The Workforce Development Applied Research Fund (WDARF), a national-level research fund offered by the SkillsFuture Singapore (SSG), aims to foster high quality and rigorous applied research in skills, workforce development and lifelong learning to support the SkillsFuture Singapore's key thrusts and national-level policies. It encourages inter-disciplinary research and seeks to strengthen research capabilities, through leveraging both local and international expertise. The WDARF Grant Call is administered by the Institute for Adult Learning (IAL) on behalf of the SkillsFuture Singapore (SSG). The grant is awarded through an open, competitive bidding approach, where submitted proposals go through a technical expert review and evaluation, before they are presented to a Research Committee for approval.
Workforce Development Applied Research Fund (WDARF) 2026 Grant Call
The WDARF 2026 Grant Call will be opened for Expression of Interest (EOI) submission from 02 June 2026 to 13 July 2026.
Previous Result
Grant Call 2017
Course Suggestion for Career Planning: Evaluating Strategies to Support Lifelong Learning. A Pilot on Using Analytics to Recommend SkillsFuture Credit Courses
Professor Robert Kamei, National University of Singapore
The aim of this study is to create a recommender system that can help Singaporeans find, select and complete CET programmes that are suited to both their personal strengths and the needs of the broader Singapore economy. It uses both recent artifical intelligence and data mining techniques as well as behavourial science to better understand how and why people pursue opportunities for lifelong learning. The pilot will test and evaluate the quality of its recommendations.
Grant Call 2020
Socio-cultural factors shaping Singaporean Malay-Muslim workers’ decisions regarding employment and training
Dr Mohamad Shamsuri Juhari, National University of Singapore
The project will focus on the socio-cultural dynamics which serve to motivate or inhibit Singaporean Malay/Muslim Community (MMC) workers from actively seeking pathways to enhance their career and work life. It aims to identify and examine specific socio-cultural factors that serve to frame the decision-making processes of working-age adults from the MM community with regards to enhancing their individual career and work life. The project also seeks to recommend solutions to address the challenges posed by these factors.
Grant Call 2020
Socio-cultural factors shaping Singaporean Malay-Muslim workers’ decisions regarding employment and training
Dr Mohamad Shamsuri Juhari, National University of Singapore
The project will focus on the socio-cultural dynamics which serve to motivate or inhibit Singaporean Malay/Muslim Community (MMC) workers from actively seeking pathways to enhance their career and work life. It aims to identify and examine specific socio-cultural factors that serve to frame the decision-making processes of working-age adults from the MM community with regards to enhancing their individual career and work life. The project also seeks to recommend solutions to address the challenges posed by these factors.
Grant Call 2018
Socio-Materials that Matter for Traversing the Boundaries of School and Work
Dr Chue Shien, Nanyang Technological University
• Delineate the social and material affordances that matter for effective internship learning • Explore changing identities of undergraduate students as they cross between boundaries of institutions and the workplace • Design a tool-kit for preparing young adults for learning at the workplace • Provide recommendations on strengthening existing support for continuous learning
Grant Call 2020
Developing personalized Chatbots and evaluating their effectiveness as teaching assistants in adult learning
Dr Miao Huang, Temasek Polytechnic
This project proposes to create an AI teaching assistant using a Chatbot, to assist tutors in providing individualized learning experiences and pathways for their adult learners. The Chatbot will have access to learning analytics information of learners to provide highly customizable content for learners with various needs. For example, for the academically slow progressing CET learners, the Chatbot identifies the domains that require more help and directs them to more relevant and specific resources. The instantaneous and efficient communication allows the learner to be proactive in asking questions, seeking clarifications and assistance on the fly, without the fear of being judged for the quantity or content of their inquiries. The Chatbot can also contain assessment or assignment information to help learners to prioritize their time.
