Learner-centered teaching for the non-traditional data science classroom

There is considerable variability in how individuals learn computing skills. While many formal courses, both online and in-person, are available to learners, typical methods of learning are acquiring knowledge on-the-job and participating in short-term workshops. While these non-traditional contexts are highly successful, instructors are challenged to capitalize on a limited amount of time and resources, while catering to learners of different backgrounds and experience levels. In this talk, we will discuss how pedagogic research can be applied to computing and programming education in non-traditional settings (e.g., corporate training, 1-day workshops, and one-on-one mentorship). Specifically, we will explore how to modify established learning formats in order to address specific needs of learners. Finally, we will outline best practices to facilitate a collaborative and inclusive learning environment that can motivate both instructors and learners.