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Emily K. Toutkoushian; Kihyun Ryoo – Measurement: Interdisciplinary Research and Perspectives, 2024
The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significant challenges for assessment because traditional assessments may not be able to capture the ways in which students engage with content. Science…
Descriptors: Middle School Students, Academic Standards, Science Education, Learner Engagement
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Bradley Bowen; Bryanne Peterson – Journal of STEM Education: Innovations and Research, 2024
Modeling and simulation activities are common in secondary technology and engineering education classrooms. Virtual simulations are used to integrate engineering design into classroom instruction. The performance outcomes of a student's final virtual design usually depend on the level of knowledge application. When applying the learned content to…
Descriptors: Models, Middle Schools, STEM Education, Secondary School Curriculum
James Soland; Megan Kuhfeld – Annenberg Institute for School Reform at Brown University, 2020
Survey respondents use different response styles when they use the categories of the Likert scale differently despite having the same true score on the construct of interest. For example, respondents may be more likely to use the extremes of the response scale independent of their true score. Research already shows that differing response styles…
Descriptors: Social Emotional Learning, Scores, Likert Scales, Surveys
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Langbeheim, Elon; Levy, Sharona T. – International Journal of Science Education, 2018
We developed a computerised simulation that utilises embodied modelling by letting students play the role of particles in a liquid. We compared the learning of two eight-grade classrooms that used the embodied modelling simulation during a weeklong learning module on phase change, with a comparison group that used an ordinary simulation with no…
Descriptors: Chemistry, Science Instruction, Comparative Analysis, Grade 8
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Cheng, Ying; Shao, Can; Lathrop, Quinn N. – Educational and Psychological Measurement, 2016
Due to its flexibility, the multiple-indicator, multiple-causes (MIMIC) model has become an increasingly popular method for the detection of differential item functioning (DIF). In this article, we propose the mediated MIMIC model method to uncover the underlying mechanism of DIF. This method extends the usual MIMIC model by including one variable…
Descriptors: Test Bias, Models, Simulation, Sample Size
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Gnidovec, Tanja; Žemlja, Mojca; Dolenec, Andreja; Torkar, Gregor – Journal of Science Education and Technology, 2020
Learning the basics of human anatomy is challenging for schoolchildren due to its three-dimensional nature and complexity as a system. This study created educational materials for learning about and teaching the human circulatory system based on augmented reality (AR) technology and a structure-behavior-function (SBF) model, including 2D/3D…
Descriptors: Computer Simulation, Anatomy, Human Body, Teaching Methods
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Xiang, Lin; Passmore, Cynthia – Journal of Science Education and Technology, 2015
There has been increased recognition in the past decades that model-based inquiry (MBI) is a promising approach for cultivating deep understandings by helping students unite phenomena and underlying mechanisms. Although multiple technology tools have been used to improve the effectiveness of MBI, there are not enough detailed examinations of how…
Descriptors: Inquiry, Active Learning, Models, Case Studies
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
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Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice – Grantee Submission, 2014
Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of…
Descriptors: Simulation, Transfer of Training, Bayesian Statistics, Inquiry
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Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
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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)
Gobert, Janice D.; Koedinger, Kenneth R. – Society for Research on Educational Effectiveness, 2011
The National frameworks for science emphasize inquiry skills (NRC, 1996), however, in typical classroom practice, science learning often focuses on rote learning in part because science process skills are difficult to assess (Fadel, Honey, & Pasnick, 2007) and rote knowledge is prioritized on high-stakes tests. Short answer assessments of…
Descriptors: Performance Based Assessment, Predictive Validity, High Stakes Tests, Rote Learning
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries