WDARF Grant Call 2019 Results

 

Four projects from the WDARF Grant Call 2019 were selected for funding support. These projects were selected on the basis of technical merit, expertise of the research team and its potential impact and contribution to Singapore's workforce development and lifelong learning.

 

From classroom training to workplace practice: Understanding workers’ learning motivation, skill acquisition and skill utilisation in the context of Continuing Education and Training (CET)

Dr Lee Ai Noi, National Institute of Education, Nanyang Technological University

 

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.

 

Development and Evaluation of Building Resilience@Work Training among Healthcare Workers

Associate Professor Lau Ying, Alice Lee Centre of Nursing Studies at the National University of Singapore

 

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.

 

Evaluating the effectiveness of digital-game-based learning for professional upskilling

Associate Professor Goh Yang Miang, National University of Singapore

 

This study examines the effectiveness of digital game-based learning (DGBL) through empirical testing of a theoretical authentic learning environment (ALE) model building on a model previously developed by the research team that comprises three factors (task authenticity, knowledge co-construction, and expert modelling) for achievement of surface learning (i.e. knowledge retention) and deep learning (application, re-contextualisation, and innovation). The outcome of the research will be a toolkit for evaluating DGBL and a protocol of designing, fitting and evaluating DGBL for professional upskilling.

 

Enhancing Adult Learning Using a Mobile Micro-Learning Platform With Integrated Nudging Interventions: A Design-Based Research Approach

Associate Professor Oh Lih Bin, National University of Singapore

 

The proposal seeks to provide insights into the design of educational technologies that can trigger automatic cognitive processes for adult learners.  First, adult learner archetypes will be developed by drawing on adult learning theories and literature. Following this, integrated nudging interventions will be designed based on cognitive load theory and nudge theory. Next, the study will validate the effects of tailoring nudging interventions to adult learner archetypes and also assess the impact of the platform on learning outcomes.