"Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young."
- Henry Ford
On October 24, the Institute for Application of Learning Science and Educational Technology (ALSET) at the National University of Singapore concluded a grant agreement with the Workforce Development Applied Research Fund (WDARF) at SkillsFuture Singapore to develop AI-based tools that support course selection and career planning.
The grant will fund a pilot study to prototype an AI-driven recommender system that helps working adults in Singapore to identify courses that support continuing education goals. The study is intended as the initial phase of a long-term initiative by ALSET to research lifelong learning behaviours and policies in Asia.
The pilot study was initiated in June 2018 with the analysis of SSG’s SkillsFuture Credit (SFC) Programme, which offers subsidized courses to all Singapore citizens over the age of 25. Since its launch in 2016, around 285,000 Singaporeans have taken these courses, making it a rich anonymized dataset for course selection and career planning. Researchers at ALSET have worked in close collaboration with SSG, and have fused their expertise and state-of-the-art deep learning based principles to build a course recommender system stemmed from SFC credit claims data.
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