Reframing embodied learning in a blended learning environment to facilitate and promote decolonial practices in Graphic Design in Higher Education, South Africa by Du Plessis, Mia

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Violence, primary school learning and development in the Cape Flats township of Mitchells Plain: a case study of exposure to violence and its implications for children's' learning... by Kampfer, Judine Pearl

“…This case study focused on the ways in which their exposure to violence impacts on primary school children's learning and their cognitive and emotional development in two primary schools in the Cape Flats Township of Mitchell's Plain. …”
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The management of teaching and learning of street children in Gauteng schools

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Optimizing learning & teaching on paediatric ward rounds by Mantzor, Savarra

“…Four consecutive types of data analysis occurred throughout the project: qualitative data analysis, quantitative data analysis, mixed methods integration, and critical reflection. …”
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Characterizing the complexity of tabular machine learning classification problems by Erwin, Kyle Harper

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In search of the latent structure of an e-learning practitioner construct

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Using deep learning to classify community network traffic by Matowe, Chiratidzo

“…Numerous studies on traffic classification make use of the Machine Learning (ML) and single Deep Learning (DL) models. …”
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Process drama : affecting the second language learning classroom by Mwange, Sepiso

“…As well as the assumption that Process Drama is a good way to teach language because it creates the space for emotion and cognition to co-exist within the learning space.…”
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Re-cognising teaching and learning in an Ad mathematics programme by Eddy, Neil

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The culture of learning in Khayelitsha secondary schools: teachers' perspectives by Pager, Devah Iwalani

“…This thesis does not attempt to provide an overall analysis of the culture of learning but focuses on the perceptions of one group of people: teachers. …”
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A Machine Learning Model for Octane Number Prediction by Spencer, Victor

“…Machine learning models are data driven with primarily regression and deep learning methods being used in literature as prediction models. …”
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Social and cognitive dimensions of language in the learning of introductory accounting

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Applications of Machine Learning in Apple Crop Yield Prediction by van den Heever, Deirdre

“…The methodology is based on a literature analysis that aims to provide a holistic view of the field of study by including research in the following domains: smart farming, machine learning, apple crop management and crop yield prediction. …”
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Using mediated learning support strategies in psychological assessments

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A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

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