Katherine Simeon - Learner-centered teaching for the non-traditional data science classroom
Channel: csvconf
Date: 30/05/2020

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 & 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.

Katherine Simeon presenting on behalf of herself, Diya Das, & Angela Li

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csv,conf,v5 is a community conference for data makers everywhere, featuring stories about data sharing and data analysis from science, journalism, government, and open source.  Held May 13-14, 2020, Online. https://csvconf.com/