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Sadra Jafari Ghalehkohneh; Jared Arnell; Kaden Hart; Hillary Swanson; Boyd Edwards; John Edwards – Physical Review Physics Education Research, 2025
Digital simulations are powerful instructional tools for physics education. They are often designed to visualize canonical physical phenomena, with adjustable parameters for influencing the system. While this is sufficient for developing conceptual and qualitative intuitions, it does little to help physics students build connections between…
Descriptors: Physics, Computer Simulation, Science Education, Equations (Mathematics)
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Rahmat Rizal; Irwan Muhammad Ridwan; Herni Yuniarti Suhendi; Ifa Rifatul Mahmudah – Journal of Teaching and Learning, 2025
Virtual Reality (VR) technology in learning activities assists in visualizing abstract phenomena of physics concepts. This technology supports the delivery of effective and meaningful learning experiences. The main objectives of this study, therefore, are to analyze the level of students' readiness to use VR technology in higher education, and to…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Physics
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Mukarramah Mustari; Hartono; Sunyoto Eko Nugroho; Sugianto – Journal of Educators Online, 2025
This paper explores the development and evaluation of a MOOCs-based virtual physics measurement laboratory module designed to overcome common barriers in physics education, such as limited physical lab access, high costs, and safety concerns. Utilizing the Borg and Gall Research and Development model, this module integrates structured layouts,…
Descriptors: Physics, MOOCs, Science Education, Computer Simulation
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Seuth Borliboune; Kongmengvang Chuechor; Thonglith Vilaysane; Souliya Keovilaysack – Malaysian Online Journal of Educational Sciences, 2025
This study investigates the influence of computer-based simulations on students' academic achievement and attitudes toward learning Direct Current (DC) circuits in physics. A quasi-experimental design was employed, involving 40 secondary school students divided into an experimental group (20 students) and a control group (20 students). The…
Descriptors: Computer Simulation, Physics, Electronic Equipment, Academic Achievement
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Fauziah Rasyid; Jumadi Jumadi; Proki Karandja Hawur – Journal of Science Learning, 2025
This study aims to explore the literature on learning interventions that can enhance students' multiple representation skills and identify indicators for assessing multiple representation abilities in physics education. Following the PRISMA procedure, the research is a systematic literature review using qualitative content analysis techniques. The…
Descriptors: Physics, Science Instruction, Science Process Skills, Intervention
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Panagiota Chatzidaki; Urban Eriksson; Sarah Zoechling; Sascha Schmeling; Tobias Fredlund – Physical Review Physics Education Research, 2025
Following the global COVID-19 pandemic, digital learning environments have gained in importance in education all around the world. A new digital learning format called a "Digital Learning Module" (DLM) was developed within the Physics Education Research (PER) group at CERN, consisting of a series of prerecorded explanatory and experiment…
Descriptors: Physics, Science Instruction, Scientific Research, Educational Research
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Delfi Eliza; Trisna Mulyeni; Yulsyofriend; Nenny Mahyuddin; Yeni Erita; Muhammad Dhanil – Journal of Baltic Science Education, 2025
Improving scientific literacy is crucial for early childhood development, yet limited studies necessitate a thorough analysis to identify effective solutions. This study aims to analyze the implementation of project-based learning in early childhood education to improve scientific literacy. The study followed the identification, screening,…
Descriptors: Scientific Literacy, Early Childhood Education, Active Learning, Student Projects
Xiaoming Zhai, Editor; Joseph Krajcik, Editor – Oxford University Press, 2025
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…
Descriptors: Artificial Intelligence, STEM Education, Technology Uses in Education, Educational Technology