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Beth A. Covitt; Kristin L. Gunckel; Alan Berkowitz; William W. Woessner; John Moore – Journal of Science Education and Technology, 2024
Computational models are employed to study and respond to pressing environmental issues such as groundwater contamination. This use of computational models, which often involves algorithms and uncertainty that are hidden to the public, has implications for environmental science literacy. This study applies a design-based research approach to…
Descriptors: Learning Experience, Computation, Thinking Skills, Models
Grapin, Scott E.; Llosa, Lorena; Haas, Alison; Lee, Okhee – Journal of Science Education and Technology, 2022
Computational models are increasingly being used in K-12 science classrooms to engage students in developing and testing explanations of phenomena. However, research has only begun to consider whether integrating computational models into science instruction could be particularly beneficial to students from diverse backgrounds, including a…
Descriptors: Affordances, Computation, Models, Science Instruction
Vieyra, Rebecca; Himmelsbach, Joshua – Journal of Science Education and Technology, 2022
This study explored teachers' conceptualizations of integrated computational modeling in secondary physics by exposing twelve experienced physics teachers to programming and then analyzing interview responses. Responses revealed that teachers fell along a spectrum of disciplinary boundary-stretching mentalities. This paper presents a preliminary…
Descriptors: Science Teachers, Physics, Teaching Methods, Computation
Bielik, Tom; Fonio, Ehud; Feinerman, Ofer; Duncan, Ravit Golan; Levy, Sharona T. – Journal of Science Education and Technology, 2021
Complex systems are made up of many entities, whose interactions emerge into distinct collective patterns. Computational modeling platforms can provide a powerful means to investigate emergent phenomena in complex systems. Some research has been carried out in recent years about promoting students' modeling practices, specifically using…
Descriptors: Computation, Models, Design, Middle School Students
Lamb, Richard; Hand, Brian; Kavner, Amanda – Journal of Science Education and Technology, 2021
This study is intended to provide an example of computational modeling (CM) experiment using machine learning algorithms. Specific outcomes modeled in this study are the predicted influences associated with the Science Writing Heuristic (SWH) and associated with the completion of question items for the Cornell Critical Thinking Test. The Student…
Descriptors: Models, Computation, Content Area Writing, Science Education
Arik, Merve; Topçu, Mustafa Sami – Journal of Science Education and Technology, 2022
Studies maintain that computational thinking (CT) is associated with science content and scientific processes as well as with many disciplines. It is thought that designing teaching processes in which science and CT processes take place together makes science learning more meaningful. With this in mind, in this study, the researchers integrated…
Descriptors: Computation, Thinking Skills, Science Process Skills, Science Education
Langbeheim, Elon; Perl, David; Yerushalmi, Edit – Journal of Science Education and Technology, 2020
This study focuses on science teachers' first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers' self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics. The learning modules introduce phenomena, the…
Descriptors: Science Teachers, Secondary School Teachers, Teacher Attitudes, Grade 9
Lamb, Richard L. – Journal of Science Education and Technology, 2016
Within the last 10 years, new tools for assisting in the teaching and learning of academic skills and content within the context of science have arisen. These new tools include multiple types of computer software and hardware to include (video) games. The purpose of this study was to examine and compare the effect of computer learning games in the…
Descriptors: Cognitive Processes, Computation, Models, Science Laboratories

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