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Hyunyi Jung; Corey Brady – Mathematical Thinking and Learning: An International Journal, 2025
In this article, we investigated how a class engaged in whole-class discussions of modeling solutions, across two different types of modeling tasks: a Model Eliciting Activity (MEA) and a Three-Act Task. We analyzed whole-class discourse as small groups presented and responded to each other's solutions to a MEA and a Three-Act Task. We have also…
Descriptors: Mathematical Models, Discussion (Teaching Technique), Class Activities, Simulation
Provost, Amanda; Lim, Su San; York, Toni; Panorkou, Nicole – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The frequentist and classical models of probability provide students with different lenses through which they can view probability. Prior research showed that students may bridge these two lenses through instructional designs that begin with a clear connection between the two, such as coin tossing. Considering that this connection is not always…
Descriptors: Probability, Models, Mathematics Instruction, Teaching Methods
Marland, Joshua; Harrick, Matthew; Sireci, Stephen G. – Educational and Psychological Measurement, 2020
Student assessment nonparticipation (or opt out) has increased substantially in K-12 schools in states across the country. This increase in opt out has the potential to impact achievement and growth (or value-added) measures used for educator and institutional accountability. In this simulation study, we investigated the extent to which…
Descriptors: Value Added Models, Teacher Effectiveness, Teacher Evaluation, Elementary Secondary Education
Klapproth, Florian – Education Policy Analysis Archives, 2015
Two objectives guided this research. First, this study examined how well teachers' tracking decisions contribute to the homogenization of their students' achievements. Second, the study explored whether teachers' tracking decisions would be outperformed in homogenizing the students' achievements by statistical models of tracking decisions. These…
Descriptors: Academic Achievement, Ability Grouping, Secondary Education, Decision Making
Jak, Suzanne; Oort, Frans J.; Dolan, Conor V. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
We present a test for cluster bias, which can be used to detect violations of measurement invariance across clusters in 2-level data. We show how measurement invariance assumptions across clusters imply measurement invariance across levels in a 2-level factor model. Cluster bias is investigated by testing whether the within-level factor loadings…
Descriptors: Statistical Bias, Measurement, Structural Equation Models, Hierarchical Linear Modeling
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
National Aeronautics and Space Administration (NASA), 2013
With just a few materials, building a paper model of the International Space Station (ISS) can become an excellent group, troop, or class project. This publication contains a brief overview of the ISS, its parts, the science that occurs on board, instructions, and extensions for an interdisciplinary technology experience. Discover more about the…
Descriptors: Space Sciences, Space Exploration, Science Instruction, Simulation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in Education