A conceptual framework for leadership development in the South African police service based on transformative learning theory by Adams, Tania Bernadette

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Exploring health sciences students’ experiences of feedback in a problem based learning tutorial : a case study in an African Medical School by Mubuuke, Aloysius Gonzaga

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…The performance of the asynchronous Q-learning algorithm was compared with that of the conventional Q-learning method in terms of the global cost, stability and scalability. …”
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Tree species identification and leaf segmentation from natural images using deep semi-supervised learning by Homan, Dewald

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An evaluation of the internal validity of specific learning outcomes in phase II of a revised undergraduate medical curriculum by Cilliers, Francois Jakobus

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The didactisation practices in primary school mathematics teachers through modelling by Biccard, Piera

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Grafting serious play : Creating a learning landscape as an educational resource junction for CBD schools in Johannesburg

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Scenario thinking and stochastic modelling for strategic and policy decisions in agriculture

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An investigation into the development of mathematical modelling competencies of grade 7 learners. by Biccard, Piera

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"Concept" and "Context": Toward modelling understanding in Physics Education research by Southey, Philip

“…This dissertation attempts to answer this question by using a variety of theoretical tools to model understanding. We conducted three empirical studies which probed context sensitivity of student understanding of (i) Vector Addition; (ii) The FCI (Force Concept Inventory); and (iii) the learning of the concept of a Mathematical Group. …”
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Using machine learning to understand the link between gene essentiality, gene expression and the chemosensitivity of cancer cells by Mcinga, Kuhle

“…Through rigorous training of machine learning models, drug-response classifiers were devised that demonstrated remarkable predictive capabilities, with the best performing classifier achieving an F1-score of 0.86 and an AUC of 0.85, indicating its effectiveness in drug response prediction. …”
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Using the Herrmann whole brain® model for mentoring academic staff

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An analysis of the performance and interpretability of machine learning classification algorithms to predict long-term share returns on the JSE by Boakes, Jamie

“…However, the outputs of machine learning models are not transparent or interpretable, which limits their usability for real-world decision making. …”
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Self-assessment as a Learning Tool in EFL Writing Classrooms: Perceptions of Egyptian Teachers and Adult Learners by Abdelaziz, Hazim

“…In addition, private language institutions are advised to initiate policy changes that facilitate the incorporation of self-assessment in their instructional models to promote more learning-oriented assessment practices aimed at improving the learning and teaching processes.…”
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A study of the use of e-learning with relation to continuous professional development for tax practioners in South Africa

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Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification by Maponya, Mmamokoma Grace

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Combinatorial evolution of feedforward neural network models for chemical processes by Schmitz, Gregor Peter Josef

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Modelling intermediate care services as part of an integrated care pathway by Wilson, Nicola Ann

“…This study explores the implications of implementing enhanced or redesigned intermediate care initiatives in the Western Cape of South Africa from the 2014/15 financial year onwards. Using a dynamic modelling methodology, we developed an empirical model of an integrated care system to explain the linkages, relationships and interactions among service components and analyse the implications of one of the proposed Healthcare 2030 policy interventions - intermediate care - on hospital admissions, waiting times and length of stay of all patients. …”
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