Abstract
Orientation: Education trends in Africa indicate that key ingredients for effective education are elusive, impacting the teachers who need to remain productive, motivated and healthy in this environment.Research purpose: Using machine learning active learning technology, the study aimed to review current literature related to the factors affecting the capabilities and functionings of secondary school teachers in sub-Saharan Africa (SSA).Motivation for the study: The Capability Approach (CA) provides a framework for studying the sustainable employability (SE) of teachers, including what they require to be able to convert valued opportunities into the needed achievements.Research approach/design and method: A systematic literature review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, using Machine Learning Active Learning Technology. Eighty six articles from 14 SSA countries were included for analysis, prioritising articles in the South African context first.Main findings: Analysis identified four groupings of resources that are potentially useful or valuable, creating access or empowerment if utilised effectively, namely knowledge commodities, soft commodities, hard commodities, and organisational commodities. Sub-resources were also identified.Practical/managerial implications: This research would assist policy and decision-makers to focus their interventions in the most effective way to sustain productivity and well-being in the workplace. The resource groupings should be included in a model that focuses on enhancing secondary school teachers’ capabilities to promote their well-being and productivity.Contribution/value-add: This article provides new applied knowledge related to machine learning active learning technology as a methodology, and provides further insight into secondary school teacher employability.
Subject
Organizational Behavior and Human Resource Management,Demography