TRIZ-Based Remodeling of Multiple True-False Questions

In light of the COVID-19, medical education is widely transitioning to a fully online mode. This change poses challenges on ensuring valid assessments for medical education. Within the constraints of online assessment scenario, the academic rigour has to be maintained, while at the same time, enabling a remote administration of student learning activities. A TRIZ-based approach has been adopted in addressing this contradiction. We used TRIZ tools such as Functional Analysis, Cause and Effect Chain Analysis, Engineering and Physical contradiction to model the problem. The TRIZ knowledge models, particularly through the recommended Inventive Principles has provided insightful directions as research ideas. This paper then explored a combined validation method based on the assessment activities conducted in the medical faculty during the COVID-19 lockdown. The hybridized TRIZ mode has served as an excellent knowledge elicitation framework for addressing this long-standing problem.