Workforce Development Applied Research Fund (WDARF) Grant

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.

The project aims to develop an Impact Evaluation (IE) protocol to quantify Singapore’s return on investment (ROI) on the Skills Framework and other upskilling initiatives. It considers (1) employers’ recognition of the need for skills, (2) their willingness to pay for skills, (3) how they pay for skills, and in turn, how this impacts (4) productivity, (5) employee engagement, and (6) retention. The proposed IE serves two key purposes. The first is accountability, to ensure that the Skills Framework actually leads to outcomes. The second is learning, to offer an evidence base to improve the effectiveness of the Skills Framework in fostering outcomes of interest.

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.

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.

This study examines what mastery means given the digital disruption and transformation of work through the lens of craftsmanship in the Energy & Chemical and Precision Engineering sectors. It focuses on both accelerating and deepening skills development, with particular emphasis on the role of social learning and workplace learning environments. This is achieved through an ethnographic study, including observations and interviews, of how digital technology impacts the work of technicians in both sectors, how this influences their sense of mastery and, subsequently, how social learning contributes to develop the skills necessary to thrive in digital working environments.