Socially Shared Metacognitive Regulation (SSMR) in a Simulation Game Environment: Antecedents, Strategies, and Outcomes

Grant Name
Applied Learning and Innovation Grant (ALIGN)

Abstract

This project investigates the use of socially shared metacognitive regulation (SSMR) strategies by undergraduate business students engaged in a simulation-based learning environment. While SSMR strategies have been documented in collaborative learning contexts, their application within simulation games remains underexplored. To bridge the gap between theoretical knowledge and practical application in investment education, we implemented the Applied Business Simulation Trading (ABST) Game, which leverages Bloomberg to simulate real-world trading scenarios. Despite this experiential approach, students often struggle to transfer conceptual understanding into practice. This study examines the extent to which students employ SSMR strategies during gameplay, the factors influencing their use, and the impact on learning outcomes. 

Team Members
Senior Learning Analyst
Dr Kenan Kok Xiao-Feng
Singapore Institute of Technology
Associate Professor
Dr Pearpilai Jutasompakorn
Singapore Institute of Technology
Assistant Professor
Dr Phoebe Gao Fei
Singapore Institute of Technology
Professional Officer
Mr Sunny Soh Zhi Yuan
Singapore Institute of Technology