Virtual patients in massive open online courses--design implications and integration strategies

Massive Open Online Courses (MOOCs) are raising extensive attention across disciplines, while it becomes evident that rethinking of learning designs that work well in these environments is needed. In the field of medical education, where the technology of MOOCs is not widely adopted yet, we wish to investigate the potential offered by virtual patients for the purpose of clinical reasoning skills training. In this paper we describe three use case scenarios employing virtual patients' features in MOOCs: (1) collective evaluation of decision making in the context of uncertainty; (2) collective repurposing of cases and division of discussion into subgroups focusing on local variances in healthcare; (3) division of content in short cases for flexible selection and adaptive learning with virtual patients. We also present technical requirements for implementing the use case scenarios and future work plans.