Direct and indirect multimodal few-shot learning of speech and images by Nortje, Leanne

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Evaluation of hope, courage, and love of learning as predictors of academic performance by Klue, Chevonne

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The Process of Transformative Learning in Executive Coaching : a Realist Evaluation

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Phonological awareness and learning to read in Afrikaans : the role of working memory

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An action learning approach to entrepreneurial creativity, innovation and opportunity finding

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Mobile devices in a blended learning environment in higher education

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Effecting organisation change in Eskom by creating a learning environment

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Education leadership learning : the experiences and perceptions of MEder's degree students

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The design and use of an outdoor learning environment for sensory and motor stimulation

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The use of mobile phones to mediate a design experiment in a secondary school

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Enabling organisational knowledge through action learning : an epistemological study by Van Niekerk, Herman J.

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Activities of champions implementing e-Learning processes in higher education

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The use of a Virtual Learning Environment (VLE) to embed library information services in a Blended Learning Environment (BLE) : a University of Pretoria Engineering study

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Exploring how process oriented guided inquiry learning elicits learners’ reasoning about stoichiometry

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Efficacy of machine learning and lidar data for crop type mapping by Prins, Adriaan

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Interpretable machine learning in natural language processing for misinformation data

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Predicting household poverty with machine learning methods: the case of Malawi by Chinyama, Francis

“…Area under the Curve, Receiver Operating Characteristic curve, recall, precision, F1 score, Matthews Correlation Coefficient and Cohen's Kappa scores confirmed the classification models' reliability. The study, therefore, established that poverty can be predicted by open-source machine learning algorithms using a substantially reduced number of features with accuracy comparable to using the full feature set. …”
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Machine learning approaches towards tuning ALICE TRD simulations by Ramraj, Nikhiel

“…It is shown that the optimal parameters suggested by our deep learning models through inference of their performance metrics are not clear and in agreement with that suggested by naive pulse height inspections.…”
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Investigating mentoring as a form of social learning for school principals by Thambekwayo, Musa A.

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