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Showing 1 to 15 of 65 results Save | Export
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
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W. Paige Hall; Kevin Cantrell – Journal of Chemical Education, 2024
Human-driven carbon emissions have resulted in increased levels of dissolved carbon dioxide in the Earth's oceans. This dissolved carbon dioxide reacts with water to form carbonic acid, which impacts ocean acidity as well as the solubility of carbonate-containing compounds, with far-reaching impacts on marine ecosystems and the human communities…
Descriptors: Programming Languages, Computer Science Education, Chemistry, Marine Biology
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Tolga Kurt; Burcu Anilan – Shanlax International Journal of Education, 2024
This study aims to determine the opinions of science teachers on robotics coding, which is one of the prominent applications in recent times and is expected to be integrated into education. The research was designed as a case study, one of the qualitative research methods. The study group of the research consists of 12 science teachers.…
Descriptors: Robotics, Science Teachers, Science Instruction, Usability
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W. Brian Lane; Terrie M. Galanti; X. L. Rozas – Journal for STEM Education Research, 2023
Integrating computational thinking (CT) into STEM disciplines requires secondary teachers to develop their pedagogical content knowledge of computing and content integration. Experienced teachers who choose to integrate CT in their secondary STEM courses may struggle in the same ways as novice teachers as they learn about programming and its…
Descriptors: Physics, Teaching Methods, Grounded Theory, Capacity Building
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Amanda Peel; Sugat Dabholkar; Gabriella Anton; Mike Horn; Uri Wilensky – Computer Science Education, 2024
Background and Context: To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings. Objective: Our team worked…
Descriptors: Biology, Computer Science Education, Science Instruction, Thinking Skills
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Anna Donhauser; Philipp Bitzenbauer; Linda Qerimi; Stefan Heusler; Stefan Küchemann; Jochen Kuhn; Malte S. Ubben – Physical Review Physics Education Research, 2024
The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Comparative Analysis
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Bush, Eliot C.; Adolph, Stephen C.; Donaldson-Matasci, Matina C.; Hur, Jae; Schulz, Danae – Journal of College Science Teaching, 2021
This paper describes an introductory biology course for undergraduates that heavily incorporates quantitative problem solving in activities and homework assignments. The course is broken up into a series of units, each organized around a motivating biological question or theme. Homework assignments address the theme or question, and typically…
Descriptors: Biology, Science Instruction, Teaching Methods, Problem Solving
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Phillips, A. M.; Gouvea, E. J.; Gravel, B. E.; Beachemin, P. -H.; Atherton, T. J. – Physical Review Physics Education Research, 2023
Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…
Descriptors: Physics, Science Instruction, Teaching Methods, Models
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Allbee, Quinn; Barber, Robert – Biochemistry and Molecular Biology Education, 2021
Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…
Descriptors: Genetics, Science Instruction, Programming Languages, Biology
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Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
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Christopher Lore; Hee-Sun Lee; Amy Pallant; Charles Connor; Jie Chao – International Journal of Science and Mathematics Education, 2024
As computational methods are widely used in science disciplines, integrating computational thinking (CT) into classroom materials can create authentic science learning experiences for students. In this study, we classroom-tested a CT-integrated geoscience curriculum module designed for secondary students. The module consisted of three inquiry…
Descriptors: Risk, Science Instruction, Physical Geography, Natural Disasters
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Marckwordt, Jasmine; Muller, Alexandria; Harlow, Danielle; Franklin, Diana; Landsberg, Randall H. – Physics Teacher, 2021
Quantum computers are at the forefront of computing; however, few people understand how they work and their capabilities. We present two versions of an interactive activity designed for high school students (ages 13 to 18) that introduce a core quantum concept--"entanglement." The first version illustrates a simple connection between two…
Descriptors: Physics, Science Instruction, High School Students, Teaching Methods
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Garcia, Victor; Conesa, Jordi; Perez-Navarro, Antoni – Journal of Science Education and Technology, 2022
Videos created with the hands of teachers filmed have been perceived as useful educational resource for students of Physics in undergraduate courses. In previous works, we analyzed the students' perception about educational videos by asking them about their experiences. In this work, we analyze the same facts, but from a learning analytics…
Descriptors: Physics, Science Instruction, Teaching Methods, Video Technology
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Hughes, Ciaran; Isaacson, Joshua; Turner, Jessica; Perry, Anastasia; Sun, Ranbel – Physics Teacher, 2022
Quantum computing is a growing field at the intersection of physics and computer science. The goal of this article is to highlight a successfully trialled quantum computing course for high school students between the ages of 15 and 18 years old. This course was designed to bridge the gap between popular science articles and advanced undergraduate…
Descriptors: Teaching Methods, Physics, Science Instruction, Quantum Mechanics
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Nita, Laurentiu; Mazzoli Smith, Laura; Chancellor, Nicholas; Cramman, Helen – Research in Science & Technological Education, 2023
Background: Knowledge of quantum computing is arguably inaccessible to many, with knowledge of the complex mathematics involving a particular barrier to entry, creating difficulty in terms of teaching and inclusive learning for those without a high level of mathematics. Meanwhile, it is increasingly important that the knowledge of quantum…
Descriptors: Quantum Mechanics, Physics, Science Instruction, Interdisciplinary Approach
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