education | 6 |
Secondary Education | 6 |
Elementary Education | 5 |
Middle Schools | 5 |
Postsecondary Education | 5 |
Grade 4 | 4 |
Grade 8 | 4 |
Junior High Schools | 4 |
Early Childhood Education | 3 |
Grade 7 | 3 |
More ▼ |
Audience
Teachers | 3 |
Practitioners | 1 |
Location
Czech Republic | 2 |
District of Columbia | 2 |
Spain | 2 |
United States | 2 |
Australia | 1 |
Austria | 1 |
Belgium | 1 |
Botswana | 1 |
Brazil | 1 |
China | 1 |
China (Shanghai) | 1 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Massachusetts Comprehensive… | 1 |
National Assessment of… | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
Isaias, Pedro, Ed.; Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed. – Cognition and Exploratory Learning in the Digital Age, 2020
This volume provides a comprehensive and contemporary depiction of the swift evolution of learning technologies and the innovations that derive from their deployment in school education. It comprises cases studies, research focused on emergent technologies and experiments with existing tools in a wide range of scenarios. The studies included in…
Descriptors: Educational Technology, Educational Innovation, Computer Uses in Education, STEM Education
Repenning, Alexander; Webb, David C.; Koh, Kyu Han; Nickerson, Hilarie; Miller, Susan B.; Brand, Catharine; Her Many Horses, Ian; Basawapatna, Ashok; Gluck, Fred; Grover, Ryan; Gutierrez, Kris; Repenning, Nadia – ACM Transactions on Computing Education, 2015
An educated citizenry that participates in and contributes to science technology engineering and mathematics innovation in the 21st century will require broad literacy and skills in computer science (CS). School systems will need to give increased attention to opportunities for students to engage in computational thinking and ways to promote a…
Descriptors: Games, Design, Computer Science Education, Computer Simulation
Shelley, Mack, Ed.; Admiraal, Wilfried, Ed.; Akcay, Hakan, Ed. – Online Submission, 2021
"Proceedings of International Conference on Education in Mathematics, Science and Technology" includes full papers presented at the International Conference on Education in Mathematics, Science and Technology (ICEMST) which took place on April 1-4, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share your…
Descriptors: Chemistry, Science Experiments, Climate, Problem Solving
Goldhaber, Dan; Chaplin, Duncan – National Center for Analysis of Longitudinal Data in Education Research, 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value-added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: Teacher Effectiveness, Academic Achievement, Models, Statistical Bias
Glazerman, Steven; Dotter, Dallas – Mathematica Policy Research, Inc., 2016
This brief describes (1) what parents look for when they choose a school and (2) how these preferences affect the sorting of students into schools under different school-choice policies. The findings are based on lists of preferred schools submitted by over 20,000 applicants to a citywide lottery for more than 100 traditional and charter public…
Descriptors: School Choice, Charter Schools, Simulation, Selective Admission
Glazerman, Steve; Dotter, Dallas – Mathematica Policy Research, Inc., 2016
We estimate school-choice preferences revealed by the rank-ordered lists submitted by more than 22,000 applicants to a citywide lottery for more than 200 traditional and charter public schools in Washington, DC. The results confirm previously reported findings that commuting distance, school demographics, and academic indicators play important…
Descriptors: Charter Schools, School Choice, Simulation, Selective Admission
Warkentien, Siri; Silver, David – Society for Research on Educational Effectiveness, 2016
Public schools with impressive records of serving lower-performing students are often overlooked because their average test scores, even when students are growing quickly, are lower than scores in schools that serve higher-performing students. Schools may appear to be doing poorly either because baseline achievement is not easily accounted for or…
Descriptors: Public Schools, Low Achievement, Value Added Models, Achievement Gains
Zhang, Jinming – Applied Psychological Measurement, 2012
It is common to assume during a statistical analysis of a multiscale assessment that the assessment is composed of several unidimensional subtests or that it has simple structure. Under this assumption, the unidimensional and multidimensional approaches can be used to estimate item parameters. These two approaches are equivalent in parameter…
Descriptors: Simulation, Computation, Models, Statistical Analysis
Cai, Li – Journal of Educational and Behavioral Statistics, 2010
Item factor analysis (IFA), already well established in educational measurement, is increasingly applied to psychological measurement in research settings. However, high-dimensional confirmatory IFA remains a numerical challenge. The current research extends the Metropolis-Hastings Robbins-Monro (MH-RM) algorithm, initially proposed for…
Descriptors: Simulation, Questionnaires, Measurement, Factor Analysis
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains papers dealing…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, Teaching Methods
Muschla, Judith A.; Muschla, Gary Robert; Muschla, Erin – Jossey-Bass, An Imprint of Wiley, 2012
The new Common Core State Standards for Mathematics have been formulated to provide students with instruction that will help them acquire a thorough knowledge of math at their grade level, which will in turn enable them to move on to higher mathematics with competence and confidence. "Hands-on Activities for Teaching the Common Core Math…
Descriptors: State Standards, Mathematics Instruction, Academic Standards, Experiential Learning
Urban, Michael J., Ed.; Falvo, David A., Ed. – IGI Global, 2016
The application of technology in classroom settings has equipped educators with innovative tools and techniques for effective teaching practice. Integrating digital technologies at the elementary and secondary levels helps to enrich the students' learning experience and maximize competency in the areas of science, technology, engineering, and…
Descriptors: Elementary Secondary Education, STEM Education, Outcomes of Education, Technology Integration
Li, Deping; Oranje, Andreas; Jiang, Yanlin – Journal of Educational and Behavioral Statistics, 2009
To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The model and parameter estimation are developed and a simulation was carried out to evaluate parameter recovery. Subsequently, both a hierarchical and…
Descriptors: Computation, National Competency Tests, Measurement, Regression (Statistics)
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2021
These proceedings contain the papers of the 18th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2021), held virtually, due to an exceptional situation caused by the COVID-19 pandemic, from October 13-15, 2021, and organized by the International Association for Development of the Information Society…
Descriptors: Computer Simulation, Open Educational Resources, Telecommunications, Handheld Devices
Previous Page | Next Page »
Pages: 1 | 2