LM101-046: How to Optimize Student Learning using Recurrent Neural

LM101-046: How to Optimize Student Learning using Recurrent Neural Networks (Educational Technology)

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Description

In this episode, we briefly review Item Response Theory and Bayesian Network Theory methods for the assessment and optimization of student learning and then describe a poster presented on the first day of the Neural Information Processing Systems conference in December 2015 in Montreal which describes a Recurrent Neural Network approach for the assessment and optimization of student learning called “Deep Knowledge Tracing”. For more details check out: www.learningmachines101.com and follow us on Twitter at: @lm101talk

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