Posting Description

DIGITAL LEARNING POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL), to serve as CTL’s research liaison to MITx in terms of innovative educational techniques, best practices across other massive open online courses (MOOCs), improvements to ensuring academic integrity, etc. Will conduct research in data analytics and digital learning at a massive scale; recommend, develop, and apply visualization methods, statistical models, and descriptive analytics techniques to better understand learner behavior across a multi-MOOC-based program in supply chain management (SCM); recommend, develop, and apply machine learning models and other techniques to better categorize learners and build predictive behavior models; implement experiments testing the impact and effectiveness of potential prescriptive interventions to increase the activity and performance of learners; submit and publish papers on descriptive, predictive, and prescriptive analyses in online education; perform data-driven analysis; ensure the development, implementation, and evaluation of new digital tools/assessments; and assist with running MOOCs in SCM.