Online Teaching Assistant's improve Student Outcomes & ROI

Concurrent Session 3

Brief Abstract

How the Institute for Statistics Education has effectively used TA’s to deliver a quality curriculum in data science at low cost.


Peter Bruce is Founder and Chief Academic Officer of The Institute for Statistics Education at He is the developer of Resampling Stats software (originated by Julian Simon in the 1970's), and has also taught resampling statistics at the University of Maryland and in a variety of short courses. He is the author of "Data Mining for Business Analytics", with Galit Shmueli and Nitin R. Patel (Wiley, 3rd ed. 2016; JMP version 2017, R version 2018, Python version 2019), "Introductory Statistics and Analytics" (Wiley, 2015), and "Statistics for Data Scientists", with Andrew Bruce, (O'Reilly 2016). He serves on the American Statistical Association's Advisory Committee on Professional Development, and is a Series Editor for Cambridge Press.

Extended Abstract

Automation & AI can only take institution's so far in restructuring higher ed, there will always be a role for humans. The Institute for Statistics Education will present its experience, spread over 10 years, of how treating Teaching Assistant's as a business process has helped improve the effectiveness of the teaching process, improve student outcomes and boost ROI.

The specific aspects that we will touch upon are:

  • Reduce the burden on the instructor, allows us to recruit top people
  • Rapid turnaround on homework grading
  • Provide different tiers of TA support
  • Homework grading
  • Offer junior/senior instructor model
  • Serve as instructor in some cases
  • Facilitate Institute control over the whole instructional process