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Showing 1 to 15 of 21 results Save | Export
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Mohd Zaidi Amiruddin; Achmad Samsudin; Andi Suhandi; Bayram Costu – Journal of Education and Learning (EduLearn), 2025
Difficulties in understanding physics concepts are often experienced by students such as in the material of regular uniform motion. This study aims to describe the mental models of first-year secondary school students on regular straight-line motion. This research utilized a case study method of 167 students at the secondary level with an average…
Descriptors: High School Students, Physics, Scientific Concepts, Schemata (Cognition)
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Jack Thomas-Colwell; Ramya S. Pathuri; Aaron H. Shoemaker; Michael G. Hill; Bryan M. Hunter – Journal of Chemical Education, 2025
The study of coordination complexes in general and inorganic chemistry courses is facilitated by theoretical frameworks such as crystal field theory (CFT) and ligand field theory (LFT). The angular overlap model (AOM) is alternative approach that quantifies metal-ligand interactions based on the geometric configuration of a given complex. In this…
Descriptors: Computer Oriented Programs, Organic Chemistry, Inorganic Chemistry, Scientific Concepts
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Luvia R. Nastiti; Widha Sunarno; Sukarmin Sukarmin; Sulistyo Saputro; Luqman Baehaqi – Journal of Baltic Science Education, 2024
The intricacy of real-world challenges in project-based geoscience learning is complex to assess with a STEM approach; hence, research into an effective model is necessary to address current issues in education. Understanding the role of STEM in resolving challenging real-world issues requires integrating STEM literacy that is appropriate for…
Descriptors: STEM Education, Multiple Literacies, Active Learning, Student Projects
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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
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Tamar Fuhrmann; Leah Rosenbaum; Aditi Wagh; Adelmo Eloy; Jacob Wolf; Paulo Blikstein; Michelle Wilkerson – Science Education, 2025
When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…
Descriptors: Mechanics (Physics), Thinking Skills, Scientific Concepts, Concept Formation
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Giacomo Zuccarini; Massimiliano Malgieri – Science & Education, 2024
Most educational literature on conceptual change concerns the process by which introductory students acquire scientific knowledge. However, with modern developments in science and technology, the social significance of learning successive theories is steadily increasing, thus opening new areas of interest to discipline-based education research,…
Descriptors: Models, Concept Formation, Theories, Educational Research
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Muhammad Nasir; Annur Indra Kusumadani – International Journal of Education in Mathematics, Science and Technology, 2024
This study aims to develop a structured scaffolding-guided inquiry (SSGI) learning model that is oriented toward nurturing argumentation skills to solve complex problems. Test the effectiveness of the SSGI model in improving students' argumentation skills to solve complex problems. This research is development research that refers to Dick and…
Descriptors: Persuasive Discourse, Skill Development, Problem Solving, Scaffolding (Teaching Technique)
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Xiaoming Zhai; Yue Yin – International Journal of Science Education, 2024
Learning progressions (LPs) are considered to have great potential to improve pedagogical practices. However, even with LPs, teachers may still be unaware of the barriers that keep students from progressing; many are struggling with essential pedagogical strategies to support students' progression. This study thus proposed an educative LP (ELP), a…
Descriptors: Science Teachers, Beginning Teachers, Learning Trajectories, Lesson Plans
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Fatni Mufit; Yeka Hendriyani; Muhammad Dhanil – Journal of Turkish Science Education, 2024
This research aims to design immersive virtual reality with cognitive conflict to support practical learning of quantum physics. This type of research is design research through the stages of needs analysis, product design, validity test, and practicality test. The needs analysis used questionnaire sheets distributed with Google Forms and obtained…
Descriptors: Teaching Methods, Physics, Science Instruction, Quantum Mechanics
Jun Kataoka – ProQuest LLC, 2024
This dissertation proposes novel Domain Adaptation (DA) methods in real-world industrial settings, where the availability of labeled data is limited and test data can significantly differ from training data. Particularly, our research addresses key challenges in DA, including the applicability of DA methods in industrial settings, strategies to…
Descriptors: Industry, Authentic Learning, Data, Training Methods
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Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
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Tugba Yuksel; Lynn A. Bryan; Alejandra J. Magana – International Journal of Science Education, 2024
Quantum physics forms the basis for exciting new technologies, including quantum computers, quantum encryption, and quantum entanglement. The advancement of science and technology highlights the importance of mastering quantum physics and its applications, not only at the college level but also as early as high school. In this multiple case study,…
Descriptors: Undergraduate Students, Models, Quantum Mechanics, Science Instruction
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W. Brian Lane; Daniela Zavala; Gabriella Khazal; Naomi Laird – Physical Review Physics Education Research, 2024
The communities of practice (COP) framework describes learning as a process of navigating one's position of membership within a community of professionals pursuing a set of common goals using established practices. As students navigate their membership within a community like a physics research group, they develop a mental model of the community…
Descriptors: Student Research, Research Training, Physics, Science Instruction
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Ben Van Dusen; Heidi Cian; Jayson Nissen; Lucy Arellano; Adrienne D. Woods – Sociology of Education, 2024
This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…
Descriptors: Educational Research, Intersectionality, Critical Race Theory, STEM Education
Myungsoo Yoo – ProQuest LLC, 2024
Spatio-temporal processes are ubiquitous and prevalent across disciplines. Understanding the mechanisms underlying processes and integrating this information into models is of great interest, as it can improve forecasting accuracy and align with scientific motivation. Examples of such models include Partial Differential Equation (PDE) Models or…
Descriptors: Physics, Teaching Methods, Spatial Ability, Accuracy
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