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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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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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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Model-free intelligent Control for anti-lock braking systems on rough terrain

Subjects: “…Model-free Control…”
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Connecting school leadership to student learning in Cameroonian Presbyterian schools

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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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User Profiling through Zero-Permission Sensors and Machine Learning by ElHussiny, Ahmed

“…We additionally test the minimum timespan needed to accurately profile a user, and test three machine learning models. We find that it is indeed possible to accurately predict the biological gender of a user, given 1-day intervals, and using a support vector machine.…”
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Reconstructing English Studies in South Africa through blended learning by Van der Westhuizen, Millie Elisabet

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Learning for change : youth and niche environments in food system transitions by Metelerkamp, Luke

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An RFI simulation pipeline to help teach interferometry and machine learning by Agbetsiafa, Insight Enya Aku

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