This short, anonymous survey will take appx. 10-15 minutes to complete. It is for students at the University of Oklahoma, and also for students at other schools who want to participate. The purpose of this survey is to gather student responses about Canvas data practices so that student perspectives can be part of the ongoing discussion about data use at Instructure, Canvas's parent company.
Specifically, this survey focuses on Instructure's use of grades and other student data in Canvas to create "predictive algorithms," formulas that predict a student's future performance in school based on that student's past performance in other classes. As news about these predictive algorithms emerged over the past year, there were objections to Instructure using student data to develop these products without obtaining permission from students first. In addition, there were concerns about who would be able to see these predictions of students' future performance.
In response to these concerns, Instructure has created the position of "Chief Customer Experience Officer," and one of this person's duties will be to review Instructure's existing data use policies. This survey is a chance for you to share your perspective as part of that review process.
The Yes-No questions below are on a scale so that you can indicate how strongly you feel about your answers, ranging from a strong no to a strong yes or somewhere in-between.
This survey was prepared in February 2020 by Laura Gibbs, an Instructor at the University of Oklahoma, and the survey will be available until Monday, March 9. If you would like to see the results of this survey when it is completed, you can sign up for a notification here: SurveyResults.LauraGibbs.net
Thank you for your help in bringing student perspectives to this discussion!