Regency EF
Arcus Education: Children's Hospital of Philadelphia's Individualized, Quasi-Flipped, Modular, Up-Scaled Education Strategy (304069)
*Sheila Anne Braun, Children's Hospital of Philadelphia
Keywords: Data science, statistics, R, Education, Mentoring
Many of CHOP’s principle investigators and their teams have become interested in R and statistical analysis in R. Arcus Education’s goal has been to create a learning environment where 100% of attendees spend 100% of their time working towards their own goals at their own pace. In our workshops (a) each learner sets their own goals; (b) each learner receives an individualized curriculum based on their specific goals; (c) instructors act as consultants to learners' applications of what they learn to their own projects; (d) success is measured by the extent to which each learner meets their goals. Workshop attendees have highly variable goals, from R basics to machine learning algorithms for genetic data. We are currently measuring the effectiveness of this approach in comparison with a lecture-based curriculum; and we have used R packages such as shiny to scale up this highly individualized teaching strategy and to answer the question, “How can an instructor who has n = many attendees at a workshop create n different curricula based on n different sets of learning goals, while still treating the class as n individuals rather than as a single unit?”