Opportunities to learn environmental education : a case study of Mpumalanga province

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The lived experiences of environmental education teachers facilitating experiential learning using the CAPS curriculum by Wagner, Keanan Nicole

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Individual and organisational learning and the ecology : factors that influence the direction of learning by Ally, Kutbuddin

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Towards a prospectus for Freirean pedagogies in South African environmental education classrooms : theoretical observations and curricular reflections

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Understanding beneficiaries’ experiences of quality in early learning centres

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Implementation of machine learning to improve the decision-making process of end-of-usage products in a circular economy by Diem, Michael

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Nature-Based Education as a Learning Tool: Unleashing the Power of Nature-Based Education in Egyptian Primary Schools. "The Effects of Outdoor Learning and Open-Air Classrooms on P... by Bekhiet, Nermeen

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Environmental Education as a strategy towards sustainable living for rural communities

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Environmental education for sustainable communities by adult practitioners in a black urban community by Nduna, Joyce Nothemba

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Optimizing learning & teaching on paediatric ward rounds by Mantzor, Savarra

“…Limitations included: over utilization of traditional research instruments and analysis; lack of quality control of the implemented intervention; difficulty in interpreting results; delays in important critical reflections during the project; inability to achieve full collaboration with other department members; and unsuccessful attempt to introduce SNAPPS department-wide. 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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Applications of Machine Learning in Apple Crop Yield Prediction by van den Heever, Deirdre

“…It is, however, challenging because yield is affected by multiple interrelated factors such as climate conditions and orchard management practices. Machine learning methods have the ability to model complex relationships between input and output features. …”
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Optimizing learning & teaching on paediatric ward rounds by Mantzor, Savarra

“…Limitations included: over utilization of traditional research instruments and analysis; lack of quality control of the implemented intervention; difficulty in interpreting results; delays in important critical reflections during the project; inability to achieve full collaboration with other department members; and unsuccessful attempt to introduce SNAPPS department-wide. 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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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…Over the years, the frequency and intensity of wildfires have increased due to climate change, old fire management practices, and other environmental factors [1]. …”
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A comparative review of German and South African environmental law with special reference to pollution control by Schulze, Ekkehard

“…The purpose is to investigate whether the two countries can learn from each other. In the beginning three principles are discussed which have been formative on German environmental law. …”
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Predictive Maintenance in Rail Transportation: An Explainable Machine Learning Approach by Mabaso, Nelisa Zamantungwa Sphumelele

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Efficacy of machine learning and lidar data for crop type mapping by Prins, Adriaan

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Prediction of Distresses in Pavement Networks: A Machine Learning Approach by Kotb, Mahmoud

“…As a result, to ensure effective pavement management, accurate modeling of these different distresses has become essential. Moreover, machine learning models have shown great potential in modeling pavement performance in recent years. …”
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Constructive environmental scanning: A method in creating positive world paradigms for more sustainable alternative futures by Naude, Jan H.

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A hybrid deep learning based algorithm for gamma spectroscopy analysis by Buckton, Calib

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