Designing Teamwork Strategies Through Social Network Analysis
CHE-JEN CHUANG1 AND JENG-JONG LIN2,3,+ 1Department of Airline and Transport Service Management 2Department of Tourism and Leisure Management 3Department of Information Management Vanung University Taoyuan, 32061 Taiwan E-mail: jjlin@vnu.edu.tw+
This study aims to develop a decision-making approach to help instructors be more effective in selecting appropriate individuals as teammates in the same group to engage in learning together. The social network analysis (SNA) technique is employed to extract the implicit social relationships between each student and any of the other students in the class. The search mechanism based on a genetic algorithm (GA) is developed to find several feasible solutions of organized members for groups under consideration of the acquired relationship measures by SNA and an optimum teammate selection can be effectively achieved. Besides, a simulation based on the SIR model is applied to find the team network topology is of a better knowledge transfer performance than the original one (i.e., without splitting students into groups for learning). An application showcases the developed deci-sion-making approach is of good efficiency and is a promising way to help enhance the capability of an instructor in classroom management while teaching.