Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively
release_fmhaogmhjzdl5k2jtorz3o3jaq
by
Utkarsh Upadhyay and Graham Lancashire and Christoph Moser and Manuel Gomez-Rodriguez
2020
Abstract
Machine learning has typically focused on developing models and algorithms
that would ultimately replace humans at tasks where intelligence is required.
In this work, rather than replacing humans, we focus on unveiling the potential
of machine learning to improve how people learn and remember factual material.
To this end, we perform a large-scale randomized controlled trial with
thousands of learners from a popular learning app in the area of mobility.
After controlling for the length and frequency of study, we find that learners
whose study sessions are optimized using machine learning remember the content
over ∼67
alternative heuristics. Our randomized controlled trial also reveals that the
learners whose study sessions are optimized using machine learning are
∼50
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