One potential approach toward developing technology that supports
online education is to utilize effective teacher techniques
such as questioning students to encourage self-explanation,
varying content order or presentation speed, and reviewing
content with students in order to create personalized educational
experiences. Using this model, we propose a novel
solution by designing a computer-based education system,
incorporating adaptive content review technology, which monitors
student attention during initial lesson presentation and
determines in real time the optimal review topic for the student
(Figure 1). This design is implemented in a prototype system
and evaluated in an experimental lesson scenario to determine
how adaptive content review might affect actual and perceived
student learning.