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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
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
Gardner, Stephanie M.; Suazo-Flores, Elizabeth; Maruca, Susan; Abraham, Joel K.; Karippadath, Anupriya; Meir, Eli – Journal of Science Education and Technology, 2021
Graphing is an important practice for scientists and in K-16 science curricula. Graphs can be constructed using an array of software packages as well as by hand, with pen-and-paper. However, we have an incomplete understanding of how students' graphing practice vary by graphing environment; differences could affect how best to teach and assess…
Descriptors: Biology, Undergraduate Students, Graphs, Educational Technology
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
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
Bachtiar, Rayendra Wahyu; Meulenbroeks, Ralph F. G.; van Joolingen, Wouter R. – Journal of Science Education and Technology, 2021
This article reports on a case study that aims to help students develop mechanistic reasoning through constructing a model based stop-motion animation of a physical phenomenon. Mechanistic reasoning is a valuable thinking strategy for students in trying to make sense of scientific phenomena. Ten ninth-grade students used stop-motion software to…
Descriptors: Secondary School Students, Grade 9, Physics, Science Process Skills
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
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
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
Cromley, Jennifer G.; Du, Yang; Dane, Aygul Parpucu – Journal of Science Education and Technology, 2020
Drawing-to-learn is a specific learning/reading strategy studied across many domains. In response to gaps in our knowledge about drawing-to-learn, we conducted a systematic meta-analysis of the literature published since the influential 2005 Van Meter and Garner literature review. We analyzed the benefits of directed learner-generated visual…
Descriptors: Reading Strategies, Meta Analysis, Visual Aids, Freehand Drawing
Reeves, Shalaunda M.; Crippen, Kent J. – Journal of Science Education and Technology, 2021
Current technology has the capacity for affording a virtual experience that challenges the notion of a teaching laboratory for undergraduate science and engineering students. Though the potential of virtual laboratories (V-Labs) has been extolled and investigated in a number of areas, this research has not been synthesized for the context of…
Descriptors: Science Instruction, College Science, Undergraduate Study, Engineering Education
Gil, Pablo – Journal of Science Education and Technology, 2017
University courses concerning Computer Vision and Image Processing are generally taught using a traditional methodology that is focused on the teacher rather than on the students. This approach is consequently not effective when teachers seek to attain cognitive objectives involving their students' critical thinking. This manuscript covers the…
Descriptors: Student Projects, Active Learning, Programming Languages, Video Technology
Schleisman, Katrina B.; Selcen Guzey, S.; Lie, Richard; Michlin, Michael; Desjardins, Christopher; Shackleton, Hazel S.; Schwerdfeger, August C.; Michalowski, Martin; Dubinsky, Janet M. – Journal of Science Education and Technology, 2018
Mobile applications (apps) for learning technical scientific content are becoming increasingly popular in educational settings. Neuroscience is often considered complex and challenging for most students to understand conceptually. "iNeuron" is a recently developed iOS app that teaches basic neuroscience in the context of a series of…
Descriptors: Neurosciences, Active Learning, Teaching Methods, Computer Software
LaDue, Nicole D.; Shipley, Thomas F. – Journal of Science Education and Technology, 2018
Geoscience instructors depend upon photos, diagrams, and other visualizations to depict geologic structures and processes that occur over a wide range of temporal and spatial scales. This proof-of-concept study tests click-on-diagram (COD) questions, administered using a classroom response system (CRS), as a research tool for identifying spatial…
Descriptors: Audience Response Systems, Visual Aids, Earth Science, Spatial Ability
Malone, Kathy L.; Schunn, Christian D.; Schuchardt, Anita M. – Journal of Science Education and Technology, 2018
The National Research Council framework for science education and the Next Generation Science Standards have developed a need for additional research and development of curricula that is both technologically model-based and includes engineering practices. This is especially the case for biology education. This paper describes a quasi-experimental…
Descriptors: Concept Formation, Introductory Courses, Biology, Computer Software