Learning from collaborative explanations in accounting education

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When UTAUT2 meets design thinking mindset: Exploring e-learning champions? Adoption of blended learning at EMU by Issufo, Vali

“…This study seeks to understand the factors motivating lecturers to accept blended learning at Eduardo Mondlane University (EMU) in Mozambique, by following a group of three lecturers who have been thriving in adopting blended learning and are eager to support others in their adoption of blended learning as well, designated in the study as "blended learning champions". …”
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Parents’ perspectives of online learning for learners with ADHD

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Deep learning for tabular data : an exploratory study by Marais, Jan Andre

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Knowledge management and the learning organisation in the new economy by De Wet, Ben

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Based on the Dual Pathway of Interaction-Mediated NF-κB in Cell Apoptosis and Immune Inflammation to Study the Effect of Danzhi Xiaoyao Powder on the Learning and Cognitive Ability of AD Model Rats

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Machine learning model based analysis of land use land cover change and assessing its potential impact on surface runoff in meki watershed, rift valley lakes basin, Ethiopia

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An electronic survey of preferred podcast format and content requirements among trainee emergency medicine specialists in four Southern African universities by Ekambaram, Kamlin

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Trends, problems, and solutions in causality and reinforcement learning by Grimbly, St John

“…Although relevant in both model-based and model-free scenarios, focus is placed on model-based modalities where one can view the various models as being causal models. …”
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Evaluating transformers as memory systems in reinforcement learning by Makkink, Thomas

“…Early research into transformers as memory mechanisms for reinforcement learning indicated that the canonical model is not suitable, and that additional gated recurrent units and architectural modifications are necessary to stabilize these models. …”
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Predicting mergers and acquisitions using machine learning by Beckenstrater, Gordon

“…The findings are that all the advanced algorithms surpassed the performance of logistic regression in M&A prediction, signalling a shift from traditional statistical methods to advanced machine learning techniques. LightGBM and the Ensemble model displayed the best performance in M&A prediction. …”
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Reinforcement learning for the control of traffic flow on highways by Schmidt-Dumont, Thorsten

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Grade 9 learners' opportunity to learn algebra

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Learning from failure in the context of business rescue

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Representation learning for regime detection in financial markets by Orton, Alexa

“…Market phase detection for each model is carried out using three data configurations: i.) …”
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Small-scale distributed machine learning in R by Taylor, Brenden

“…Machine learning models generally require large amounts of data to train and thus are computationally expensive, both in the absolute sense of actual compute time, and in the relative sense of the numerical complexity of the underlying calculations. …”
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Influencer Wisdom As A Conceptual Model To Understand Influencer Strategies, Tactics, And Success by Asaad, Mariam Ashraf

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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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