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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning to Read through Machine Teaching · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2006.16470/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2006.16470/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning to Read through Machine Teaching — mentioned by tdekken</title><link>https://news.ycombinator.com/item?id=34506919</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.16470:34506919</guid><pubDate>Tue, 24 Jan 2023 17:31:52 GMT</pubDate><description>&lt;p&gt;I would love to! My main goal is to use cognitive modeling to evaluate the efficacy of interventions and inform the personalized &amp;quot;minimum effective dose&amp;quot; for a particular learner. Academically, this is well-trodden territory [0-2] but these results haven&amp;#x27;t found there way into practice. This is critically important because we know that ~30% of children will learn to read regardless of method, ~50% require explicit, systematic instruction, ~15% require prolonged explicit and systematic instruction, and up to 6% have severe cognitive impairments that make acquiring reading skills extremely…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.16470/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
