Exploring breathwork paradigms of South African singing education lecturers

Subjects: “…Singing education…”
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The role of traditional storytelling in the teaching and learning of isiNdebele in Grade 3

Subjects: “…Teaching and learning using folktales…”
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South African unit standards for sight-singing, realised in a multiple-media study package

Subjects: “…Sight-singing…”
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Credit scoring using machine learning : an application of deep learning

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Continual Learning for Enhancing Personal Assistants Using Machine Learning

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Challenges in the Use of E-Learning Technologies for Teaching and Learning at Universities of Technology

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Financial forecasting using machine learning by Addai, Solomon

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Video classification using deep learning by Newman, Gregory

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A framework for using experiential learning theory to develop game-based learning by Odendaal, Danel

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A learning design framework for active learning using audience response systems by Faasen, Marinda

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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…We propose a somewhat unconventional approach, where we tackle the modeling complexities using deep reinforcement learning, particularly suitable for problems that generate a sequence of decisions in dynamic environments. …”
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Using the Internet communication tools to facilitate learning

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Determining the nature of free will using machine learning by Hall, Siobhan

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Sepsis detection using biomarkers and machine learning

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Investigation into the use of learning analytics in online learning at South Africa's higher education institutions by Molokeng, Palesa Maralitle

“…This study aimed to understand the state of LA at HEIs in South Africa (SA) by identifying barriers of use as well as future potential of the use of LA in informing decision making, predicting learner outcomes and improving the overall learning and experience. …”
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The spatial learning method : facilitation of learning through the use of cognitive mapping in virtual reality by Johns, Cathryn

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Cloud spot instance price prediction using NN regression

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Deep adaptive anomaly detection using an active learning framework by Sekyi, Emmanuel

“…Results on the MNIST, CIFAR-10 and Galaxy Zoo datasets show that our algorithm, Ahunt, significantly outperforms other anomaly detection algorithms used on a fixed, static, set of features. Ahunt can therefore overcome a poor choice of features that happen to be suboptimal for detecting anomalies in the data, learning more appropriate features. …”
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