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Metcalf, Shari J.; Reilly, Joseph M.; Jeon, Soobin; Wang, Annie; Pyers, Allyson; Brennan, Karen; Dede, Chris – Computer Science Education, 2021
Background and Context: This study looks at computational thinking (CT) assessment of programming artifacts within the context of CT integrated with science education through computational modeling. Objective: The goal is to explore methodologies for assessment of student-constructed computational models through two lenses: functionality and…
Descriptors: Evaluation Methods, Computation, Thinking Skills, Science Education
Sergio Trilles; Aida Monfort-Muriach; Enrique Cueto-Rubio; Carmen Lopez-Girona; Carlos Granell – IEEE Transactions on Education, 2024
This article discusses the latest developments of the Sucre4Stem tool, as part of the Sucre initiative, which aims to promote interest in computational thinking and programming skills in K-12 students. The tool follows the Internet of Things approach and consists of two prominent components: 1) SucreCore and 2) SucreCode. SucreCore incorporates an…
Descriptors: Elementary Secondary Education, Thinking Skills, Problem Solving, Computation
G. Puttick; M. Cassidy; E. Tucker-Raymond; G. M. Troiano; C. Harteveld – Journal of Research in Science Teaching, 2024
Much research attention has been focused on learning through game playing. However, very little has been focused on student learning through game making, especially in science. Moreover, none of the studies on learning through making games has presented an account of how students engage in the process of game design in real time. The present study…
Descriptors: Design, Computer Games, Peer Teaching, Science Education
Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Peel, Amanda; Sadler, Troy D.; Friedrichsen, Patricia – Journal of Science Education and Technology, 2022
Computing has become essential in modern-day problem-solving, making computational literacy necessary for practicing scientists and engineers. However, K-12 science education has not reflected this computational shift. Integrating computational thinking (CT) into core science courses is an avenue that can build computational literacies in all…
Descriptors: Computation, Thinking Skills, Problem Solving, Science Education
Koray, Abdullah; Bilgin, Eda – Science Insights Education Frontiers, 2023
This study was carried out to determine the effect of Scratch-based coding applications integrated into the 5E learning model used in science teaching on students' computational thinking skills and self-efficacy towards block-based programming. In addition, students' perceptions of the activity were measured after each Scratch activity, which was…
Descriptors: Programming, Learning Activities, Integrated Activities, Computation
Sáez-López, José-Manuel; Sevillano-García, Maria-Luisa; Vazquez-Cano, Esteban – Educational Technology Research and Development, 2019
This study highlights the importance of an educational design that includes robotics and programming through a visual programming language as a means to enable students to improve substantially their understanding of the elements of logic and mathematics. Gaining an understanding of computational concepts as well as a high degree of student…
Descriptors: Elementary School Students, Programming, Programming Languages, Robotics
Gianmarc Grazioli; Adam Ingwerson; David Santiago Jr.; Patrick Regan; Heekun Cho – Journal of Chemical Education, 2023
Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…
Descriptors: Computation, Chemistry, Teaching Methods, Science Education
Thrall, Elizabeth S.; Lee, Seung Eun; Schrier, Joshua; Zhao, Yijun – Journal of Chemical Education, 2021
Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Science Education
Angeli, Charoula M.; Jaipal-Jamani, Kamini – AERA Online Paper Repository, 2017
In an era where computational thinking is regarded as a basic skill for the 21st century that needs to be taught across the K-12 curriculum, research shows that teacher education programs do not adequately prepare preservice teachers to promote computational thinking skills in classroom teaching. Accordingly, the present study contributes to the…
Descriptors: Scaffolding (Teaching Technique), Programming, Robotics, Preservice Teachers
Kaya, Erdogan; Newley, Anna; Yesilyurt, Ezgi; Deniz, Hasan – Journal of College Science Teaching, 2020
With the release of the Next Generation Science Standards (NGSS), assessing K-12 science teachers' self-efficacy in Computational Thinking (CT) is an important research gap to study. Bandura defines self-efficacy as awareness of the individual's potential and capabilities to accomplish a goal. Teaching efficacy beliefs is a significant identifier…
Descriptors: Thinking Skills, Computation, Self Efficacy, Preservice Teachers
Lunk, Brandon Robert – ProQuest LLC, 2012
With the growing push to include computational modeling in the physics classroom, we are faced with the need to better understand students' computational modeling practices. While existing research on programming comprehension explores how novices and experts generate programming algorithms, little of this discusses how domain content…
Descriptors: Physics, Science Education, Computation, Models