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Showing 16 to 30 of 87 results Save | Export
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Forthmann, Boris; Szardenings, Carsten; Dumas, Denis – Journal of Creative Behavior, 2021
The equal odds baseline is a parsimonious model that describes the relationship between quantity and quality of output in scientific creativity. Specifically, it is posited that quality is a linear function of quantity, and therefore, strong positive correlations between these two variables are expected. Strong positive correlations also play a…
Descriptors: Creative Thinking, Structural Equation Models, Scientific Research, Correlation
Safronova, Tatiana; Chernousova, Natalia; Safronova, Maria – Journal of Educational Psychology - Propositos y Representaciones, 2020
Social and economic transformation in modern society, the sophistication of world financial systems, and, as a result, changes in the hierarchy of human needs, conceptually new interests and requirements of the entire society have determined the relevance of the issue on the formation of financial literacy and financial capability of…
Descriptors: Models, Money Management, Capacity Building, Mathematics Education
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Cetinkaya, Bulent; Kertil, Mahmut; Erbas, Ayhan Kursat; Korkmaz, Himmet; Alacaci, Cengiz; Cakiroglu, Erdinc – Mathematical Thinking and Learning: An International Journal, 2016
Adopting a multitiered design-based research perspective, this study examines pre-service secondary mathematics teachers' developing conceptions about (a) the nature of mathematical modeling in simulations of "real life" problem solving, and (b) pedagogical principles and strategies needed to teach mathematics through modeling. Unlike…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Mathematical Models
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Hu, Mingjia; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…
Descriptors: Classification, Recognition (Psychology), Computation, Models
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Lehrer, Richard; Kim, Min-joung; Schauble, Leona – International Journal of Computers for Mathematical Learning, 2007
New capabilities in "TinkerPlots 2.0" supported the conceptual development of fifth- and sixth-grade students as they pursued several weeks of instruction that emphasized data modeling. The instruction highlighted links between data analysis, chance, and modeling in the context of describing and explaining the distributions of measures that result…
Descriptors: Computer Assisted Instruction, Concept Formation, Statistical Analysis, Statistics
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Fang, N.; Guo, Y. – Journal of Computer Assisted Learning, 2016
Computer simulation and animation (CSA) has been receiving growing attention and wide application in engineering education in recent years. A new interactive CSA module was developed in the present study to improve student learning of particle kinetics in an undergraduate engineering dynamics course. The unique feature of this CSA module is that…
Descriptors: Computer Simulation, Animation, Academic Achievement, Kinetics
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Chance, Beth; Wong, Jimmy; Tintle, Nathan – Journal of Statistics Education, 2016
"Simulation-based inference" (e.g., bootstrapping and randomization tests) has been advocated recently with the goal of improving student understanding of statistical inference, as well as the statistical investigative process as a whole. Preliminary assessment data have been largely positive. This article describes the analysis of the…
Descriptors: Statistical Inference, Simulation, College Mathematics, Statistics
Fry, Elizabeth Brondos – ProQuest LLC, 2017
Recommended learning goals for students in introductory statistics courses include the ability to recognize and explain the key role of randomness in designing studies and in drawing conclusions from those studies involving generalizations to a population or causal claims (GAISE College Report ASA Revision Committee, 2016). The purpose of this…
Descriptors: Introductory Courses, Statistics, Concept Formation, Sampling
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Hati, Sanchita; Bhattacharyya, Sudeep – Biochemistry and Molecular Biology Education, 2016
A project-based biophysical chemistry laboratory course, which is offered to the biochemistry and molecular biology majors in their senior year, is described. In this course, the classroom study of the structure-function of biomolecules is integrated with the discovery-guided laboratory study of these molecules using computer modeling and…
Descriptors: Chemistry, Active Learning, Student Projects, Laboratory Training
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Lundquist, Karl; Herndon, Conner; Harty, Tyson H.; Gumbart, James C. – Biochemistry and Molecular Biology Education, 2016
It is often difficult for students to develop an intuition about molecular processes, which occur in a realm far different from day-to-day life. For example, thermal fluctuations take on hurricane-like proportions at the molecular scale. Students need a way to visualize realistic depictions of molecular processes to appreciate them. To this end,…
Descriptors: High School Students, Classroom Techniques, Molecular Structure, Computer Simulation
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Dickes, Amanda C.; Kamarainen, Amy; Metcalf, Shari J.; Gün-Yildiz, Semiha; Brennan, Karen; Grotzer, Tina; Dede, Chris – British Journal of Educational Technology, 2019
Research in the field of technology-enhanced learning has argued for a broader scope of technology-supported learning environments to include the design of activity systems which position students as active thinkers by reorganizing learning with technology around the practices of scholarly communities. In the context of elementary ecosystems…
Descriptors: Blended Learning, Technology Uses in Education, Computer Simulation, Simulated Environment
Martin, Eli – ProQuest LLC, 2023
As the number of STEM opportunities and the need for a scientifically literate society increases, educators in STEM fields require tools that help support these needs. Chemistry is one STEM content area that would benefit from exploring educational technology that supports conceptual understanding. An action research study was conducted to…
Descriptors: Chemistry, Educational Technology, Concept Formation, Learner Engagement
Basu, Satabdi; Biswas, Gautam; Sengupta, Pratim; Dickes, Amanda; Kinnebrew, John S.; Clark, Douglas – Research and Practice in Technology Enhanced Learning, 2016
Computational thinking (CT) parallels the core practices of science, technology, engineering, and mathematics (STEM) education and is believed to effectively support students' learning of science and math concepts. However, despite the synergies between CT and STEM education, integrating the two to support synergistic learning remains an important…
Descriptors: Science Instruction, STEM Education, Concept Formation, Middle School Students
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Brophy, Sean P.; Magana, Alejandra J.; Strachan, Alejandro – Advances in Engineering Education, 2013
We studied the use of online molecular dynamics simulations (MD) to enhance student abilities to understand the atomic processes governing plastic deformation in materials. The target population included a second-year undergraduate engineering course in the School of Materials Engineering at Purdue University. The objectives of the study were to…
Descriptors: Lecture Method, Undergraduate Study, Inquiry, Laboratories
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Chen, Chen; Schneps, Matthew H.; Sonnert, Gerhard – Journal of Science Education and Technology, 2016
Teachers choosing between different models to facilitate students' understanding of an abstract system must decide whether to adopt a model that is simplified and striking or one that is realistic and complex. Only recently have instructional technologies enabled teachers and learners to change presentations swiftly and to provide for learning…
Descriptors: High School Students, Secondary School Science, Science Education, Models
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