Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Deep Knowledge Tracing
Description
This lecture delves into Deep Knowledge Tracing, a model for predicting student learning. It covers the concepts of Recurrent Neural Networks, Hidden Layers, and the Binary Crossentropy Loss function. The instructor discusses the application of AFM, PFA, BKT, and DKT models on educational data, emphasizing the importance of visualizing and comparing their performance.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.