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Hanxiang Du; Gaoxia Zhu; Wanli Xing; Charles Xie – Journal of Science Education and Technology, 2025
Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking…
Descriptors: Engineering, Design, Scientific Concepts, Problem Solving
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Yael Feldman-Maggor; Ron Blonder; Giora Alexandron – Journal of Science Education and Technology, 2025
Artificial intelligence (AI) has made remarkable strides in recent years, finding applications in various fields, including chemistry research and industry. Its integration into chemistry education has gained attention more recently, particularly with the advent of generative AI (GAI) tools. However, there is a need to understand how teachers'…
Descriptors: Chemistry, Science Instruction, Technological Literacy, Pedagogical Content Knowledge
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Raquel Coelho; Anne E. Bjune; Ståle Ellingsen; Belinda Munoz Solheim; Ruben Thormodsaeter; Barbara Wasson; Sehoya Cotner – Journal of Science Education and Technology, 2025
Questions around the use and regulation of Generative AI (GenAI) in educational contexts are widespread among both students and educators; an important step toward addressing these questions is to gain a full and nuanced understanding of the perspectives at play. To that end, this study surveyed 742 biology students across nine higher education…
Descriptors: Biology, Science Instruction, Artificial Intelligence, Student Surveys
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Ha Nguyen; Jake Hayward – Journal of Science Education and Technology, 2025
High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…
Descriptors: Science Tests, Criticism, Artificial Intelligence, Technology Uses in Education
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Andic, Branko; Ulbrich, Eva; Dana-Picard, Thierry; Cvjeticanin, Stanko; Petrovic, Filip; Lavicza, Zsolt; Maricic, Mirjana – Journal of Science Education and Technology, 2023
There is a large amount of research that indicates that the use of 3DMP in STEM education improves students' knowledge, motivation, and participation in the learning process. Nevertheless, despite the existing attempts to market 3DMP in education, its adoption in schools remains low. A number of studies with teachers in secondary schools and…
Descriptors: STEM Education, Teacher Attitudes, Teaching Methods, Technology Uses in Education
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Bowers, Jonathan; Eidin, Emanuel; Stephens, Lynn; Brennan, Linsey – Journal of Science Education and Technology, 2023
Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…
Descriptors: Computer Science Education, Systems Approach, Thinking Skills, Science Education
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Weng, Xiaojing; Cui, Zhihao; Ng, Oi-Lam; Jong, Morris S. Y.; Chiu, Thomas K. F. – Journal of Science Education and Technology, 2022
Amid the maker movement, educators are proposing various making activities with programmable artifacts to prepare students for coping with the challenges in the twenty-first century. Today, the "4C" skills--critical thinking, creativity, communication, and collaboration--are regarded as significant learning outcomes in Science,…
Descriptors: Cooperative Learning, Problem Based Learning, Experiential Learning, Problem Solving
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Thompson, Katerina V.; Nelson, Kären C.; Sniezek, James; Marbach-Ad, Gili – Journal of Science Education and Technology, 2023
Introductory courses in biology often lack sufficient emphasis on quantitative skills and interdisciplinary problem solving, leaving many students unprepared for more advanced biology coursework and hampering their ability to pursue biology research careers. MathBench Biology Modules were created to enhance the quantitative skills of biology…
Descriptors: Online Courses, Science Instruction, Teaching Methods, Interdisciplinary Approach