Corporate learning at scale: Lessons from a large online course at Google
Venue
Learning at Scale (2014)
Publication Year
2014
Authors
Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
BibTeX
Abstract
Google Research recently tested a massive online class model for an internal
engineering education program, with machine learning as the topic, that blended
theoretical concepts and Google-specific software tool tutorials. The goal of this
training was to foster engineering capacity to leverage machine learning tools in
future products. The course was delivered both synchronously and asynchronously,
and students had the choice between studying independently or participating with a
group. Since all students are company employees, unlike most publicly offered MOOCs
we can continue to measure the students’ behavioral change long after the course is
complete. This paper describes the course, outlines the available data set and
presents directions for analysis.
