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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge Spaces and Learning Spaces · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1511.06757/</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/1511.06757/feed.xml" rel="self" type="application/rss+xml" /><item><title>Knowledge Spaces and Learning Spaces — mentioned by tdekken</title><link>https://news.ycombinator.com/item?id=30521734</link><guid isPermaLink="false">urn:hackerpapers:mention:1511.06757:30521734</guid><pubDate>Tue, 01 Mar 2022 23:57:47 GMT</pubDate><description>&lt;p&gt;Is there a whitepaper that documents how PrepScholar &amp;quot;automatically learns the strengths and weaknesses of each student and creates an individualized learning program through machine learning&amp;quot;? For example, ALEKS [0] is based on the Knowledge Space Theory [1]. [0] https://www.aleks.com/ [1] https://arxiv.org/pdf/1511.06757.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1511.06757/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.CO</category></item></channel></rss>
