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A critical-hermeneutical inquiry of schools as learning organisations
Published 2010Get full text
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Student perceptions of blended learning interventions in teaching auditing
Published 2018Get full text
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Classification of customer complaints using machine learning algorithms
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The role of tutor development in a flexible learning system
Published 2012Get full text
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Exploration of reinforcement learning algorithms implemented in the Wrapslide environment
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Optimizing learning & teaching on paediatric ward rounds
Published 2024“…Based on the findings from this study, a structured bedside teaching model, specifically SNAPPS, offers a holistic approach to maximize learning and teaching, addressing several learner and environmental needs concurrently. …”
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Intelligent elevator control based on adaptive learning and optimisation
Published 2015Get full text
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Dirty learning : innovative teaching on the World Wide Web
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Exploring assessment for learning in one higher education classroom
Published 2011“…This study aimed at using appropriate measures to conduct research to establish a chain of evidence (forward and backward) by implementing Lincoln and Guba's model for trustworthiness (1985). The conceptual framework for this study was mainly drawn from Race.s spreading ripples model of learning. …”
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Biologically motivated reinforcement learning in spiking neural networks
Published 2023“…I consider the problem of Reinforcement Learning (RL) in a biologically feasible neural network model, as a proxy for investigating RL in the brain itself. …”
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Fruit detection in an orchard using deep learning approaches
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Building identification in aerial imagery using deep learning
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Effects of Trypanosoma brucei brucei on spatial learning and memory
Published 2023“…Studies on the Trypanosoma evansi infection mice model has shown that in addition to the sleep disorder caused by trypanosomiasis disease, learning and memory formation were impaired. …”
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The experiences of learning support unit managers and students in London
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Project Leanness Score: A Machine Learning Approach
Published 2022“…Fifth, training and validating models using machine learning algorithms such as regression, decision trees, and artificial neural networks to predict the schedule and budget performance of construction projects using the factors of the leanness score. …”
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The management of teaching and learning of street children in Gauteng schools
Published 2018Get full text
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Learning industrial descriptions : NLP tasks for acronym expansion
Published 2024Get full text
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