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 121 for “"Learning performance"”.
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Optimizing Machine Learning Performance on Tabular Clinical Data: A Pipeline Approach
… of developing robust and effective machine learning solutions for mixed-type tabular clinical data. Such datasets, prevalent in healthcare, are characterized by a complex interplay of numerical and categorical features, often leading to intricate, non-linear dependencies that hinder …
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Improving federated learning performance with similarity guided feature extraction and pruning.
Federated Learning (FL) is a Machine Learning (ML) paradigm that learns from distributed clients to collaboratively train a global model in a privacy-preserved manner without sharing their private data. Traditional centralised ML approaches require aggregating data from various sources into a …
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Hyperparameter tuning and its effects on deep learning performance and generalization
Hyperparameter tuning is an integral part of deep learning research. Finding hyperparameter values that effectively leverage the strengths of network architectures and training procedures is crucial to maximizing performance. However, extensive hyperparameter searches raise concerns about …
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The Learning Performance of Retarded Children With Visual and Auditory Sense Modality Disabilities
Made available in DSpace on 2014-12-08T21:23:02Z (GMT). No. of bitstreams: 1 6408386.pdf: 5651117 bytes, checksum: 218e96527f001a323129715972bfd5be (MD5) Previous issue date: 1964
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A study of hypertext document structure and individual differences: Effects on learning performance
… on users' attitude and information searching performance. The interaction effects between structure of hypertext documents and individual difference variables were examined. The three types of combinations of structure and menu design were: (a) hierarchical structure signaled by explicit menus …
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Effects of Pretraining on the Visual Discrimination Learning Performance of 3-Month-Old Infants
… to visual stimuli demonstrate more effective performances on visual task than infants who display longer fixations to visual stimuli. The purpose of this experiment was to study the effects of visual intervention upon the task performance of both short and long fixating 3-month-old infants. …
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An optimization approach to relate neural circuit architecture, loss landscapes and learning performance in static and dynamic tasks
Learning is challenging for large and complex neural circuits. There is a fundamental difficulty in determining how individual neurons or synapses affect the overall behavior of a circuit, which is known as the credit assignment problem. Rather than looking at single neurons or synapses then, one …
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Supporting teachers' data use for instructional improvement: The role of learning performance management systems and professional learning context
… teachers’ data use, and improved teaching and learning. This multiple-methods study used questionnaire data from a statewide sample of teachers (n=1422) to examine key school conditions—technological data management tools and professional learning community context—that purportedly support …
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Effects of modeling and ongoing psychological stress on learning performance and state anxiety of high test anxious students
… this anxiety has a facilitative effect on the learning performance of high test anxious subjects. The effectiveness of the above model was determined with high test anxious female subjects who were psychologically stressed at the time that they observed the model. Using the number of correct …
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Field Dependence and Independence and the Effect of Level of Guidance on Learning Performance for Associate Degree Nursing Students
Because of the continued need for nurses skilled at calculating drug dosages and the assumed responsibility of nurse educators for student competency, this study was conducted to determine the effects of minimum and maximum guided drug calculation instruction in relation to the student's cognitive …
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Multimodal interactive e-learning: An empirical study. An experimental study that investigates the effect of multimodal metaphors on the usability of e-learning interfaces and the production of empirically derived guidelines for the use of these metaphors in the software engineering process.
… of multimodal metaphors in the presentation of learning information to evaluate the effect of these combinations on the usability of e-learning interfaces and on the users¿ learning performance. The empirical research described in this thesis comprised three experimental phases. In the first …
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Analyzing the impact of BYOD in secondary school English classrooms
… on secondary school students’ engagement, learning process, and learning performance in English classrooms. Five grade 9 English classes (n = 80) from a suburban high school, with students between the ages of 13 and 16 years old, participated in the study. A mixed-methods design was used, …
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Social Gamification in Multimedia Instruction: Assessing the Effects of Animation, Reward Strategies, and Social Interactions on Learners Motivation and Academic Performance in Online Settings
… is also a critical factor that influences learning performance in online settings; however, the question of how to retain newly gained motivation and transfer it into learning efforts is still a challenge in educational technology. This study investigated the ways that social interactions …
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Impact of learner control on learning in adaptable and personalised e-learning environments
… of learners‟ measure of control over their learning, while working in different online learning environments, and how this, in combination with a structured learning material selection according to their learning preferences, can affect their learning performance. A qualitative study was …
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A system analysis of improvements in machine learning
Machine learning algorithms used for natural language processing (NLP) currently take too long to complete their learning function. This slow learning performance tends to make the model ineffective for an increasing requirement for real time applications such as voice transcription, language …
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Enhancing learning through opening the group model in a synchronous computer-based environment.
… seeks to apply the concepts of collaborative learning and open learner modelling in order to find out whether seeing their own group learner model helps learners improve their learning in a computer-based collaborative learning environment. There is previous work on giving back information …
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Uncertainty-Inclusive Contrastive Learning for Leveraging Synthetic Images
… synthesized training data to improve few-shot learning performance. Prevailing approaches treat all generated data as uniformly important, neglecting the fact that the quality of generated images varies across different domains, datasets, and methods of generation. Using poor-quality images can …
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The effect of self-explanation and metacognitive scaffolding on learning web programming
… and improving debugging skills in web-based learning environments. The first study, involving 68 college students, investigated effects of self-explanation and metacognitive scaffolding. Students generating more principle-based explanations outperformed in immediate tests as well as transfer …
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Designing intelligent language tutoring system for learning Chinese characters
… instructions; Version B did not. Participants’ learning performance and survey results were used to measure the effectiveness and usability of the system. Learning performance of the group who used Version A was statistically significantly better than that of the Version B group. Participants …
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