Workforce Development Applied Research Fund (WDARF) Grant

This project broadly aims to apply an opinion dynamics model in the context of adult education. Specifically, it aims to apply an opinion dynamics model to explore motivation and structural factors for taking up lifelong learning courses in Singapore.

Continuous education and training (CET) opportunities available to workers is crucial to ensure a relevant and resilient workforce. Using a three-time point design of data collection, this study aims to examine the influence of individual and workplace situational factors on workers’ learning motivation, skill acquisition and skill utilisation before and after completion of a CET course; and whether a more structured workplace learning context can increase the likelihood of individual skill utilisation.

This research aims to address the psychological barriers that could hinder workers’ motivation to engage in lifelong learning. The study introduces two theoretically novel mindsets as potential solutions to reduce these psychological barriers (i.e. do not believe that they can learn new, different kind of skills, fear of failure). The first is an “expansive growth mindset” (the belief that one can take up and master new, different kinds of skills) and the second, an “experimental mindset” (an orientation towards approaching any problem through iterative experimenting—including generating various possible solutions, trials-and-error, gaining feedback, revising methods based on the feedback and trying again). The team will conduct psychological research on Singapore working adults to measure and test the global efficacy of these mindsets. In Aim 1 (i.e. understanding two important psychological barriers to upskilling and reskilling), the team will design and validate measures of these theoretically novel mindsets, and examine their relation with people’s learning attitudes and motivations. In Aim 2 (i.e. designing and testing mindset interventions to address the psychological barriers), the team will design and test scalable mindset interventions to motivate greater engagement in upskilling and reskilling (e.g. greater uptake of SkillsFuture credits). The findings will contribute to possible solutions to enhance lifelong learning in 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.

This study aims to evaluate the effectiveness of a self-paced training programme (that includes six online sessions, self-monitoring, homework, peer and therapist supports) on resilience, job engagement, intention to leave, employability, and work performance. This study also seeks to explore healthcare workers’ experience of the training programme.