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Andereck, Barbara – Physics Teacher, 2023
The nature and cause of the phases of the moon are widely misunderstood. Perhaps the problem is a general decline in scientific literacy, or maybe it is the loss of direct and regular observation of the moon in society generally. Many people do not see the moon as a half-illuminated sphere. Adults are often surprised to realize that the moon can…
Descriptors: Astronomy, Science Instruction, Teaching Methods, Scientific Literacy
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Wire, Heather – ProQuest LLC, 2023
This research examined how a Digital Escape Room (DER) about accessibility contributed to the potential change of faculty behavioral intentions toward developing accessible online course content. This paper describes the design of the DER and a pilot study of its initial implementation that consisted of two phases, (1 a usability test with 3…
Descriptors: Models, Computer Simulation, Online Courses, Instructional Design
Alex Morichon; Guillaume Dannhoff; Laurent Barantin; Christophe Destrieux; Igor Lima Maldonado – Anatomical Sciences Education, 2024
Traditional teaching methods struggle to convey three-dimensional concepts effectively. While 3D virtual models and virtual reality platforms offer a promising approach to teaching anatomy, their cost and specialized equipment pose limitations, especially in disadvantaged areas. A simpler alternative is to use virtual 3D models displayed on…
Descriptors: Anatomy, Models, Handheld Devices, Telecommunications
Line Have Musaeus; Deborah Tatar; Peter Musaeus – Journal of Biological Education, 2024
Computational modelling is widely used in biological science. Therefore, biology students need to learn computational modelling. However, there is a lack of evidence about how to teach computational modelling in biology and what the effects are on student learning. The purpose of this intervention-control study was to investigate how knowledge in…
Descriptors: Computation, Models, High School Students, Biology
Fay, Derek M.; Levy, Roy; Schulte, Ann C. – Journal of Experimental Education, 2022
Longitudinal data structures are frequently encountered in a variety of disciplines in the social and behavioral sciences. Growth curve modeling offers a highly extensible framework that allows for the exploration of rich hypotheses. However, owing to the presence of interrelated sources of potential data-model misfit at multiple levels, the…
Descriptors: Measurement, Models, Bayesian Statistics, Hierarchical Linear Modeling
Aimiuwu, Ehi E. – International Journal of Technology in Education and Science, 2022
CDC.gov (2020) shows that the coronavirus (COVID-19) has exposed the cost of an unjust law enforcement and judicial system against minorities. Non-Asian minorities, who are usually the poor with health issues, have been the most negatively affected by COVID-19. The aim of this study is to explain through a literature review how virtual reality…
Descriptors: Social Justice, Computer Simulation, Artificial Intelligence, Law Enforcement
Webb, Mary; Tracey, Megan; Harwin, William; Tokatli, Ozan; Hwang, Faustina; Johnson, Ros; Barrett, Natasha; Jones, Chris – Education and Information Technologies, 2022
This paper reports on a study which designed and developed a multi-fingered haptic interface in conjunction with a three-dimensional (3D) virtual model of a section of the cell membrane in order to enable students to work collaboratively to learn cell biology. Furthermore, the study investigated whether the addition of haptic feedback to the 3D…
Descriptors: Computer Simulation, Cooperative Learning, Cytology, Models
Finch, Holmes – Applied Measurement in Education, 2022
Much research has been devoted to identification of differential item functioning (DIF), which occurs when the item responses for individuals from two groups differ after they are conditioned on the latent trait being measured by the scale. There has been less work examining differential step functioning (DSF), which is present for polytomous…
Descriptors: Comparative Analysis, Item Response Theory, Item Analysis, Simulation
Sosa, Ricardo; van Dijck, Max – Creativity Research Journal, 2022
The distinction between "Big-C" and "little-c" creativity implies that the generative process of celebrated creators is of a special type or degree. Arguments for and against such a hierarchy of creativity are found in the literature, primarily built on rhetorical argumentation. The aim of this work is to examine the rationale…
Descriptors: Creativity, Computer Simulation, Models, Social Systems
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2023
Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…
Descriptors: Educational Research, Data Analysis, Error of Measurement, Computation
Paek, Insu; Lin, Zhongtian; Chalmers, Robert Philip – Educational and Psychological Measurement, 2023
To reduce the chance of Heywood cases or nonconvergence in estimating the 2PL or the 3PL model in the marginal maximum likelihood with the expectation-maximization (MML-EM) estimation method, priors for the item slope parameter in the 2PL model or for the pseudo-guessing parameter in the 3PL model can be used and the marginal maximum a posteriori…
Descriptors: Models, Item Response Theory, Test Items, Intervals
Rachel L. Schechter; Paul A. Chase; Apoorva Shivaram – Online Submission, 2023
Using a mixed-method approach, researchers examined college instructors' use of a virtual lab simulation library, Labster, students' perceptions of the simulations on their learning and future STEM plans, as well as data from the library to explore patterns of lab use and quiz scores. A detailed look at Contemporary Biology I and Biology II quiz…
Descriptors: Computer Simulation, Science Laboratories, STEM Education, Models
Hootan Roshandel; Matthew Shammami; Shiyun Lin; Yin-Pok Wong; Paula L. Diaconescu – Journal of Chemical Education, 2023
The rise of virtual and online education in recent years has led to the development and popularization of many online tools, notably three-dimensional (3D) models and augmented reality (AR), for visualizing various structures in chemical sciences. The majority of the developed tools focus on either small molecules or biological systems, as…
Descriptors: Plastics, Science Instruction, Chemistry, Computer Software
Meral, Cigdem – ProQuest LLC, 2023
Preparing students for science, technology, engineering, and mathematics (STEM) education is one of the United States' K-12 educational concerns (Gandhi et al., 2016). Despite the National Science Foundation's (NSF) report that the number of students participating in STEM fields continues to increase, the number of underrepresented students…
Descriptors: High School Students, STEM Education, Career Choice, Decision Making

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