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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Optimizing learning & teaching on paediatric ward rounds by Mantzor, Savarra

“…Based on the findings from this study, a structured bedside teaching model, specifically SNAPPS, offers a holistic approach to maximize learning and teaching, addressing several learner and environmental needs concurrently. …”
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Applying the Seven Principles of Learning to Development Communication by Abd El Ghaffar, Lina

“…The suggested paradigm is more audience-centric than the current dominant paradigm and more structured than the current participatory paradigm. The suggested learning paradigm builds its conceptual model around the development communication campaign audience’s internal and external factors that directly influence their decision making. …”
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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning by Wolpe, Zach

“…We were able to successfully predict the subjects' behaviour in this task by fitting a Bayesian Reinforcement Learning model, alluding to the mechanics of the latent biological decision generating process and executive functions. …”
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Multimodal one-shot learning of speech and images by Eloff, Ryan

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Factors influencing success in adult learning on learnerships

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Die gebruik van ’n leerbestuurstelsel in die ontwerp van kentekeninhoud vir ’n jeugbeweging

Subjects: “…Learning Management System…”
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Social entrepreneurs’ conceptions of incubator-based learning

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

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The contextual nature of learning in community schools in Lusaka

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Secondary school teachers’ experiences of learning support by Hannah, Julia Elizabeth

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Machine learning for antenna array failure analysis by De Lange, Lydia

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

“…This work seeks to answer the question, can we deform these features so as to make the anomalies standout and hence improve the anomaly detection outcome? We employ a Deep Learning and an Active Learning framework to learn features for anomaly detection. …”
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Information communication technology as a cognitive tool to facilitate higher-order thinking

Subjects: “…Constructivist learning…”
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Mining the Microbial Treasure Trove: Multitasking Deep Learning Framework for Functional Discovery of Novel Prokaryotic Argonaute Proteins in Metagenomes by Kazlak, Ahmed Mohamed

Subjects: “…Deep learning…”
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Student views on early clinical learning experiences by Bray, Farahnaz

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Accelerating deep reinforcement learning for autonomous racing by Evans, Benjamin

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Application of machine learning with electroencephalography in seizure detection. by Volschenk, Andre Daniel

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Adaptive games for learner and systems (bidirectional) learning by Von Leipzig, Tanja

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A critical reflection on the production of this deadly air we breathe (2023) and the use of participatory and expository modes of representation in documentary films with lessons f... by Mohane, Patrick

“…Self-reflection is a critical component of both the creative and research related processes. In addition to learning through the practical process, there could also be learning about, and from the undertaken practical process itself as part of inquiry. …”
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