1 research outputs found
Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task
Resource limitations make it hard to provide all students with one of the
most effective educational interventions: personalized instruction.
Reinforcement learning could be a key tool to reduce the development cost and
improve the effectiveness of, intelligent tutoring software that aims to
provide the right support, at the right time, to a student. Here we illustrate
that deep reinforcement learning can be used to provide adaptive pedagogical
support to students learning about the concept of volume in a narrative
storyline software. Using explainable artificial intelligence tools, we also
extracted interpretable insights about the pedagogical policy learned, and we
demonstrate that the resulting policy had similar performance in a different
student population. Most importantly, in both studies the
reinforcement-learning narrative system had the largest benefit for those
students with the lowest initial pretest scores, suggesting the opportunity for
AI to adapt and provide support for those most in need.Comment: 23 pages. Under revie