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  <title>MATRIX · StudentSim</title>
  <link>https://derekwang2002.github.io/ai-intelligence/en/projects/studentsim/</link>
  <description>Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations.</description>
  <language>en</language>
  <lastBuildDate>Mon, 02 Nov 2026 16:56:00 GMT</lastBuildDate>
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    <title>StudentSim evaluates AI tutors with personalized learner simulations</title>
    <link>https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261012-03/</link>
    <guid isPermaLink="false">ev-20261012-03-published</guid>
    <pubDate>Tue, 13 Oct 2026 16:05:06 GMT</pubDate>
    <category>New</category>
    <category>TRIAL</category>
    <description>&lt;p&gt;Microsoft Research released StudentSim, a framework that learns personalized student simulators from historical interactions and uses them to evaluate AI tutoring guidance. The paper studies 60 learners across chess, second-language learning and mathematics. The public repository includes the framework and chess data path, while other domains require separate data extraction and some evaluation paths require model API access.&lt;/p&gt;&lt;p&gt;Recommendation: TRIAL&lt;/p&gt;&lt;p&gt;Sources: &lt;a href=&quot;https://www.microsoft.com/en-us/research/blog/studentsim-a-framework-for-evaluating-ai-tutors-with-personalized-student-simulations&quot;&gt;StudentSim: Evaluating AI tutors with personalized student simulations&lt;/a&gt; · &lt;a href=&quot;https://github.com/microsoft/StudentSim&quot;&gt;Microsoft StudentSim repository&lt;/a&gt; · &lt;a href=&quot;https://arxiv.org/abs/2609.01591&quot;&gt;StudentSim paper&lt;/a&gt;&lt;/p&gt;</description>
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