15 Matching Annotations
  1. Feb 2019
    1. Which segments of text are being highlighted?

      Do we capture this data? Can we?

    2. What types of annotations are being created?

      How is this defined?

    3. Who is posting most often? Which posts create the most replies?

      These apply to social annotation as well.

    4. Session Profile

      Are we capturing the right data/how can Hypothesis contribute to this profile?

    5. Does overall time spent reading correlate with assessment scores? Are particular viewing patterns/habits predictive of student success? What are the average viewing patterns of students? Do they differ between courses, course sections, instructors, or student demographics?

      Can H itself capture some of this data? Through the LMS?

  2. Feb 2018
    1. I have been arguing for some time that Caliper should be used as a data interoperability exchange standard between apps that operates through the LTI window

      How does the whole Caliper thing relate to data H might generate?

  3. Nov 2017
    1. And that, in fact, is a pretty good description of the IMS standard in development called Caliper, which is why I am so interested in it. In my recent post about walled gardens from the series that Jonathan mentions in his own post, I tried to spell out how Caliper could enable either a better LMS, a better world without an LMS, or both simultaneously.
  4. courses.openulmus.org courses.openulmus.org
    1. Currently, Canvas and Sakai are the only LMSs reviewed which has somesupport for xAPI (emphasis on some). Blackboard, D2L, Sakai and Canvas all have support for IMS Caliper, a more edu specific format.
  5. Jul 2017
    1. The privacy dashboard discloses to students the learning data being captured about them and how it is being used (such as for research and/or early warning tools).

      Kudos to UCB for starting with user transparency and control!

  6. Dec 2015
  7. Nov 2015