Home > Projects > Personalized Explanation

Personalized Explanation


Different students are likely to get different levels of learning outcome even if they receive the same prompt or message. For example, although there is a large body of academic literature showing that students learn better when they write explanations of the concepts they are learning, some of them might not be affected in the real world because they rush to finish their problem set without time to reflect. In the personalized explanations project, we design randomized experiments to examine what educators should tell students in what context to improve their learning and engagement. We then apply contextual bandits to tailor students’ experience on online education systems. We embed this system in the University of Toronto’s PCRS online learning system.

Relevant Papers