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Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT
Published 2022“…Additionally, the dashboard will aim to provide actionable feedback, derived from predictive modelling and course analytics, that positively impacts learning behaviour and identifies factors that the student could most effectively use to leverage their chances of passing and improve academic performance. …”
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Play-Based Learning in Private International Preschools in Cairo: Teachers' Perspectives
Published 2026“…This thesis explores how play-based learning is practiced and contextualized in private, international preschools in Cairo, Egypt through the perspective of teachers. …”
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Not cheating on the Turing Test: towards grounded language learning in Artificial Intelligence
Published 2020Get full text
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Towards a generic film style machine learning analysis framework.
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Readiness of public libraries to deliver information literacy instruction to school children: a case study of a City of Cape Town public library
Published 2025Subjects: “…lifelong learning…”
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Automated quantification of plant water transport network failure using deep learning
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Wearable device localisation and its effect on activity recognition using machine learning
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A decision support tool for implementing machine learning in SME manufacturing companies
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Machine learning for corporate failure prediction : an empirical study of South African companies
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APIC: A method for automated pattern identification and classification
Published 2018“…Machine Learning (ML) is a transformative technology at the forefront of many modern research endeavours. …”
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An investigation into the internal structure of the learning potential construct as measured by the Apil Test Battery
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Machine learning methods for individual acoustic recognition in a species of field cricket
Published 2019“…These results show that individual recognition of the crickets using acoustics can be achieved with great success through the use of machine learning. Moreover, the performance of the deep learning models when trained upon the raw acoustic samples indicate that the feature (MFCC) extraction step can be bypassed; the deep learning machine algorithms can be trained directly on the raw acoustic data and still achieve great results.…”
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Spoken language modeling with discrete units
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Tools for learning: a socio-cultural analysis of pedagogy in early reading competency
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Machine learning approach to radio frequency interference(RFI) classification in Radio Astronomy
Published 2016Get full text
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