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 28 for “"Learning scenarios"”.
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Designing Social Micro-Learning Interventions for Blended Learning Scenarios in Higher Education: Mixed Methods Case Study at Macromedia University of Applied Sciences
… thesis explores the role of social micro-learning in enhancing blended learning within higher education. Addressing the shift towards digital and competency-based teaching, the main research question was formulated as follows: “How valuable is it for higher education to support blended …
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A new semantic similarity join method using diffusion maps and long string table attributes
… time under both supervised and unsupervised learning scenarios; 2) we found the best semantic similarity method to join long attributes in both supervised and unsupervised learning scenarios; 3) we proposed efficient semantic similarity join methods using long attributes under both supervised …
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Computer based training for new California State University, San Bernardino faculty
… Bernardino. The courseware presents classroom learning scenarios and teaching strategies that support the construction of the faculty member's teaching and learning philosophy and a five year plan.</p>
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Integrating eLearning in english language teaching and learning
… integration in English language teaching and learning was investigated through an action research project. The study investigated the beliefs of a number of Maltese teachers of English about technology integration and to what extent they integrated technology in their professional practice. …
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Towards the Development and Understanding of Collaborative Mixed-Reality Learning Spaces
… roles in improving students collaborative learning performance during learning activities. However, few empirical studies have considered how using such interfaces may affect learning outcomes and whether students truly feel fully immersed and engaged in such environments. Furthermore, the …
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Human Computer Interaction for Complex Machine Learning
… human intelligence best to inform machine learning models. More specifically, the complex relationship between the changes in movement functionality to movement quality. I designed and evaluated the Tacit Computable Empowering methodology across two domains: in-home rehabilitation and …
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Out-of-distribution generalisation in machine learning
Machine learning has proven extremely useful in many applications in recent years. However, a lot of these success stories stem from evaluating the algorithms on data very similar to that they were trained on. When applied to a new data distribution, machine learning algorithms have been shown to …
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Learning Real-World Problems by Finding Correlated Basis Functions
Learning algorithms based on the Fourier transform attempt to learn functions by approximating the largest coefficients of their Fourier representations. Nearly all previous work in Fourier-based learning has been in the theoretical realm, where properties of the transform have made it possible to …
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Affordable Fiber Extrusion Device for Educational Purposes: Design Improvements, Controls Development, and Manufacturing Scale-up
… the practical laboratory experience in remote learning scenarios. FrED has gone through multiple iterations, yet several outstanding issues remain. Building on the 2023 team’s progress, the 2024 project objectives include refining the design, developing controls, scaling up manufacturing, …
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Multi-Task Reinforcement Learning: From Single-Agent to Multi-Agent Systems
… as well as deficiencies of multi-task learning due to a phenomenon known as catastrophic forgetting. In this thesis, we present a set of simulation environments for exploring the abilities of multi-task drone systems and provide a platform for testing agents in incremental single-agent …
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Scripts for Computer-Supported Collaborative Learning
Using computers as tools to mediate collaborative learning has had a profound impact on how we construct and communicate knowledge today. Computer interfaces have not been genuinely designed, however, to support collaborative knowledge construction. This study shows how computer interfaces can be …
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Non-asymptotic bounds for prediction problems and density estimation.
This dissertation investigates the learning scenarios where a high-dimensional parameter has to be estimated from a given sample of fixed size, often smaller than the dimension of the problem. The first part answers some open questions for the binary classification problem in the framework of …
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Knowledge transfer in vision tasks with incomplete data
In many machine learning applications, some assumptions are so prevalent as to be left unwritten: all necessary data are available throughout the training process, the training and test data are independent and identically distributed (i.i.d.), and the dataset sampling sufficiently represent the …
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Transfer learning for low-resource natural language analysis
Expressive machine learning models such as deep neural networks are highly effective when they can be trained with large amounts of in-domain labeled training data. While such annotations may not be readily available for the target task, it is often possible to find labeled data for another related …
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Exploring the power of heterogeneous information sources
… information sources in such challenging learning scenarios. There are two interesting perspectives in learning from the correlations among multiple information sources: Explore their similarities (consensus combination), or their differences (inconsistency detection). In consensus …
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Beyond pre-training: continual learning and hallucinations in transformer-based language models.
… models. First, the thesis addresses practical scenarios in text classification where new data domains and tasks are defined incrementally over a period of time, requiring models to continually learn on newly acquired data. The research investigates existing approaches to continual learning and …
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Voice Interactive Classroom, a service-oriented software architecture to enable cross-platform multi-channel access to Internet-based learning
… a ubiquitous context for human living and learning in which new modes of interaction are gradually being incorporated. At the same time, interaction with Internet-based learning systems has evolved from using the traditional access from a personal computer or laptop‟s web browser to more …
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School Administrator Preparation in Special Education: A Cross-Case Analysis
… programs. Simulations such as problem-based learning scenarios might also be employed in the preparation classroom.</p> <p>Additionally, although not explicitly stated as weaknesses in their credential programs, all four administrators highlighted the importance of relationship-building and …
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Towards a Generalised Pedagogical Framework for Creating Mixed-Mode Role-Play in a 3D Virtual Environment
… with creating virtual environments for learning are: finding the simplest way to model and represent abstract concepts as 3D objects; and implementing the students’ interactions - with each other, with their instructor, and with the represented objects. Also, many projects have focused …
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Learning with Single View Co-training and Marginalized Dropout
… properties of most existing machine learning techniques are predicated on the assumptions that 1) a sufficiently large quantity of training data is available; 2) the training and testing data come from some common distribution. Although these assumptions are often met in practice, …
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