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 35951 for “"Learning"”.
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Learning by learning to communicate
… the various specialists learn to cooperate by learning to communicate, basing this proposal on the phenomenon of communication bootstrapping, in which shared experiences form a basis for agreement on a system of signals. In this dissertation, I lay out a roadmap for investigating this …
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E-Learning and learning styles:implementing and evaluation of learning sequence method
… differently from one another; have different learning styles, strengths and preferences in the ways they take in and process information. The research reported here asks whether, in Higher Education, and using new online technologies, the learning process can be enhanced by matching it to …
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Learning through experience: making sense of students' learning through service learning
… study asks how we can make sense of students' learning in service learning. I employed a qualitative research methodology to explore the learning experiences of four students as they journeyed through the UCT Global Citizenship course: Thinking about volunteering: service, boundaries and power. …
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Teacher Learning Within Professional Learning Communities
<p>Professional Learning Community (PLC) structures require focused sessions of teacher collaboration as part of developing effective instructional practices leading to improved student performance outcomes. The PLC structured collaboration model has been implemented in schools across the country, …
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Improving Machine Learning Through Oracle Learning
… paradigm for improving the training of machine learning algorithms, oracle learning. The main idea in oracle learning is that instead of training directly on a set of data, a learning model is trained to approximate a given oracle's behavior on a set of data. This can be beneficial in situations …
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Learning to Plan by Learning Rules
… from scratch. By contrast, deep reinforcement learning (DRL) algorithms are ill-suited to learning policies in rule-based environments, as satisfying rules often involves executing lengthy tasks with sparse rewards. Furthermore, learned DRL policies are difficult if not impossible to interpret …
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Learning to teach and meta-learning for sample-efficient multiagent reinforcement learning
Learning optimal policies in the presence of non-stationary policies of other simultaneously learning agents is a major challenge in multiagent reinforcement learning (MARL). The difficulty is further complicated by other challenges, including the multiagent credit assignment, the high …
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College students with learning disabilities: a developmental perspective on conceptions of learning, learning disability, and others in learning
… and practice on postsecondary students with learning disabilities (LD). Important components of self-awareness are students' advanced understanding of learning, LD, and the social context (peers, instructors, classmates) of college learning. This study explores students with LD's conceptual …
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Towards Trustworthy Learning in Temporal Learning Environments
… thesis explores how to build trustworthy machine learning systems that learn and adapt over time. As machine learning moves beyond static benchmarks and into real-world settings, where data distributions shift, environments change, and objectives evolve, it is more important and difficult to …
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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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Learning by Watching and Learning by Doing
… works which use these paradigms as a basis for learning algorithms. First, we explore learning by watching in which video data is directly used to learn about the visual world. Second, we tackle multiple challenging tasks in embodied environments in which agents learn by interacting with their …
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Affordances of Learning Analytics for Mediating Learning
Learning analytics acceptance and adoption is a socio-technological endeavour. Understanding how learning analytics impact practice is an important part of demonstrating their value. In the study presented in this thesis, "Mediated Learning" provides a framework through which to describe how …
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Deep learning based approaches for imitation learning.
Imitation learning refers to an agent's ability to mimic a desired behaviour by learning from observations. The field is rapidly gaining attention due to recent advances in computational and communication capabilities as well as rising demand for intelligent applications. The goal of imitation …
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Pre-Learning Interventions Modulate Learning from Error
<p>Learning from error is an adaptive process that allows us to correct mistakes, update knowledge, and make better choices. Yet, humans do not always learn from error— motivation, emotion, prior beliefs, and individual differences can all influence learning and memory. In this dissertation, I …
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Invariant learning for learning in the wild
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01
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Machine Learning Methods for Learning Genetic Dependencies
… to identify SL pairs automatically using machine learning. We build on a recently developed class of feature learning kernel machines known as Recursive Feature Machines (RFMs) to develop a pipeline for identifying SL pairs based on CRISPR viability data from DepMap. In particular, we first train …
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Causal Structure Learning through Double Machine Learning
Learning the causal structure of a system solely from observational data is a fundamental yet intricate task with numerous applications across various fields, including economics, earth sciences, biology, and medicine. This task is challenging due to several reasons: i) observational data alone, as …
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A Learning Object Model For Electronic Learning
… teaching, but also allow open electronic learning for distance and continued education. These multifaceted roles can be realized only if the course content and the related content management system are versatile enough to be captured into any individual's learning needs. Many studies have …
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Learning to design learning through design : service design and experientially acquired entrepreneurial learning
… practice of Service Design in Entrepreneurial Learning, or the creation of knowledge that supports shaping and managing new ventures. It is supported by an empirical investigation spanning a pilot study and two case studies in the contexts of enterprise education for nascent entrepreneurs and …
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