Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication
Educational theory has purported the notion that student-centric modes of learning are more effective in enhancing student engagement and by extension, learning outcomes. However, the translation of this theoretical pedagogy of learning into an applied model for medical training has been wrought with difficulty due to the structural complexity of creating a classroom environment that enables students to exercise full autonomy. In this paper, we propose an intelligent computational e-learning platform for case-based learning (CBL) in Medicine that enriches and enhances the learning experiences of medical students by exposing them to simulated real-world clinical contexts. We argue that computational systems in Medicine should not merely provide a passive outlay of information, but instead promote active engagement through an immersive learning experience. This is achieved through a digital platform that renders a virtual patient simulation, which allows students to assess, diagnose, treat and test patients as they would in the real-world.
Bunker, Deborah; Mirbabaie, Milad; and Stieglitz, Stefan, "Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication" (2017). ACIS 2017 Proceedings. 77.