Positioning emergent professional learning as catalyst for meaning making in agile work praxis

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Quality assurance practice in the provisioning RPL (Recognition of prior learning)in higher education

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Latent approaches for unsupervised learning-based methodologies in gearbox fault diagnosis applications

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Contact improvisation as a foundational learning tool for contemporary performers : singular complexity by Prigge-Pienaar, Samantha

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Cellists’ experiences of learning and teaching body mapping for musicians: an interpretative phenomenological analysis by Reyneke, Amalia

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Learning biblical hebrew vocabulary : insights from second language vocabulary acquisition by Thompson, Jeremy Paul

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Perceptions of the learning environment by medical students at a new medical school in Nigeria by Obadeji, Adetunji

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Exploring inquiry-based education in a professional learning programme for science teachers by Van Graan, Danelda Celeste

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Semi-supervised machine learning for livestock threat classification using gps data by De Swardt, Urs

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A holistic approach to central auditory processing, language abilities and sensory integration in children with learning disabilities

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Exploring the transition from conventional to progressive learning environments in tertiary architectural education : a spatial strategies approach in South Africa

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Developing an instrument to measure the strategically innovative environment of life insurance organisations in Southern Africa

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Training Feedforward Neural Networks with Bayesian Hyper-Heuristics

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The reform of solid waste management in Cairo: Lessons learned from international models by El Mahdy, Hoda

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Student success in an introductory engineering course : an investigation of approach to learning and cultural capital by Setlogelo, Disaapele Gleopadra

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School management and the development of professional learning communities : a comparative case study by Ritchie, Carol Jean

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A study of learning, knowledge and processes of reflection within the worker education project by Abrahams_N, Nazli

“…The results showed that the women learned from their experiences and through social participation in union activities, and that learning did not comprise only of hard skills, but that the women learned about themselves through processes of reflection. …”
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Machine learning methods for individual acoustic recognition in a species of field cricket by Dlamini, Gciniwe

“…Mel-frequency cepstral coefficients (MFCC), raw acoustic samples as well as two temporal features were extracted from each chirp in the cricket recordings and used as inputs to train the machine learning models. The raw acoustic samples were only used in the deep neural network (DNN) models (CNNs and RNNs) as these models have been successful in training other raw forms of data such as images (for example, Krizhevsky et al. (2012)). …”
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