Deep Knowledge Tracing

N/A

Deep Knowledge Tracing Chris Piech∗ , Jonathan Bassen∗ , Jonathan Huang∗‡ , Surya Ganguli∗ , Mehran Sahami∗ , Leonidas Guibas∗ , Jascha Sohl-Dickstein∗† ∗ Stanford University, † Khan Academy, ‡ Google {piech,jbassen}@cs.stanford.edu, jascha@stanford.edu, Abstract Knowledge tracing—where a machine models the knowledge of a student as they interact with coursework—is a well established problem in computer supported education.…

saved by

• Noah T
• Moritz Wallawitsch

related reading

• The Unreasonable Effectiveness of Recurrent Neural Networkskarpathy.github.io
• [2510.05056] Modeling Student Learning with 3.8 Million Program Tracesarxiv.org
• Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
• On-Policy Distillation - Thinking Machines Labthinkingmachines.ai
• Circuit Tracing: Revealing Computational Graphs in Language Modelstransformer-circuits.pub
• As Rocks May Think | Eric Jangevjang.com
• Andrej Karpathy — AGI is still a decade awaydwarkesh.com
• Pedagogical RL: Teaching Models to Teach Themselves from Privileged Information - Noah Ziemsnoahziems.com
• The Little Book of Deep Learningfleuret.org
• NL.pdfabehrouz.github.io
• Understanding Deep Learningudlbook.github.io
• pdfopenreview.net