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Sumardani, Dadan; Sipayung, Elly Ramadhani; Chiu, Po-Sheng – Innovations in Education and Teaching International, 2023
The crystal structure is an important topic in the STEM field and the basic knowledge to determine the material structure and its behaviour. There is a wealth of literature on three-dimensional (3D) and augmented reality (AR) technology to represent 3D crystal environments to provide a new way of visualisation and to foster spatial skills. This…
Descriptors: Spatial Ability, Thinking Skills, Computer Simulation, Physical Sciences
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Alstein, Paul; Krijtenburg-Lewerissa, Kim; van Joolingen, Wouter R. – Journal of Science Education and Technology, 2023
This article describes the design and evaluation of a simulation environment for special relativity (SR) education at the secondary level. In recent years, SR has become increasingly popular in secondary school curricula worldwide. Because the key concepts in SR are very remote from everyday experience, they are difficult for students to learn.…
Descriptors: Science Education, Secondary School Science, Scientific Concepts, Concept Formation
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Oladejo, Adekunle I.; Nwaboku, Nwabuno C.; Okebukola, Peter A.; Ademola, Ibukunolu A. – Research in Science & Technological Education, 2023
Background: Science educators around the world have recognised that difference in performance exists between male and female students in chemistry and there have been several efforts and interventions through research and workshops to bridge this gap. Purpose: Owing to the current growth of the effects of the use of computer simulations on…
Descriptors: Gender Differences, Science Education, Science Achievement, Chemistry
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Grapin, Scott E.; Haas, Alison; Llosa, Lorena; Wendel, Daniel; Pierson, Ashlyn; Lee, Okhee – Journal of Research in Science Teaching, 2023
The Next Generation Science Standards (NGSS) have spurred renewed interest in the epistemologies that students adopt as they engage in science practices. One framework for characterizing students' epistemologies is the "epistemologies in practice" framework (Berland et al. (2016), "Journal of Research in Science Teaching,"…
Descriptors: Science Education, Educational Technology, Computer Simulation, Student Diversity
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Lexi Elara; Kathryn S. McCarthy – Grantee Submission, 2023
Virtual experiments offer opportunities for students to engage in the scientific process and observe scientific phenomena. However, virtual experiments are not always effective for learning. The current study examined how two small manipulations might support better learning from virtual experiments and the extent to which this varied across…
Descriptors: Science Education, Science Process Skills, Science Experiments, Computer Simulation
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Grant Cooper; Li Ping Thong; Kok-Sing Tang – Educational Media International, 2024
Immersive virtual reality (IVR) offers significant transformative potential for science education by supporting learning experiences that deeply engage students and improve their understanding of scientific concepts. Despite considerable interest, research on the use of IVR in science education is still in its formative stage. Currently, there is…
Descriptors: Science Education, Computer Simulation, Learning Experience, Learner Engagement
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Fajar Kurnianto; Anggi Datiatur Rahmat; Heru Kuswanto – Pegem Journal of Education and Instruction, 2024
Learning activities related to students' real-life experiences may create meaningful learning. Integrating traditional games into the physics classroom can reconstruct local knowledge into scientific knowledge. The use of technology can affect student learning achievement. One of the technologies currently attracting attention is Augmented reality…
Descriptors: Computer Simulation, Educational Technology, Critical Thinking, Graphs
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Zipeng Qi; Lei Xu; Yun Chen; Shuanglian Cai – Journal of Chemical Education, 2024
This study revamps and optimizes the teaching and learning process and instrument for the classic binary vapor-liquid equilibrium experiment by combining activity coefficient model simulations and practical exercises. Our teaching process combines a software simulation and practical exercises. Utilizing Aspen software, students can predict phase…
Descriptors: Learning Processes, Instruction, Instructional Improvement, Educational Improvement
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Craig, Paul A. – Biochemistry and Molecular Biology Education, 2020
Biochemistry is about structure and function, but it is also about data and this is where computers come in. From my time as a graduate student and post doc, whenever I encountered data I thought, "I can work this up by hand, but I think a computer could do a better job." Since that time, I have been working at the interface of…
Descriptors: Biochemistry, Science Education, Computation, Computer Simulation
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Ho, Simon; Liu, Pu; Palombo, Daniela J.; Handy, Todd C.; Krebs, Claudia – Anatomical Sciences Education, 2022
The use of mixed reality in science education has been increasing and as such it has become more important to understand how information is learned in these virtual environments. Spatial ability is important in many learning contexts, but especially in neuroanatomy education where learning the locations and spatial relationships between brain…
Descriptors: Spatial Ability, Brain Hemisphere Functions, Anatomy, Science Education
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Durkaya, Figen – Hungarian Educational Research Journal, 2023
In science class, students learn by making and living information, enabling them to make sense of knowledge effectively and permanently and to associate it with daily life. Applied science courses make learning more qualified. While science teaching is carried out in application areas such as laboratories, virtual laboratories are used with the…
Descriptors: Computer Simulation, Science Laboratories, Laboratory Training, Science Education
Maria Carmen R. Lagalante – ProQuest LLC, 2023
Cognitive load is the effort needed to process and store information in memory and can be measured via subjective, physiological, and performance methods. Virtual reality learning environments (VRLEs) enhance science aptitude and motivate students to pursue science careers. Cognitive load is divided into three types: intrinsic, extraneous, and…
Descriptors: High School Students, Science Education, Difficulty Level, Cognitive Processes
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Tammy D. Lee; Carrie Lee; Mark Newton; Paul Vos; Jennifer Gallagher; Daniel Dickerson; Camryn Regenthal – Journal of Science Teacher Education, 2024
Learning science is a social enterprise that involves students communicating ideas, observations, and findings. Navigating talk between students about scientific concepts and practices is a complex task for teachers. Traditionally, science educators have used a method called microteaching (teaching to peers) as a context for practicing teaching.…
Descriptors: Microteaching, Computer Simulation, Preservice Teachers, Computer Software
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Yanying Chen; Yaoxin Tan; Yuhui Wang – Interactive Learning Environments, 2024
We designed a microbial science popularization product based on virtual reality technology, "Micro World -- Exploring the Microbial Kingdom," and conducted usability tests. Participants used head-mounted VR glasses to experience virtual scenarios teaching microbiological knowledge. The product's user experience was evaluated through a…
Descriptors: Computer Simulation, Science Education, Microbiology, Computer Peripherals
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Dorji Tenzin; Karma Utha; Kinley Seden – Research in Science & Technological Education, 2024
Background: Electric circuit concepts in physics are abstract in nature and students find it difficult to comprehend. Purpose: This study was designed to compare the impact of three different strategies: simulation, hands-on and a combined strategy in enhancing conceptual understanding on electric circuit for class X students. Design: A mixed…
Descriptors: Science Education, Computer Simulation, Hands on Science, Electronic Equipment
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