Integrating lecture recording to support flexible learning and responsive pedagogies in a dual mode undergraduate law degree by Prinsloo, Heinrich

Subjects: “…SAMR model…”
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A cortically-inspired predictive coding framework for polyp segmentation

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Role of code-switching in teaching and learning in selected senior secondary schools in Botswana

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Learners' and Teachers' perspectives on the use of code switching in Geography teaching and learning

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Some sociolinguistic aspects of second language teaching and learning of Xhosa by Zotwana, S Z

“…In fact, what Mr Tulliver was saying, was that: (i) language can serve as a mirror of social strata; (ii) language is of great importance in human relations; l (iii) language has variations and that some variations enjoy higher status than others; (iv) people can do many things with words. …”
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Utilisation of assessed losses in South Africa and an overview of some of the lessons to learn from some reported judgments on the topic by Ngalwana, Vuyani R

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An Empirical Study of Automated Machine Learning Python Libraries Using Source Code Analysis

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Stratifying antimalarial compounds with similar mode of action using machine learning on chemo-transcriptomic profiles

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Modelling email traffic workloads with RNN and LSTM models

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Model Averaging Is Asymptotically Better Than Model Selection For Prediction

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Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

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Learning therapy : some reflections on the constraints and dilemmas involved : a case study by Kottler, Amanda

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Challenges to Learning English in Ghana’s Primary Schools: A Case of Some Textbooks

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The development of a model for hybrid teaching and learning in institutions of higher learning in nursing

Subjects: “…Model…”
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Automatic assignment of diagnosis codes to free-form text medical notes by Strydom, Stefan

Subjects: “…Clinical auto-coding systems…”
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Research on the analysis platform of the interactive mode of the collaborative learning group combining spatio-temporal graph convolutional network and YOLO real-time detection

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Extracting failure modes from unstructured, natural language text by Malan, Francina

Subjects: “…Machine learning…”
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Reinforcement learning algorithms to model learning and decision-making in individuals with depressive disorders by Niit, Lizelle

“…I start by giving an overview of the reinforcement learning framework, and detail some of the reinforcement learning models that have been used to understand mental illness better. …”
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Agent-based adaptive e-learning model for any learning management system

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