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 57 for “"human learning"”.
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Computational and Human Learning Models of Generalized Unsafety
… markers of generalized stress impair learning of safe cues in stressful environments. Based on this model, chronic problems inhibiting physiological arousal lead to a heightened perception of threat, which involves experiencing anxiety symptoms without any obvious precipitating …
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Attention and awareness in human learning and decision making
… the modifying role of attention and awareness in human learning and decision making. A series of experiments showed that performance in a range of tests of unconscious cognition can be better explained as resulting from conscious attention rather than from implicit processes. The first three …
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Human Learning-Augmented Machine Learning Frameworks for Text Analytics
… or even better performance compared to humans on many real-world tasks and applications. However, it is still far from reaching human-level intelligence in many ways. Specifically, although AI may take inspiration from neuroscience and cognitive psychology, it is dramatically different …
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Modeling Driver Behavior at Signalized Intersections: Decision Dynamics, Human Learning, and Safety Measures of Real-time Control Systems
… of this study is on drivers' decision dynamics, human learning, and choice behavior in DZ, and DZ-related safety measures. First, influential factors to drivers' decision in DZ were determined using a driver behavior survey. This information was applied to design an adaptive experiment in a …
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An ensemble-based computational approach for incremental learning in non-stationary environments related to schema- and scaffolding-based human learning
The principal dilemma in a learning process, whether human or computer, is adapting to new information, especially in cases where this new information conflicts with what was previously learned. The design of computer models for incremental learning is an emerging topic for classification and …
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The plight of the humanists: a reinterpretation of the battle between the ancients and the moderns
… However, in the seventeenth century the issue of learning and knowledge was a significant issue in the controversy. By 1600, the humanists were well established in the universities and applied the classical world view as an ideal for life. The humanists' emphasis on the classic world view along …
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Design and Implementation of Online Learning Environments
… in the design and implementation of online learning environments. This approach incorporates the principles of human learning as well as the best practices in software engineering. This thesis implements a conceptual model for the design, and it describes how software elements can be …
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Psicopedagogia e aprendizagem: a importância da afetividade como elemento facilitador entre ensinantes e aprendentes
… education as a facilitator in the teaching - learning process, listing positive contributions of affective relations hip between teacher and learner in the learning process. Thus we sought to identify from the theoretical study how affection can influence human learning. Our research is …
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A probabilistic reasoning-based approach to machine learning
This thesis describes a novel approach to machine learning, based on the principle of learning by reasoning. Current learning systems have significant limitations like brittleness, i.e. the deterioration of performance on a different domain or problem and lack of power required for handling …
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Scaling Automatic Question Generation to Large Documents: A Concept-Driven Approach
Assessing and enhancing human learning through question-answering is vital, especially when dealing with large documents, yet automating this process remains challenging. While large language models (LLMs) excel at summarization and answering queries, their ability to generate meaningful questions …
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Human and artificial intelligence acquisition of quantifiers
This paper is concerned with constraints on learning quantifiers, particularly those cognitive on human learning and algorithmic on machine learning, and the resulting implications of those constraints on language identification. Previous experiments show that children attempting to differentiate …
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A multi-agent approach to adaptive learning using a structured ontology classification system
Diagnostic assessment is an important part of human learning. Tutors in face-to-face classroom environment evaluate students’ prior knowledge before the start of a relatively new learning. In that perspective, this thesis investigates the development of an-agent based Pre-assessment System in the …
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A Hermeneutic Composition Pedagogy: The Student as Self, Citizen, and Writer in Dewey, Arendt, and Ricoeur
… Paul Ricoeur. Their hermeneutic understanding of human learning development and motivation towards action are crucial for understanding how to help students become self-reflective, socially engaged members of a free society. While each of these theorists and their views on educational pedagogies …
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Human Olfactory Perception: A Literature Review
… has been wide debate about the degree to which humans are impacted by olfaction. Despite former assumptions that we are dominantly visual/auditory creatures, recent studies suggest that humans are more highly macrosmatic than originally thought. Humans have demonstrated behavioral, …
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Nonparametric Bayesian methods for supervised and unsupervised learning
… solving problems of supervised and unsupervised learning. The first method simultaneously learns causal networks and causal theories from data. For example, given synthetic co-occurrence data from a simple causal model for the medical domain, it can learn relationships like "having a flu causes …
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The Development and Use of a Color Discrimination T-Maze Learning Task in the Zebrafish (<i>Danio rerio</i>)
… utilized in behavioral studies as a model of human learning and memory. The results of a previous study by Colwill, Raymond, Ferreira, and Escudero (2005) indicated that this species is capable of discriminating between colors and learning to respond to an assigned hue at either arm of a …
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A Descriptive Analysis of the Development of the Learning Resources Center, School of Nursing, University of Alabama in Birmingham.
… the realm of reality, it is possible that human learning in the future will likewise have characteristics that most people deem an impossibility today. Tomorrow's learner will demand accessibility to a variety of information relevant to his or her programmed courses of study. According to …
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From predictive to interactive multimodal language learning
The way humans learn the meaning of words is a fundamental question in many different disciplines and, from a computational perspective, an answer to this question could lead to important advances in artificial intelligence. While the details of the learning process are still an open question, what …
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ON COMPUTATIONAL TECHNIQUES FOR EXPLORING PARENT-INFANT DYNAMICS DURING SOCIAL INTERACTION
… in resolving the complex questions regarding human learning. Several well established techniques in cognitive development and image processing are outlined in terms of their importance in bridging the gap between the two research areas. The combined efforts help to formulate new sets of …
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Structured learning and inference with neural networks and generative models
… from being fully satisfying as process models of human learning. This thesis aims to address this state of affairs from both directions, exploring case studies where we make neural networks that learn from less data, and in which we design more efficient inference procedures for generative models. …
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