Abstract
The proportion of short and non-standard contract jobs has risen over the years and workers are frequently moving in and out of work, facing a more fragmented career than before. These trends have raised concerns on the training participation of workers in these jobs as they are less likely to train than workers in permanent jobs. This is against a backdrop where many economies are undergoing structural changes with an increase in the share of high skilled jobs which requires workers reskill and upskill constantly. As such, there has been a renewed interest in the provision and use of Individual Learning Accounts (ILAs) among policymakers to raise training participation rates, given that ILAs provide workers with autonomy, allowing them to take ownership of their skills development. This paper investigates the impact of Singapore’s SkillsFuture Credit (SFC), which is a form of ILA, on the training participation of workers with short or non-standard contracts, using a quantitative study which collects job related and training data in Singapore (n=4,333). Findings have shown a higher proportion of workers on contracts have utilised the SFC for work-related training compared to workers in permanent job, providing evidence that the SFC has indeed encouraged such workers to take up training. Further analysis is also being conducted to explore training and workers’ career progression as well as participation in future training.
Author Information
Sheng Yee Zher, Institute for Adult Learning, Singapore
Magdalene Lin, SkillsFuture Singapore, Singapore
Paper Information
Conference: ACEID2023
Stream: Adult
This paper is part of the ACEID2023 Conference Proceedings (View)
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To cite this article:
Zher S., & Lin M. (2023) The Impact of Singapore’s SkillsFuture Credit on Training Participation ISSN: 2189-101X – The Asian Conference on Education & International Development 2023 Official Conference Proceedings (pp. 639-646) https://doi.org/10.22492/issn.2189-101X.2023.52
To link to this article: https://doi.org/10.22492/issn.2189-101X.2023.52
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