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

TL;DR

This study demonstrates that machine learning can significantly enhance human learning and memory retention, with optimized study sessions leading to longer-lasting recall and increased app engagement.

Contribution

The paper introduces a large-scale randomized trial showing machine learning's effectiveness in improving learning outcomes and user retention in educational settings.

Findings

Learners with ML-optimized study sessions remembered content 67% longer.

ML-optimized sessions increased likelihood of app return by 50%.

Study confirms ML's potential to enhance human learning and memory.

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 $\sim$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 $\sim$50% more likely to return to the app within 4-7 days.