Author: Kelly Shiohira
Published: 2021
Artificial intelligence has produced new teaching and learning solutions that are now undergoing testing in different contexts. In addition to its impact on the education sector, AI is substantially altering labour markets, industrial services, agriculture processes, value chains and the organization of workplaces in particular. Technical and vocational education and training (TVET) contributes to sustainable development by fostering employment, decent work and lifelong learning. However, the effectiveness of a TVET system depends on its links and relevance to the labour market. As one of the major drivers of change, there is a need to better understand the impact of AI on labour markets, and consequently on TVET systems. In certain middle- and higher-income societies, artificial intelligence is already deeply immersed in legislation and governance, policy, state expenditure, the private sector and national economies. In these cases, TVET institutions are presiding over the ‘hollowing out’ of intermediate level skills and the direct integration of AI into education and training. Contrastingly, many TVET institutions have yet to form meaningful or robust responses to technological shifts. Regardless of context, all TVET institutions should develop an understanding of the current and future importance of AI and begin to incorporate its use into their planning. Forward thinking and, where possible, pre-emptive action, will put TVET institutions and their graduates in a position to thrive in the era of AI and contribute positively to economic, social, and individual development.
Author: Kelly Shiohira
A considerable amount of attention has been placed on Artificial Intelligence, its impact on innovations in various sectors, and its implications for the transformation of the workforce and the labour market. Many of the professions that will most likely be affected by labour market transformations brought about by AI are linked with technical and vocational education and training. These changes mean that institutions must offer a changing set of skills – including digital and transversal skills – to students in order to ensure students’ continued employability. An education system which is responsive to labour market demands will incorporate AI both in its own systems and in the education and training provided to students. This report captures the outcomes of the virtual conference on the future of TVET teaching and learning that took place from 11 to 15 November 2019.
Keywords: Training
Author: Rooksana Rajab
Published: 2020
A review of the state of readiness of the post-school education and training sector in South Africa for enhanced data interoperability.
Keywords: Post School Education and Training, PSET CLOUD
Author: van der Berg, S
Published: 2006
Keywords: JET Education Services conferences, School Quality Research Seminar 1, Parental Involvement
Author: van der Berg, S
Published: 2006
Keywords: JET Education Services conferences, Parental Involvement, School Quality Research Seminar 2
Author: Eleanor Hazell
Published: 2024
In 2021, the South African Monitoring and Evaluation Association facilitated an evaluation hackathon that engaged diverse stakeholders in co-creation processes to develop practical solutions to address complex problems facing the monitoring and evaluation sector. The event catalysed broad-based ownership and enabled the South African Monitoring and Evaluation Association to coordinate the creative energy, commitment and resources of its members, government and other partners to achieve outcomes that would not be possible to achieve otherwise. The article analyses the co-creation approach adopted for the hackathon across four phases, namely initiation, process design/planning, co-design and development and application/follow-up. A retrospective analysis of the process and results identified eight key elements that enabled or impeded the successful completion of hackathon outputs and their conversion into useful products. These elements are facilitative leadership, purposive stakeholder selection, a well-delimited task, preparation, process facilitation, a valued product, voluntary contributions and further capacity. The lessons learnt provide useful insight for future efforts to generate localised, contextualised responses to evaluation problems.
Keywords: Research paper, Journal
Author: Department of Basic Education
Keywords: ANA data usage project, Annual National Assessments, Error analysis
Author: Department of Basic Education
Keywords: Annual National Assessments, ANA data usage project, Error analysis
Author: Department of Basic Education
Keywords: ANA data usage project, Annual National Assessments, Error analysis