10 Matching Annotations
  1. Jun 2021
    1. The impact of this exclusion itself is impossible to measure, but increasing meritocratic inequality has coincided with the opioid epidemic, a sharp increase in “deaths of despair,” and an unprecedented fall in life expectancy concentrated in poor and middle-class communities.

      Are these all actually related to meritocratic inequality? What other drivers might there be?

  2. May 2021
    1. Origin of Lindy's Law or the Lindy effect.

      A discussion of the life expectancy of a comic.

      What they miss here is that it's easier to produce if you're also consuming a lot of material, particularly in a group. The output is proportion to the input, and at the time there was only so much input that one could take in in a much sparser media market in comparison to 2021.

  3. Mar 2021
  4. Feb 2021
  5. Aug 2020
  6. Nov 2018
    1. People learn best when they care about a topic and believe they can master it. This presents us with a problem because most scientists don’t want to program: they want to do science. In addition, their early experiences with computers are often demoralizing, and believing that something will be hard to learn is a self-fulfilling prophecy.

      From the revelations in How Learning Works (p. 79) that value and expectancies drive motivation and how these interact derives from the learning environment, I see that in this situation, we need to build a positive learning environment more via the third and fourth factors listed above (Encouraging learners to learn from each other and acknowledging confusion). Setting learning goals that show the relevance of the coding skills to the learners' future professional existence and our own enthusiasm for the coding, will help us create value and design assessments and activities that are in alignment with the goals. Thus, learners' expectations can be enhanced.