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 42 for “"Improved learning"”.
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Strategies for Improved Learning for Students with Audiotry Processing Difficulties
<p>Auditory processing disorder (APD) is a learning disability that affects an estimated 2-3% of children. These children often have difficulty storing, locating and retrieving information from reading and conversation. Unfortunately, they are frequently undiagnosed. When faced with these students, …
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Evaluation of Integrating Knowledge Management and E-Learning Towards Improved Learning Framework: KSA Case Study. Assessment Study of Linking KM with EL Factors aiming to Improve the Learner Performance in the Kingdom of Saudi Arabia, based on the New Bloom’s Taxonomy Framework
… on the Internet, has increased the demand of E-Learning (EL). Furthermore, knowledge management (KM) is capable of generating significant organisational/institutional competitive advantages. KM and EL systems contribution to the requirements of education has resulted in their increased demand of …
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Learning in High Dimensional Spaces: Applications, Theory, and Algorithms
… results are used to extend the existing learning algorithms. Based on the results from probabilistic classifiers, we have proposed an improved learning algorithm for HMMs which attempts to learn a maximum likelihood classifier under the minimum conditional entropy prior. A margin …
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Visualization of microprocessor execution in computer architecture courses: a case study at Kabul University
… simulation teaching aid. The results showed that improved learning was achieved, suggesting that this approach could be useful in other computer science departments in Afghanistan, and elsewhere where similar challenges are experienced.
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Does the redundancy principle of multimedia learning hold in the secondary science classroom?
… to which the redundancy principle of multimedia learning holds in the context of a secondary science classroom. Previous research has identified circumstances when eliminating redundant information improved learning outcomes, but those studies were conducted in laboratory and workplace settings …
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Modulatory effects of GluN1 autoantibodies on brain function
… Moreover, GluN1-vaccinated rats showed enhanced learning and memory function. These exciting observations are crucial for developing an immunotherapeutic strategy for neurodegenerative disease treatments as the NMDA receptor is not only essential for brain function, but is also involved in the …
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Learning styles in deafblind children; perspectives from practice
This thesis explores the concept of learning styles as they relate to the education of deafblind children. A literature review concludes that assessment of learning may be more effective than assessment of skills. The practice of assessment in the UK is researched through the use of a survey of …
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WhatWhen2Ask: Cost-Aware LLM Querying for Autonomous Robots in Uncertain Environments
… and long-horizon planning. While reinforcement learning (RL) enables agents to learn from experience, standard policies often struggle to generalize in the presence of ambiguous tasks or incomplete information. Large language models (LLMs) can provide valuable semantic guidance, but their high …
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Provision of High Quality Preschool Education as an Economic Development Tool: the Case of Ngaraba Nursery School in Mabibo Ward in Kinondoni Municipality, Dar Es Salaam, Tanzania.
… Results of the survey reveal that the status and learning environment of the Nursery School is poor. The Nursery School cannot maintain the required standards due to inadequate capital. The fees rate per month is TZS 3000. A monthly collection is not enough to pay for salaries and other …
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The impact of Louisiana's School and District Accountability System on students' performance on the state mandated criterion referenced test
… determine why? 3) Determine where there has been improved learning and identify those practices teachers use to obtain the positive results. For the qualitative analyses, data were collected from interviews, surveys and observations with 4th grade teachers and principals in the selected school …
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Plausible Inference: A Knowledge-Intensive Approach to Induction (An Application of PI to the Problem of Hidden Homology Modeling)
We adopt the perspective of learning as a user-controlled tool that assists in complex domain modeling. Using this perspective we develop Plausible Inference (PI)--a framework based on the tradeoffs suggested by this learning-as-a-tool perspective. Four aspects of the approach distinguish it from …
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Network exploration effects in machine and human groups
… diversity afforded by such behavior relates to learning and discovery. I first take a theoretical and algorithmic approach to show how considering exploration behavior and information diversity in deep reinforcement learning systems can lead to improved learning. I then present brief …
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Characterizing Algorithmic Performance in Machine Learning for Education
… offering numerous benefits such as personalized learning, intelligent tutoring, and data-driven insights. However, alongside this progress, concerns have arisen about potential algorithmic disparities and performance issues in AI applications for education. This doctoral thesis addresses these …
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Can music and animation affect flow and attainment in online learning?
E-learning has found its way into various areas of our lives and, as technology has developed, the ways in which e-learning has been delivered have become more varied. Researchers and e-learning developers can become captivated by new technologies and the facilities that these technologies can …
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Learning an Artificial Neural Network (ANN) is an optimization task since it is desirable to find optimal weight sets of an ANN in the training process. Different equations are used to guide the network for providing an accurate result with less training and testing error. Most of the training …
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Managing learning interactions for collaborative robot learning
… shares the responsibility in guiding its own learning process and is a collaborator in the learning. Additionally, given the robot requires some tutelage from its partner, awareness of constraints on the teacher’s time and cognitive resources available for devoting to the interaction could …
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Teachers' Perceived Changes in Practices and Students' Learning as a Result of Implementing Teacher Action Research
… impact their teaching practices and students learning. Teachers are searching for a practice that allows them to be proactive in simultaneously addressing the differentiated needs of their students. Action research is that practice. Guidance is needed in the design and implementation of an …
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On Sequence Clustering and Supervised Dimensionality Reduction
<p>This dissertation studies two machine learning problems: 1) clustering of independent and identically generated random sequences, and 2) dimensionality reduction for classification problems. </p> <p>For sequence clustering, the focus is on large sample performance of classical clustering …
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Learning through Games: Essential Features of an Educational Game
… questions: (1) Do instructional games augment learning? (2) What is the impact of the challenge and fantasy features in instructional games on learning? For the purpose of this study, a game called "Humatan" was designed to teach human anatomy to high school students based on the Baltimore …
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Design, Analysis and Testing of Efficient Memristive Neural Networks
… large memristor based neural networks. Then, an improved learning method for ex-situ training and a novel circuit design for activation function are also presented in this work. Based on these designs and learning methods, various single and multi-layer memristive crossbar neural architectures …
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