Course assignments, campus jobs, research, student organizations, community engagement and entrepreneurial work can become part of this architecture when augmented with skill building and reflection.
Rather than replicate the existing black box of credentials that do nothing to meaningfully communicate what they are crednetialing, we can be granular and transparent, thus demystifying the credentials with context that employers understand. Bonus points if some of it is machine readable.
An unreleased research version of Claude has improved on a longstanding lower bound for the fraction of zeros of the Riemann zeta function that satisfy the Riemann hypothesis.
把常数从 41.6% 推到 67.2%，是一次真实的定理推进，但要注意它落在证据谱系里最轻的一档：纯数学、纯符号推演，正确性靠 Lean 形式化自证，不需要任何外部实验或第三方机构复现。和同期用湿实验背书的蛋白结合剂结果不在一个量级，别混着当同一种「AI 做科学」的证据用。
Issuers also have an opportunity to include projects to work on or an assessment so learners can apply and better retain what they are learning. 92% of learners want this but only 34% of issuers offer this.
We know that this is a high impact strategy (applying learning helps students get jobs that pay well) and learners say they want it. Yet only a third of us offer it.
ReconfigBehSci. (2022, January 24). I do think that if we had systematically kept score the quality of the ‘advice’ dispensed on Twitter would have been much better [Tweet]. @i. https://twitter.com/i/web/status/1485592942156951552
Argument quality and fallacies. (n.d.). HackMD. Retrieved January 17, 2022, from https://hackmd.io/@scibehC19vax/argumentquality
ReconfigBehSci on Twitter: ‘there is a literature on arguments from ignorance (viewed from a Bayesian perspective) that can help here, I think https://t.co/tg1Jlrlldg’ / Twitter. (n.d.). Retrieved 3 September 2021, from https://twitter.com/SciBeh/status/1432409133957869572
Fiona Fidler: Misinterpretations of evidence, and worse misinterpretations of evidence (Video). (n.d.). Metascience.com. Retrieved 29 October 2020, from https://metascience.com/events/metascience-2019-symposium/fiona-fidler-misinterpretations-of-evidence/
Scientist, N. (n.d.). How to sniff out the good coronavirus studies from the bad. New Scientist. Retrieved July 1, 2020, from https://www.newscientist.com/article/2242835-how-to-sniff-out-the-good-coronavirus-studies-from-the-bad/
Hahn, U., & Oaksford, M. (2006). A Normative Theory of Argument Strength. Informal Logic, 26(1), 1–24. https://doi.org/10.22329/il.v26i1.428
Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu
Protogerou, Cleo, and Martin S. Hagger. ‘A Checklist to Assess the Quality of Survey Studies in Psychology’, 14 July 2020. https://doi.org/10.31234/osf.io/uqak8.
Nieto, I., Navas, J. F., & Vazquez, C. (2020). The quality of research on mental health effects of the COVID-19 pandemic: A note of caution after a systematic review. https://doi.org/10.31234/osf.io/ndgkj
Communicating statistics, risk and uncertainty in the age of Covid—Prof. David Spiegelhalter. (2020, June 30). https://www.youtube.com/watch?v=Dq7W1l7RptQ&feature=youtu.be