Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively

Code

• github.com/Networks-Learning/spaced-selection
  OfficialIn papernone★ 35

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% longer than those whose study sessions are generated using two alternative heuristics. Our randomized controlled trial also reveals that the learners whose study sessions are optimized using machine learning are 50% more likely to return to the app within 4-7 days.

Tasks

Reproductions