This whole exchange produced immensely valuable pedagogical exchanges that will probably be useful to others for years/decades to come! Thinking crazy thoughts now about borderless classrooms / MOOCs / learning communities 1/n
Importantly, the q came in an unexpected "package" (in terms of demographic and form), a beautiful thing in terms of diversifying how qs can be asked and by whom:
To me this shows the exciting potential of broadening access, not just for students, but *to* students and also *to* educators (and yes, students will also be co-educators!). 4/n
I have a personal stake in this as a #firstgen college student and academic from a non-Ivy-league background, who has immensely benefited from, basically, Twitter as open MOOC, even now:
But I recognize my experience is colored. There are substantial dangers of opening things up to *everyone*. Bad actors are real, foibles can be amplified, little design decisions have outsized impacts. Is a reality of massively open (to all) ed systems desirable or feasible? 6/n
Not even sure it's that different from existing work in online education, learning at scale, (thinking of @chinmay, @houshuang, @bod0ng, @hqz, @imjuhokim, and many others I'm definitely missing). But if it is, what core problems emerge that we need to solve? 7/end
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I get wonderful shared delight from hearing others talk abt deep insights that influence/delight them.
I'm also curious what constitutes "depth" (broad implications, surprise, difficulty, etc.).
Would you share a deep insight that influences/delights you + explain why?
Thought sparked by this snippet from @Noahpinion's interview w/ @VitalikButerin where they get into the reasoning behind the coming switch of Ethereum from Proof-of-Work to Proof-of-Stake:
#Idea - NLP to do initial clustering/classification of altmetric-aggregated discussion of preprints, to facilitate finding high-signal discussions and critiques of preprints (honestly would want this for any paper!).
Preprint servers already hook into @altmetric to expose mentions of a paper in news/blogs + social media (tweets).
But it links to an undifferentiated list of sources (not titles, citation contexts) - good for signaling "attention", missed opportunity to get real context.
If preprint servers have access to commercial API from @altmetric, classifying (and then clustering, enabling searching by) these mentions is eminently doable (e.g., can frame as a straightforward citation context classification problem, like with @scite and @SemanticScholar)
A striking example of "behind the scenes" of great research: Esther Duflo noted that a crucial enabler of her Nobel-prize-winning work was a masterful synthesis of human resource economics in a handbook chapter.
I... think I tracked down the (141-page!!!) handbook chapter?
And it is indeed wonderful!
What a synthesis indeed of a conclusion!
Clearly identifying progress, and also crucial open problems, deeply grounded in a detailed analysis of the literature.
Started as a "short thread", turned into a longer thing. Hope you find it helpful!
There's been some good discussion on effective search as a core primitive for tools for thought, and the limitations of existing tools, such as @RoamResearch wrt search.