12 December 2018 4 5K Report

Hi,

when it comes to clustering students to apply diffrent pedagoical approaches by using machine learning/deep learning algorithms,

most of the researches and papers i've found,focus on Intelligent Tutoring Systems, Moocs, or any other digitally based enviromnets.

what i'm trying to do, is testing difftent instructional design models, based on features that can be extracted from a traditional class room,

and not a digital environment.

So my question is this, can you refer me to any papers which include such traits/variables that are important for clustering students in a traditional environment, like age,financial status etc?

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