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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.20167/</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/2409.20167/feed.xml" rel="self" type="application/rss+xml" /><item><title>Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information — mentioned by kamranjon</title><link>https://news.ycombinator.com/item?id=43543335</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.20167:43543335</guid><pubDate>Tue, 01 Apr 2025 06:04:09 GMT</pubDate><description>&lt;p&gt;Hi! I can&amp;#x27;t really share the company, but I do love the space and happy to discuss what I&amp;#x27;ve been reading. So the idea of Knowledge Tracing originated, from my understanding with a paper in 1994: http://act-r.psy.cmu.edu/wordpress/wp-content/uploads/2012/1... this sort of introduced the idea that you could model and understand a students learning as it progresses through a set of materials. The concept of Knowledge Components was started, I believe, at Carnegie Mellon and University of Pittsburgh with the Learn Lab: https://learnlab.org/learnlab-research/ - in 2012 they authored a paper…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.20167/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
