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Showing 1 to 15 of 36 results Save | Export
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Su, Kun; Henson, Robert A. – Journal of Educational and Behavioral Statistics, 2023
This article provides a process to carefully evaluate the suitability of a content domain for which diagnostic classification models (DCMs) could be applicable and then optimized steps for constructing a test blueprint for applying DCMs and a real-life example illustrating this process. The content domains were carefully evaluated using a set of…
Descriptors: Classification, Models, Science Tests, Physics
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Zhan, Peida; Jiao, Hong; Liao, Dandan; Li, Feiming – Journal of Educational and Behavioral Statistics, 2019
Providing diagnostic feedback about growth is crucial to formative decisions such as targeted remedial instructions or interventions. This article proposed a longitudinal higher-order diagnostic classification modeling approach for measuring growth. The new modeling approach is able to provide quantitative values of overall and individual growth…
Descriptors: Classification, Growth Models, Educational Diagnosis, Models
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Langbeheim, Elon; Perl, David; Yerushalmi, Edit – Journal of Science Education and Technology, 2020
This study focuses on science teachers' first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers' self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics. The learning modules introduce phenomena, the…
Descriptors: Science Teachers, Secondary School Teachers, Teacher Attitudes, Grade 9
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Barth-Cohen, Lauren A.; Braden, Sarah K.; Young, Tamara G.; Gailey, Sara – Physical Review Physics Education Research, 2021
Research in undergraduate physics and in K-12 science education has demonstrated challenges and successes in facilitating student engagement with reasoning practices associated with professional physicists. Here we focus on one important dimension of physics reasoning, using evidence to revise models. While this topic has been explored at the…
Descriptors: Middle School Students, Physics, Science Instruction, Thinking Skills
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Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
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Thurn, Christian; Nussbaumer, Daniela; Schumacher, Ralph; Stern, Elsbeth – Journal of Intelligence, 2022
We explored the mediating role of prior knowledge on the relation between intelligence and learning proportional reasoning. What students gain from formal instruction may depend on their intelligence, as well as on prior encounters with proportional concepts. We investigated whether a basic curriculum unit on the concept of density promoted…
Descriptors: Prior Learning, Intelligence, Training, Logical Thinking
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Alanazi, Fayadh Hamed – Journal of Turkish Science Education, 2020
This study sought to examine the impacts of the application of the McCarthy Model (4MAT) teaching approach in enhancing seventh-grade female students' conceptions of electricity in physics. The study sample comprised a total of 41 female students, who were selected from two schools located in the Kingdom of Saudi Arabia's city of Aljouf. The…
Descriptors: Foreign Countries, Instructional Effectiveness, Teaching Methods, Scientific Concepts
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Aksit, Osman; Wiebe, Eric N. – Journal of Science Education and Technology, 2020
Computational thinking (CT) and modeling are authentic practices that scientists and engineers use frequently in their daily work. Advances in computing technologies have further emphasized the centrality of modeling in science by making computationally enabled model use and construction more accessible to scientists. As such, it is important for…
Descriptors: Thinking Skills, Science Instruction, Teaching Methods, Computer Science Education
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Safadi, Rafi' – International Journal of Science Education, 2022
Troubleshooting activities require students to diagnose teacher-crafted erroneous examples by detecting and explaining the conceptual errors driving them. In a previous study, the author tested whether diagnosing erroneous examples and then scoring them using a rubric that contained the related worked examples, a step-by-step strategy to solve a…
Descriptors: Error Patterns, Scientific Concepts, Physics, Science Instruction
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Langbeheim, Elon; Ben-Eliyahu, Einat; Adadan, Emine; Akaygun, Sevil; Ramnarain, Umesh Dewnarain – Chemistry Education Research and Practice, 2022
Learning progressions (LPs) are novel models for the development of assessments in science education, that often use a scale to categorize students' levels of reasoning. Pictorial representations are important in chemistry teaching and learning, and also in LPs, but the differences between pictorial and verbal items in chemistry LPs is unclear. In…
Descriptors: Science Instruction, Learning Trajectories, Chemistry, Thinking Skills
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Sengul, Ozden – Journal of College Science Teaching, 2021
This article is prepared as part of a "Practice Teaching in Science" course of a teacher education program aiming for developing prospective science teachers' teaching through inquiry-based instruction involving practices of science and active learning strategies. During the semester, student teachers are required to prepare four…
Descriptors: Science Instruction, Science Teachers, Preservice Teachers, Learning Strategies
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Aydin Ceran, Sema; Ates, Salih – Journal of Education in Science, Environment and Health, 2019
In this study, it was aimed to determine the effects of the learning process based on the 5E Model Supported by Real Life Based Context in the Unit of Force and Energy in the course of Science on the conceptual understanding levels of the students at the seventh grade which are measured various techniques. The research was designed with…
Descriptors: Teaching Models, Secondary School Science, Science Instruction, Physics
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Xu, Beichen; Su, Jun; Wang, Weiguo – Physics Education, 2018
Cosmic expansion is an important concept in astronomy. For ease of understanding, astronomers generally draw an analogy between cosmic expansion and the expansion of a spherical surface in 3D space. This study theoretically and experimentally investigates the laws governing the motion of particles on the surface of a balloon during expansion.…
Descriptors: Physics, Science Instruction, Astronomy, Motion
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Kaur, Tejinder; Blair, David; Choudhary, Rahul Kumar; Dua, Yohanes Sudarmo; Foppoli, Alexander; Treagust, David; Zadnik, Marjan – Physics Education, 2020
There is growing interest in the introduction of Einsteinian concepts of space, time, light and gravity across the entire school curriculum. We have developed an educational programme named 'Einstein-First', which focuses on teaching Einsteinian concepts by using simple models and analogies. To test the effectiveness of these models and analogies…
Descriptors: Science Instruction, Physics, Gender Differences, Scientific Concepts
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Clark, Douglas B.; Sengupta, Pratim – Interactive Learning Environments, 2020
This paper situates a critical review of studies that we have conducted within the broader research literature to analyze the affordances of integrating modeling within disciplinarily-integrated games from computational thinking and science as practice perspectives. Across the studies, the analyses pursue two themes: (a) the role of agent-based…
Descriptors: Game Based Learning, Thinking Skills, Computer Games, Science Education
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