Creating the conditions for entrepreneurial learning within an inclusive and scalable African business education ecosystem by Hosken, Christopher

“…Online and virtual education technologies, pedagogies and methodologies are explored as the core proponents of these learning experiences. Different models are explored and analysed in their distinct contexts to discover what it takes to create these learning experiences. …”
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Interactive learning through open education resources for physical science Grade 11 learners

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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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SOFTWIRE : an interactive, computer-based system for enhancing learning in electrical engineering using simulation by Geerdts, C D

“…It has the ability to facilitate demonstration of basic concepts, learning of estimation, modular system design, and the use of models in engineering, and group work. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…To address the SDN scalability issues identified by creating a scalable hybrid switching solution using machine learning algorithms. We propose an SDN OpenFlow model switch which collaborate with the traditional switch to represent a scalable framework of Hybrid Routing with Reinforcement Learning (sHRRL). …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…To address the SDN scalability issues identified by creating a scalable hybrid switching solution using machine learning algorithms. We propose an SDN OpenFlow model switch which collaborate with the traditional switch to represent a scalable framework of Hybrid Routing with Reinforcement Learning (sHRRL). …”
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Collection, evaluation and selection of scientific literature : machine learning, bibliometrics and the World Wide Web by Connan, James

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Evaluating the current copyright provisions for the reproduction and dissemination of electronic educational material in distance learning by Lamont, Kim Tracy

“…Some countries such as the Unites States have come to this realisation early and have started to accommodate digitisation of works and distance learning models through the Digital Millennium Copyright Act and the codification of the fair use model in section 107 of the United States Copyright Act.…”
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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods by Razzak, Muhammed T

“…We then investigate active learning in the context of remote sensing. Active learning looks at reducing the number of labelled samples required by a model to achieve an acceptable performance level. …”
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Exploring the relationship between the leadership role of the school principal and ICT integration in instruction and learning

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The architects Atelier : rethinking boukunde's interior spaces

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Creating meaningful learning opportunities for children with Cerebral Palsy in South African rural schools

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Towards a professional learning framework for academics in a private higher education environment by Cronje, Franci

“…Their reflections on professional learning progress on a year’s work conclude in finding that proper orientation and introductions can enhance staff cohesion while the role of academic campus managers as engineers of such cohesion and designing custom-made professional learning initiatives on a campus is pivotal. …”
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Non-racial schooling in selected Cape Town schools : language, attitudes and language learning by Schlebusch, Anne

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A retrospective inquiry into second language use for teaching and learning in a rural school

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Discriminating between forest plantation genera using remote sensing and machine learning algorithms by Higgs, Caley

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An assessment of the teaching and learning environment in Ghanaian Polytechnics under the Tertiary Education Reform Programme by Nutakor, Julius Enyo Kudjoe

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Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification by Youssef, Sarah

“…This data was then used to train, and test 3 different classification models (XGBoost, KNN & SVM) and the outcome was compared accordingly. …”
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