29 Matching Annotations
  1. Jan 2019
    1. some people may have trouble processing the audio from television

      Yes, but there may also be a tech aspect to this too. For example,TV speakers are typically pretty crummy and lo-fi. Plus a lot of programs are mixed for more robust speaker set-ups that many are not using.

  2. Jun 2016
  3. Feb 2016
    1. open learning ecosystem

      Despite my criticisms of Laster's redefinition of open, I am in support of developing open learning ecosystems. This is an important design that needs to be better addressed on a technical level.

    2. We are on the threshold of sweeping change that will make it easier for teachers to teach and students to learn faster and more effectively

      I see this as evidence of technology determinism, which this article is shot through with. This kind of sentiment comes off as if technologies make things better, faster, more efficient for all involved parties, without consequence. It also assumes a consensus around what improved teaching and learning looks like and means. IMO, "efficiency" recalls turn of 20th century industrialist philosophy and rhetoric. In the work of education, I think that we need to ask if efficiency really is always better, and better for who. I am suggesting that in many cases efficiency is better for administrators from a business perspective, but not so for learners.

  4. Dec 2015
    1. In the Dean’s mind, undergraduate research is also part of this continuum. For five years Purdue Libraries has published the Journal of Purdue Undergraduate Research (JPUR).

      Student work included.

    2. The subject librarians work closely with faculty to help them identify open educational resources that they can use instead of requiring students to purchase textbooks.

      Bit of OER work integrated at MIT.

    1. "We're trying to incorporate these best practices as you do the work, not at the end," Gil stressed.

      Good point, easier to incorporate these "open practices" into workflows.

    2. Yet there is a growing recognition that provisions must also be made for the data-analysis software that supports the conclusions.

      Provide for software, not just data. Perhaps there is also a platform stability issue to consider.

    3. GitHub

      Many lessons to learn from this model. I've been thinking a lot about what instructors/educators can learn from this model. Particularly those working in OER.