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.
Project Summary by PI hereDeveloping 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.
Project Summary by PI hereNeurophysiological Measures for Task Handling Complexity
Prof Lye Sun Woh, Nanyang Technological University
The proposed project seeks to investigate and possibly develop a new evaluation measure known as the “capability-task quotient” (C-TQ) using neurophysiological characteristics of the operator over a time period when handling various task complexities. The aim is to measure and analyse both short and sustained level of neurophysiological activities and characteristics of the operator over a period of time when handling various task complexities in a certain work environment setting. The results would have potential to reshape how humans are hired, allocated or assessed with regards to a given task or job scope. If market size is an indicator, this would translate into billions of dollars of savings with a more efficient, effective fulfilled workforce with greater latitude to minimise human errors. The type of task learning and training required by the operator can also be enhanced.
Project Summary by PI here
Currently Closed