PI: Professor Dr. Christoph Meinel

Abstract

After adapting and conducting several design thinking Massive Open Online Courses (MOOCs), the research team will contextualize the collected data and gather further qualitative and quantitative data on online learning experiences. They will analyze that data and consolidate their recommendations in a framework for learner-centered online course design. This framework will serve as a basis for a design canvas template and a pilot Masterclass for online course instructors.

After adapting and conducting several design thinking Massive Open Online Courses (MOOCs), the research team contextualized their collected data with a qualitative data set of 12 MOOC design expert interviews and 5 MOOC design novice interviews. They analyzed the data and consolidated their recommendations into a model for online course design. This model will serve as a basis for a design canvas template and a pilot Masterclass for online course instructors. Among many surprising aspects, the research team found that there is little instructional design advice for MOOCs yet although the demand by novice MOOC designers is large, and while many MOOC designers have found their standard operating procedures, there is a lot of discussion and change regarding best practice for success measurements, modularity, and successful assessments.