Understanding science teachers’ use and integration of ICT in a developing country context

Subjects: “…Learning…”
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Towards an affective pedagogical model for teaching English language and literacy to migrant learners by Mafandala, Mbembi Joel

Subjects: “…Learning Contexts…”
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Learning from failure in the context of business rescue

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Exploring experiential learning in the context of organisational competitiveness

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The "educationally disadvantaged" student : factors impacting upon conceptions of learning and perceptions of learning contexts by Cliff, Alan Frank

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Waiting to learn : an analysis of instruction in four preschool settings in poor contexts by Jowell, Justin

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Exploring impulsivity within the entrepreneurial context

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Micro-Credentials, Employability Skills, and Lifelong Learning in ODL Contexts: Practical Insights

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E-learning tools for enhanced teaching and learning of IsiNdebele in a rural context

Subjects: “…Rural Context…”
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An experiential learning process for the advancement of previously disadvantaged employees in an industrial context

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The perceived well-being of undergraduate students in an open and distance learning context

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The role of (de)motivational factors in the context of learning English in South Korea by Zach, Courtney

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Tracking with context by Du Toit, Carlo

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CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments

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Context matters: Why we must consider resources and context when implementing artificial intelligence tools in the teaching and learning of mathematics in South Africa

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Designing and Developing Self-Directed Learning Resources in Open Distance Learning (ODL) Contexts: A Ghanaian Case Study

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Teacher development and change in the context of teaching large under-resourced science classes

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User experiences of learners in technology-facilitated learning in a resource deprived context

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Screening for Proteinopathic-related Dementias in Low-resource Clinical Contexts: A Machine Learning Approach by Lewis, Raphaella

“…The wide-ranging social and economic consequences of PRDs means there is an urgent need for clinical services dedicated to their early and accurate detection, particularly in low-resource contexts. The aim of the present study was to use machine learning techniques to identify a minimum number of clinical variables (neuropsychological test data and vascular risk factor information) required for accurate classification of PRDs in an older adult sample from an LMIC population and to derive a decision tree algorithm that diagnoses these types of dementias. …”
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Literacy education for low-educated second language learning adults in multilingual contexts: the case of Luxembourg

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