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To e-learn or not to e-learn: an investigation into the efficacy, efficiency and effectiveness of converting compulsory staff training from classroom to computer
Published 2015“…The in depth literature review of e-learning implementations, success factors and barriers to adoption is followed by the discussion of the research philosophy and objectives. …”
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When UTAUT2 meets design thinking mindset: Exploring e-learning champions? Adoption of blended learning at EMU
Published 2025“…This research contributes to a local understanding of the factors motivating lecturers' uptake of blended learning. Thus, to boost blended learning uptake, institutions should not only focus on Facilitating Conditions such as technological infrastructure and staff training, but also create a less pressured and more empathetic environment where lectures feel at ease with what they do not know, are presented with a modest but steady adoption process, and where educational technologies contribute to the improvement of their work-life balance. …”
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Deep learning for tabular data : an exploratory study
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Small-scale distributed machine learning in R
Published 2023“…In this way, more complex machine learning is more accessible. …”
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Applying the Seven Principles of Learning to Development Communication
Published 2022“…The suggested paradigm is more audience-centric than the current dominant paradigm and more structured than the current participatory paradigm. …”
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The multiplicative reasoning proficiency of learners with learning difficulties
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Using the Internet communication tools to facilitate learning
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Adaptive games for learner and systems (bidirectional) learning
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Investigation into mathematics instruction for learners with learning difficulties
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Grade 9 learners' opportunity to learn algebra
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Learning from collaborative explanations in accounting education
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Factors in the measurement of cognitive load of multimedia learning
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Machine Learning Applications to Static Timing Analysis
Published 2022“…Autoencoders achieved ~1.7x compression ratio for complex rising-edge current waveforms. However, SVD remains more computationally efficient than Autoencoders. …”
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Optimizing learning & teaching on paediatric ward rounds
Published 2024“…Bandura's Social Cognitive Theory asserts that an individual's perceptions of his/her self-efficacy influence not only their ability to learn knowledge and skill, but more importantly, influences their ability to act utilizing that knowledge or skill. …”
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Social entrepreneurs’ conceptions of incubator-based learning
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Deep adaptive anomaly detection using an active learning framework
Published 2023“…Ahunt can therefore overcome a poor choice of features that happen to be suboptimal for detecting anomalies in the data, learning more appropriate features. We also explore the role of the loss function and Active Learning query strategy, showing these are important, especially when there is a significant variation in the anomalies.…”
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Learning to teach : communication skills in teacher education
Published 2015Get full text
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