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 48 for “"Learning methodology"”.
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Inquire Within: The Connection between Teacher Training in Inquiry Learning Methodology and Classroom Practice.
… teachers focusing on systematizing an inquiry learning approach inspired by the literature on Reggio Emilia inspired practices. This study uses a qualitative, multi-methodology approach including interviews, examination of classroom documentation, and examination of the Broderick and Hong Cycle …
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Development of a melodic achievement test for fourth graders taught by a specific music learning methodology
… melodic achievement test that would evaluate the learning effectiveness of fourth graders taught by the Generative Approach to Music Learning (GAML). The test was designed to seek a full picture of students' achievement by (a) using music examples that were from the students' melodic repertoire, …
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An evaluative study of a university course for professional adult educators using an experiential learning methodology
This study explored the use of the experiential learning methodology and the concept of learner responsibility within a course for the professional preparation of adult educators at university level. The research methodology was illuminative evaluation using case study research and participant …
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ENHANCING pm2.5 AIR POLLUTION ANALYSIS IN BEIJING: A TRANSITION FROM NON-PARAMETRIC REGRESSION TO ADVANCED MACHINE LEARNING METHODOLOGY
This study presents a machine learning approach to analyzing PM2.5 pollution in Beijing, transitioning from traditional non-parametric methods to the advanced Random Forest Plus (RF+) methodology. The original research, which used non-parametric regression and bandwidth selection frequency, to …
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Conjunctive Conceptual Clustering: A Methodology and Experimentation (Learning)
This thesis describes a machine learning methodology called conjunctive conceptual clustering. The methodology can find conceptual patterns in data as illustrated by three sample problems. In one problem, the method is used to rediscover categories of soybean disease when given a collection of 47 …
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Characterization of underwater target geometry from Autonomous Underwater Vehicle sampling of bistatic acoustic scattered fields
… thesis proposes a vehicle payload and machine learning classification methodology using bistatic angle dependence of target scattering amplitudes between a fixed acoustic source and target for lower cost-per-vehicle sensing and onboard, fully autonomous classification. The contributions of this …
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Characterization of underwater target geometry from autonomous underwater vehicle sampling of bistatic acoustic scattered fields
… thesis proposes a vehicle payload and machine learning classification methodology using bistatic angle dependence of target scattering amplitudes between a fixed acoustic source and target for lower cost-per-vehicle sensing and onboard, fully autonomous classification. The contributions of this …
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A machine learning approach to wind estimation and uncertainty using remote dropsondes and deterministic forecasts
… release a payload. This work proposes a machine learning method that enables a single pass airdrop mission where a dropsonde is released en route to a DZ, the dropsonde measurement is merged with a weather forecast using machine learning methods, and the aircrew releases the payload when they …
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Cooperative learning methods for group piano : the development of a teaching guide
This inquiry explored cooperative learning theory and methodology in the context of teaching functional keyboard skills in undergraduate collegiate group piano classes. The purpose was to create a teaching guide to be used in the teaching and learning of harmonization, transposition, improvisation, …
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High-Level Test-Driven Learning Using Web Application and Web Service
In order to introduce learning cases with real-world contexts to the Computer Science students in their early stage of learning, a set of Web applications that utilize Web services are simplified and customized to demonstrate the core concept of high-level test-driven learning methodology. Four …
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Personalised exercise recognition towards improved self-management of musculoskeletal disorders.
… Exercise Recognition (ExRec) is the machine learning problem that investigates the automation of exercise monitoring. Multiple challenges arise when implementing high performing ExRec algorithms for a wide range of exercises performed by people from different demographics. In this thesis, we …
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An Evaluation Of A Stem Magnet Program That Utilizes Project-Based Learning To Improve Student Achievement
… Magnet program that implements Project Based Learning (PBL) analyzes three areas of study, Engineering, Biomedical Science, and Game Design and the relationship to student achievement. The three areas of study provide the platform for a STEM-PBL learning methodology that is geared towards …
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Mobile hyperspectral imaging for structural damage detection
… in discriminating complex objects, a machine learning methodology is developed with classification models that are characterized by four different feature extraction processes. Experimental validation with quantitative measures proves that hyperspectral pixels, when used conjunctly with …
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Uncertainty quantification and calibration in nuclear safety codes using Gaussian process active learning
… of the simple GP emulator using an active learning methodology to select additional training points which cover the posterior sample space of the unknown parameters. Furthermore, the effect of the covariance function on the performance of the GP is investigated with recommendations made for …
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Machine Learning Approaches to Multi-Modal Data Integration and Translation in Single-Cell Biology
… tools. In this thesis, I develop new machine learning methodology to integrate and translate between single-cell data. In the first half, I develop methods based on generative modeling, representation learning and optimal transport to learn mappings between cells collected at different time …
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Learning, using examples, to translate phrases and sentences to meanings
… goal. I have combined aspects of Winston's Arch learning methodology with implementations of three powerful representations: Lexical Conceptual Semantics[Jackendoff 1983], Transition Spaces[Borchardt 1993], and Thread Memory[Vaina, Greenblatt 1979], in a system that learns to instantiate semantic …
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Communication-Aware, Scalable Gaussian Processes for Decentralized Exploration
… performance. Next, we propose a model-based learning methodology for the prediction of underwater acoustic performance using a realistic propagation model. The methodology consists of two steps: i) estimation of the covariance matrix by evaluating candidate functions with estimated …
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The Effectiveness of School-Based In-Service Training for Primary School Teachers (INSET-PST) in Enhancing Teacher Professional Development: A Case study of Bagamoyo District
… (Mean=4.0); Arranges classroom to facilitate learning (Mean = 4.0) and Encouraging pupils to ask questions (Mean =4.0) which unlike others, encouraged much interaction between teacher and pupils hence improvement in learning. Furthermore significant difference was observed for teachers who …
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Advancing Equity and Reliability in Machine Learning
… serious consequences for the behavior of machine learning models across environments and demographic subgroups. If a disease is systematically underdiagnosed, machine learning models trained on this data risk replicating patterns of underdiagnosis. If the data used to evaluate machine learning …
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