39 Matching Annotations
  1. Jul 2024
    1. The song criticizes the tendency to rush into judgment without fully understanding the underlying problems. It also emphasizes the value of research and seeking out the truth from various perspectives.

      This is basically critical thinking. Which is also my goal for (optimal) education: To build a society of people who think for themselves, critical thinkers; those who do not take everything for granted. The skeptics.

      See also Nassim Nicolas Taleb's advice to focus on what you DON'T know rather than what you DO know.

      Related to syntopical reading/learning as well. (and Charlie Munger's advice). You want to build a complete picture with a broad understanding and nuanced before formulating an opinion.

      Remove bias from your judgement (especially when it comes to people or civilizations) and instead base it on logic and deep understanding.

      This also relates to (national, but even local) media... How do you know that what the media portrays about something or someone is correct? Don't take it for granted, especially if it is important, and do your own research. Validity of source is important; media is often opinionized and can contain a lot of misinformation.

      See also Simone Weil's thoughts on media, especially where she says misinformation spread must be stopped. It is a vital need for the soul to be presented with (factual) truth.

  2. Jun 2024
  3. Aug 2022
  4. Aug 2021
    1. Rogers, J. P., Watson, C. J., Badenoch, J., Cross, B., Butler, M., Song, J., Hafeez, D., Morrin, H., Rengasamy, E. R., Thomas, L., Ralovska, S., Smakowski, A., Sundaram, R. D., Hunt, C. K., Lim, M. F., Aniwattanapong, D., Singh, V., Hussain, Z., Chakraborty, S., … Rooney, A. G. (2021). Neurology and neuropsychiatry of COVID-19: A systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives. Journal of Neurology, Neurosurgery & Psychiatry, jnnp-2021-326405. https://doi.org/10.1136/jnnp-2021-326405

  5. Jul 2021
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  9. Feb 2021
  10. Jan 2021
    1. Weingarten. E., Chen. Q., McAdams., Yi. J., (2016). From Primed Concepts to Action: A Meta-Analysis of the BehavioralEffects of Incidentally Presented Words. Psychological Bulletin 2016 (142) pp 472-497.

  11. Nov 2020
  12. Oct 2020
  13. Sep 2020
    1. Siemieniuk, R. A., Bartoszko, J. J., Ge, L., Zeraatkar, D., Izcovich, A., Kum, E., Pardo-Hernandez, H., Rochwerg, B., Lamontagne, F., Han, M. A., Liu, Q., Agarwal, A., Agoritsas, T., Chu, D. K., Couban, R., Darzi, A., Devji, T., Fang, B., Fang, C., … Brignardello-Petersen, R. (2020). Drug treatments for covid-19: Living systematic review and network meta-analysis. BMJ, 370. https://doi.org/10.1136/bmj.m2980

  14. Aug 2020
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  16. May 2020
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  18. Aug 2019
    1. Moreover, annotation is the agreed upon means of starting and sustaining that conversation.

      With this text appearing on bookbook.pubpub.org being an excellent example of just this. #meta

      I'm sort of hoping for some discussion of Kathleen Fitzpatrick's process behind her book Planned Obsolescence which was released in draft form for open peer review in fall 2009, much like Annotations. It's the first example I can think of a scholar doing something like this digitally in public, though there may have been other earlier examples.

  19. Sep 2016
    1. Research: Student data are used to conduct empirical studies designed primarily to advance knowledge in the field, though with the potential to influence institutional practices and interventions. Application: Student data are used to inform changes in institutional practices, programs, or policies, in order to improve student learning and support. Representation: Student data are used to report on the educational experiences and achievements of students to internal and external audiences, in ways that are more extensive and nuanced than the traditional transcript.

      Ha! The Chronicle’s summary framed these categories somewhat differently. Interesting. To me, the “application” part is really about student retention. But maybe that’s a bit of a cynical reading, based on an over-emphasis in the Learning Analytics sphere towards teleological, linear, and insular models of learning. Then, the “representation” part sounds closer to UDL than to learner-driven microcredentials. Both approaches are really interesting and chances are that the report brings them together. Finally, the Chronicle made it sound as though the research implied here were less directed. The mention that it has “the potential to influence institutional practices and interventions” may be strategic, as applied research meant to influence “decision-makers” is more likely to sway them than the type of exploratory research we so badly need.