Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 23 for “"Learning---Physics"”.
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Learning Physics as a Machine
Contains fulltext : 295258.pdf (Publisher’s version ) (Open Access)
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The role of tutors in the effectiveness of cooperative learning physics tutorials
… tutorials have been in lise in the Department of Physics at the University of Cape Town for more than a decade. They are implemented with the belief that students have the opportunity to develop problem-solving skills through interacting with each other, and are able to make sense of physics …
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On the nature and origin of intuitive theories : learning, physics and psychology
… of intuitive theories, in particular intuitive physics and intuitive psychology, which form the basis of commonsense reasoning. The overarching formal framework is that of hierarchical Bayesian models, which see the mind as having domain-specific hypotheses about how the world works. The work …
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Developing multi-representational problem solving skills in large, mixed-ability physics classes
… skills coupled with poor attitudes towards learning physics. Their secondary education experience of physics has left them with little fondness or appreciation for the subject, which they perceive as a purely formula-driven, mathematical discipline with little or no connection to either …
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How to solve a physics problem: negotiating knowledge and identity in introductory university physics
… this project I study introductory undergraduate physics classrooms as critical sites in the development of students’ relationships with physics. Drawing on interviews with students, observations of classrooms, and analyses of textbooks, I compare introductory undergraduate courses in physics …
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Data-driven Modeling of Lithium Intercalation Materials
… In this thesis, I developed the framework of learning physics and extracting quantitative models of lithium intercalation materials from experimental data. Built upon the theoretical foundation of the reaction kinetics, transport phenomenon, thermodynamics, and electrochemistry of lithium …
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Sampling Configurational Energy Landscapes
… systems, and biomolecules; machine learning; physics; and other fields. This work presents a variety of novel methods developed to aid the computational study of the structures, dynamics, and thermodynamics of systems described by these surfaces, traditionally termed energy …
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Artifact-based reflective interviews for identifying pragmatic epistemological resources
<p>Physics Education Research studies the science of teaching and learning physics. The process of student learning is complex, and the factors that affect it are numerous. Describing students' understanding of physics knowledge and reasoning is the basis for much productive research; however, such …
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A study of conceptualised links in the understanding of introductory Newtonian dynamics
… into student understanding of university level physics has been extremely extensive over the past decade with many international studies affirming the inherent complexity and difficulty that undergraduate students typically experience in learning physics. An important and informative element of …
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Women Majoring in Physics: An Exploratory Case Study of Factors That Influenced Women Persisting in an Undergraduate Physics Program at a Large Private University in the Chicago Metropolitan Area
… were influencing womens' decision to persist in physics and lead to their successful completion of an undergraduate physics program. The number of bachelor's degree in physics awarded between 1933 and 2009 showed a steady increase in female participation in physics which peaked at 22% around 2000 …
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Perceptions of Education Administration towards the Teaching and Learning of O-level Physics:A case of the Copperbelt Province
… administrators towards the teaching and learning of O-Level Physics of the Copperbelt province. The study focused on 46 high schools where O-level Physics was offered within the Copperbelt province. A total sample was of 102 respondents selected from the ten districts of the Copperbelt …
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Análisis de Protocolos en alumnos de Educación Secundaria Obligatoria: un análisis del pensamiento metacognitivo en la asignatura de Física
Esta investigación, realizada con alumnos de Secundaria Obligatoria, trata de determinar si el entrenamiento auto-regulatorio en resolución de problemas produce un incremento en la percepción del conocimiento sobre contenidos de física. Además, se analiza si existe una relación entre la calidad de …
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Physics-informed Machine Learning with Uncertainty Quantification
Physics Informed Machine Learning (PIML) has emerged as the forefront of research in scientific machine learning with the key motivation of systematically coupling machine learning (ML) methods with prior domain knowledge often available in the form of physics supervision. Uncertainty …
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Training Physics-Guided Neural Networks with Multiple Constraints: An Application in Lake Ecology Modeling
… and predicting lake ecology. While machine learning has shown potential in modeling such systems, sparse environmental data often limits the ability of machine learn- ing models to produce physically consistent predictions or generalize to novel conditions. As a result, many existing …
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La enseñanza de la física mediante un aprendizaje significativo y cooperativo en Blended Learning
… contexto de la enseñanza, se trata de "Blended Learning", conocido como un aprendizaje mixto, que combina lo presencial con lo virtual. En la presente investigación doctoral se propone un Modelo de Enseñanza de la Física Basada en el Aprendizaje Significativo (EFBAS), ambientado en Blended …
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Cultivating Trusting Teams: A Mixed-Methods Investigation of Collaborative Learning in Undergraduate Physics
… and quantitative studies examining collaborative learning in undergraduate physics classrooms. In the qualitative study, I investigate how undergraduate physics students characterize successful teams using constructivist grounded theory to analyze 302 student written reflections collected over …
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Machine Learning with Geometric Algebra: Multivectors for Modelling, Understanding and Computing
… applied in several fields, including physics, graphics, and robotics, but its potential in Machine Learning (ML) and Deep Learning (DL) remains largely unexplored. This thesis addresses that gap by investigating the application of GA to a variety of ML tasks that are inherently …
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Science Guided Machine Learning: Incorporating Scientific Domain Knowledge for Learning Under Data Paucity and Noisy Contexts
… labeled data available has helped tend machine learning (ML) research toward using purely data driven end-to-end pipelines, e.g., in deep neural network research. However, in many situations, data is limited and of poor quality. Traditional ML pipelines are known to be susceptible to various …
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Methods for Generalized Low-Dimensional EEG Analysis Using Transfer Learning
… possible solution however is the use of transfer learning - a method of boosting machine learning performance on one task using data from a similar task. In this thesis, we use transfer learning to make several advances in the field of sleep staging with wearable sensors: 1) We test a variety of …
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Picturing the physics behind equations and graphs: a grounded cognition based model for multimedia learning and its application in physics education
… thesis tries to answer a fundamental question in physics education: How does the design of instructional representations affect the process of constructing physics knowledge? This question is important for the creation of instructional materials of any form, ranging from printed textbooks to …
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