40 Matching Annotations
  1. Last 7 days
    1. But we no longer live in an age of information scarcity. The lecture is a solution to a problem we no longer have. The challenge for colleges and universities in the twenty-first century is to deliver artisanal-quality learning at an industrial scale. For decades, this has been an impossible dream. Until now.

      Logic: The lecture format of learning was in place to "allow one expert to broadcast information"- which can now happen in a multitude of ways (cue "flipped classroom")- should be supplanted with at-scale personalized learning. This is the best way to scale the Socratic ideal, short of direct expert-to-learner instruction.

    1. In the liberal arts, we often critique capitalism’s exploitative systems, yet we reproduce the same patterns in our own knowledge economy. We externalize the costs of learning and call it normal.

      Great quote here. What does an anticapitalist course design look like?

    2. And here’s the truly jarring part: many of those same publishers are now selling our work again. This time to AI companies without our consent or compensation. I’ve come to label it as academic fracking: extracting value from our intellectual commons, layer after layer, until nothing of public good remains.

      What data are these publishers collecting and selling?

    3. The “fetish” for particular kinds of writing—certain tones, certain sentence structures—reasserted itself, this time through algorithms and bias detection tools.

      Resurfacing our baises through AI

  2. Sep 2024
  3. Jun 2024
    1. the professor released a custom GenAI prompt designed to interact with learners and tutor them on topics from the quiz.

      Advanced ues case: custom prompt that is focused on the assignment!

    2. This time-saving effort allows the instructor to focus time and effort on interacting with learners.

      Optimistic spin: saves time to focus on interaction with learners Cynical spin: GenAI can do my job for me and is putting my very job at stake

    3. Instructor Proxy. In this mode, the GenAI's response is advocating on behalf of the instructor while interacting with learners.

      I'm finding this a little tricky to disentangle from the Instructor Assistant mode, because both are aiming to develop materials for the students. Maybe it's that the Instructor Proxy is focused on output-- creating output that goes directly for the learners, instead of being more instructor-mediated? It isn't that clean.

    4. GenAI is introducing novel ways for learners to interact not only with their peers and instructors but also with autonomous entities

      This is some great framing, because it opens up a new set of questions. * How will interactions between students and instructors change? How might interactions between students and their content change? How might interactions between students and their classmates change? [Is this question even relevant? ]

    1. Then we will need to teach students how to work with AI

      This I think is the endpoint for academic tech/ instructional designers, but how does this happen? Does "train the trainer" work better or integrating IDs/AT staff into the curriculum design process?

    1. It turns out that by adding your assignments to the assignment area, many of these functions of the course management system are automatically activated

      This is the main takeaway from this page, right?

      I think reframing this as... Let GLOW do the work for you! or something like that might work.

    1. Creating a Pages Front Page (Special Instructions)

      This page isn't loading for me. 6/10/24 at 5pm.

      If others have this problem, I suggest making this a link to an external resource. The link works for me.

    1. s clear/consistent navigation, a logical layout, and easily-accessible resources:

      I'd be willing to make an optional deep-dive video into how a structured home page aligns with UDL principles!

  4. May 2024
    1. The end goal is to develop standards for integrating the ongoing ITS research (and other data-backed research streams) into continuous improvement of AI tutors.

      Would these standards be visible to end-users?

    1. But ChatGPT and similar programs are, by design, unlimited in what they can “learn” (which is to say, memorize); they are incapable of distinguishing the possible from the impossible.

      i.e. incapable of reason. Will that change?

    2. On the contrary, the human mind is a surprisingly efficient and even elegant system that operates with small amounts of information; it seeks not to infer brute correlations among data points but to create explanations.

      Concise explanation of how machine learning is different than human learning

  5. Jul 2023
  6. africana-studies.williams.edu africana-studies.williams.edu