Development of a virtual reality-based learning experience to teach key cellular structures of the mammalian cell. by Laubscher, Heino

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Application of machine learning to retirement fund preservation : identifying significant variables in retirement fund preservation decisions

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Fiscal policy incentives for minerals exploration : what South Africa can learn from the Canadian experience

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Perceptions of Grade 1 teachers in mainstream primary schools regarding occupational therapy for children with learning difficulty

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An exploration of how organisational learning contributes to building change leadership capability : a multiple case study

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

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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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The design of diagnostic reading materials for South African learners in the foundation phase using English as the language of learning

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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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