16 Matching Annotations
  1. Jan 2018
    1. Alta boasts higher student mastery because it ties all assignments to the learning objectives in a course as designed by the instructor. When a student struggles, Alta’s technology diagnoses the issues and delivers instructional content to bridge the student’s knowledge gap.
  2. Dec 2017
  3. Oct 2017
    1. Overall, across the ALMAP trials, adding adaptivity to developmental and gateway courses had no effect on course completion rates after controlling for students’ initial achievement levels under any of the three possible use cases.
    1. A look at the Hype Cycle (see here for Wikipedia’s entry on the topic and for criticism of the hype of Hype Cycles) of the IT research and advisory firm, Gartner, indicates that both big data and adaptive learning have now slid into the ‘trough of disillusionment’, which means that the market has started to mature, becoming more realistic about how useful the technologies can be for organizations.
  4. Feb 2017
    1. we think of it as like a robot tutor in the sky that can semi-read your mind and figure out where your strengths and weaknesses are down to the percentile.

      Perhaps the quote that best demonstrates the hubris of educational technology ventures. See also Michael Feldstein's post.

  5. Nov 2016
  6. May 2016
    1. Both Udacity and Knewton require the human, the learner, to become a technology, to become a component within their well-architected software system. Sit and click. Sit and click.
  7. Jan 2016
    1. There is no single correct way to implement personalized learning

      You mean Knewton isn’t the only way to do things? Or that Knewton will adopt all sorts of different methods?

  8. Dec 2015
    1. Knewton, for example, claims that their system can track students across courses and semesters and test hypotheses about them over time.