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Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles
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Mihret, Zemenu; Alemu, Mekbib; Assefa, Shimeles – Pedagogical Research, 2023
The objective of this study was to examine the effectiveness of blended physics laboratory experimentation on pre-service physics teachers' (PSPTs') understanding of the nature of science (NOS) during an electricity and magnetism laboratory course. The study used a non-equivalent comparison group using a pre-test-post-test quasi-experimental…
Descriptors: Science Instruction, Physics, Science Laboratories, Laboratory Experiments
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Peffer, Melanie E.; Ramezani, Niloofar – International Journal of STEM Education, 2019
Background: Achieving science literacy requires learning disciplinary knowledge, science practices, and development of sophisticated epistemological beliefs about the nature of science and science knowledge. Although sophisticated epistemological beliefs about science are important for attaining science literacy, students' beliefs are difficult to…
Descriptors: Epistemology, Beliefs, Student Attitudes, Science Instruction
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Holly, Michael; Pirker, Johanna; Resch, Sebastian; Brettschuh, Sandra; Gütl, Christian – Educational Technology & Society, 2021
Skills in science, technology, engineering, and mathematics (STEM) are increasingly in demand. Theoretical knowledge and formulas alone are frequently not sufficient to understand complex phenomena. Simulations are a valuable tool to support the conceptual understanding by visualizing invisible processes. The constant interaction with the learning…
Descriptors: Instructional Design, STEM Education, Computer Simulation, Visualization
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Peffer, Melanie E.; Ramezani, Niloofar; Quigley, David; Royse, Emily; Bruce, Chloe – CBE - Life Sciences Education, 2020
Epistemological beliefs about science (EBAS) or beliefs about the nature of science knowledge, and how that knowledge is generated during inquiry, are an essential yet difficult to assess component of science literacy. Leveraging learning analytics to capture and analyze student practices in simulated or game-based authentic science activities is…
Descriptors: Learning Analytics, Beliefs, Scientific Principles, Inquiry
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Sweet, Chelsea; Akinfenwa, Oyewumi; Foley, Jonathan J., IV – Journal of Chemical Education, 2018
We present an interactive discovery-based approach to studying the properties of real gases using simple, yet realistic, molecular dynamics software. Use of this approach opens up a variety of opportunities for students to interact with the behaviors and underlying theories of real gases. Students can visualize gas behavior under a variety of…
Descriptors: Discovery Learning, Molecular Structure, Courseware, Kinetics
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Meyburg, Jan Philipp; Diesing, Detlef – Journal of Chemical Education, 2017
This article describes the implementation and application of a metal deposition and surface diffusion Monte Carlo simulation in a physical chemistry lab course. Here the self-diffusion of Ag atoms on a Ag(111) surface is modeled and compared to published experimental results. Both the thin-film homoepitaxial growth during adatom deposition onto a…
Descriptors: Monte Carlo Methods, Computer Simulation, Chemistry, Laboratory Experiments
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Mutch-Jones, Karen; Gasca, Santiago; Pallant, Amy; Lee, Hee-Sun – School Science and Mathematics, 2018
The purpose of this descriptive study was to examine teacher instructional dilemmas and opportunities that emerged when students worked with interactive computer-based simulation models during the High-Adventure Science (HAS) project. The intervention included the HAS digital curriculum, designed for grades 7-12. Each curricular unit was framed to…
Descriptors: Computer Simulation, Teaching Models, Instructional Effectiveness, Educational Opportunities
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Yoon, Susan; Anderson, Emma; Lin, Joyce; Elinich, Karen – Educational Technology & Society, 2017
Research on learning about science has revealed that students often hold robust misconceptions about a number of scientific ideas. Digital simulation and dynamic visualization tools have helped to ameliorate these learning challenges by providing scaffolding to understand various aspects of the phenomenon. In this study we hypothesize that…
Descriptors: Computer Simulation, Scientific Concepts, Concept Formation, Visualization
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Ibáñez, María-Blanca; Di-Serio, Ángela; Villarán-Molina, Diego; Delgado-Kloos, Carlos – IEEE Transactions on Education, 2015
This paper reports empirical evidence on having students use AR-SaBEr, a simulation tool based on augmented reality (AR), to discover the basic principles of electricity through a series of experiments. AR-SaBEr was enhanced with knowledge-based support and inquiry-based scaffolding mechanisms, which proved useful for discovery learning in…
Descriptors: Simulated Environment, Computer Simulation, Energy, Science Experiments
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Buck, Zoë E.; Lee, Hee-Sun; Flores, Joanna – International Journal of Science Education, 2014
We investigated how students articulate uncertainty when they are engaged in structured scientific argumentation tasks where they generate, examine, and interpret data to determine the existence of exoplanets. In this study, 302 high school students completed 4 structured scientific arguments that followed a series of computer-model-based…
Descriptors: Ambiguity (Context), Persuasive Discourse, Scientific Concepts, Scientific Literacy
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Kozhevnikov, Michael; Gurlitt, Johannes; Kozhevnikov, Maria – Journal of Science Education and Technology, 2013
The focus of the current study is to understand which unique features of an immersive virtual reality environment have the potential to improve learning relative motion concepts. Thirty-seven undergraduate students learned relative motion concepts using computer simulation either in immersive virtual environment (IVE) or non-immersive desktop…
Descriptors: Motion, Scientific Concepts, Concept Teaching, Virtual Classrooms
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Garriz, Abel E.; Sztrajman, Alejandro; Mitnik, Dario – European Journal of Physics, 2010
The propagation in time of a wavepacket is a conceptually rich problem suitable to be studied in any introductory quantum mechanics course. This subject is covered analytically in most of the standard textbooks. Computer simulations have become a widespread pedagogical tool, easily implemented in computer labs and in classroom demonstrations.…
Descriptors: Textbooks, Quantum Mechanics, Science Instruction, Introductory Courses
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Benacka, Jan – Informatics in Education, 2013
The article presents a method of explaining the principles of 3D graphics through making a revolvable and sizable orthographic parallel projection of cuboid in Excel. No programming is used. The method was tried in fourteen 90 minute lessons with 181 participants, which were Informatics teachers, undergraduates of Applied Informatics and gymnasium…
Descriptors: Computer Software, Computer Graphics, Scientific Principles, Teaching Methods
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Quellmalz, Edys S.; Davenport, Jodi L.; Timms, Michael J.; DeBoer, George E.; Jordan, Kevin A.; Huang, Chun-Wei; Buckley, Barbara C. – Journal of Educational Psychology, 2013
How can assessments measure complex science learning? Although traditional, multiple-choice items can effectively measure declarative knowledge such as scientific facts or definitions, they are considered less well suited for providing evidence of science inquiry practices such as making observations or designing and conducting investigations.…
Descriptors: Science Education, Educational Assessment, Psychometrics, Science Tests
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