Renee Carney

Canvas X: On-Track Predictor, May 2018

Blog Post created by Renee Carney Administrator on May 29, 2018


Canvas X is where we seek your input on experiments from our secret pandaworks lab!

It's all about starting small, measuring, and learning our way forward!


As a teacher you may want to know, “Which of my students are going to do well?”, “Which of my students should I reach out to sooner rather than later?” and “What do I reach out to them about?” In an effort to simplify teaching the Canvas X team has created the On-Track Predictor aimed to address these questions.

 



We are looking to gather evidence of a general interest in an on track predictor (or early alert if you will). We’d also like to know if teachers and administrators would perceive our On-Track Predictor as useful for decision making and action taking. Finally, we want to know if this feature would actually get used.

Because feedback and data are core to our development process, we are reaching out to the community and looking for interested educators. The current version of On-Track Predictor is experimental—iteration is expected—it is very early in the process.

Right now, we are looking for educators willing to participate in a test experiment. If you participate, you (the instructor) would receive a weekly report via your Canvas Inbox for four weeks. Any teacher that enables this in their course(s) will provide us with insight into its usefulness and ease of use. Your course may be a good fit for this experiment if it falls into one or more of the following criteria:

  • Blended or fully  courses
  • History of teaching the same course in prior semesters
  • Have a course this term
  • Make use of multiple assignments throughout a course



Have questions, comments, or feedback? Leave it below.

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