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Wolf, Mark E.; Norris, J. Widener; Fynewever, Herb; Turney, Justin M.; Schaefer, Henry F., III – Journal of Chemical Education, 2022
Over the past half century, computational chemistry has evolved from a niche field to a ubiquitous pillar of modern chemical research. Driven by the increased demand for computational chemistry in research settings, the undergraduate curriculum has evolved alongside to ensure that students are well-equipped for modern research. Toward this end,…
Descriptors: Science Instruction, Science Laboratories, Chemistry, Computer Simulation
Clark, Caron A. C.; Helikar, Tomáš; Dauer, Joseph – CBE - Life Sciences Education, 2020
The creation and analysis of models is integral to all scientific disciplines, and modeling is considered a core competency in undergraduate biology education. There remains a gap in understanding how modeling activities may support changes in students' neural representations. The aim of this study was to evaluate the effects of simulating a model…
Descriptors: Computer Simulation, Brain Hemisphere Functions, Undergraduate Students, Biology
Magana, Alejandra J.; Balachandran, Sadhana – Journal of Science Education and Technology, 2017
Electromagnetism is an umbrella encapsulating several different concepts like electric current, electric fields and forces, and magnetic fields and forces, among other topics. However, a number of studies in the past have highlighted the poor conceptual understanding of electromagnetism concepts by students even after instruction. This study aims…
Descriptors: Undergraduate Students, Hands on Science, Magnets, Scientific Concepts
Nichols, Kim; Ranasinghe, Muditha; Hanan, Jim – Instructional Science: An International Journal of the Learning Sciences, 2013
Interacting with and translating across multiple representations is an essential characteristic of expertise and representational fluency. In this study, we explored the effect of interacting with and translating between representations in a computer simulation or in a paper-based assignment on scientific accuracy of undergraduate science…
Descriptors: Undergraduate Students, Science Instruction, Computer Simulation, Assignments
Richmond, Gail; Parker, Joyce M.; Kaldaras, Leonora – Journal of Science Teacher Education, 2016
The Next-Generation Science Standards (NGSS) call for a different approach to learning science. They promote three-dimensional (3D) learning that blends disciplinary core ideas, crosscutting concepts and scientific practices. In this study, we examined explanations constructed by secondary science teacher candidates (TCs) as a scientific practice…
Descriptors: Preservice Teachers, Science Teachers, Student Teacher Attitudes, Science Instruction
Muñoz, Karla; Noguez, Julieta; Neri, Luis; Mc Kevitt, Paul; Lunney, Tom – Educational Technology & Society, 2016
Game-based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining 1 and 2. These have proven…
Descriptors: Educational Games, Psychological Patterns, Models, Academic Achievement
Stull, Andrew T.; Hegarty, Mary – Journal of Educational Psychology, 2016
This study investigated the development of representational competence among organic chemistry students by using 3D (concrete and virtual) models as aids for teaching students to translate between multiple 2D diagrams. In 2 experiments, students translated between different diagrams of molecules and received verbal feedback in 1 of the following 3…
Descriptors: Models, Organic Chemistry, Science Instruction, Skill Development