Our research goal is to connect cognitive development and media technology to explain and support children’s learning.

We have focused on four aspects including (1) examining the impact of media on learning, (2) characterizing individual and contextual differences that moderate or mediate media effects, (3) identifying cognitive mechanisms underlying media-based learning, and (4) connecting computational modeling, data analytics, and digital technology to describe and predict this learning.

To tackle these questions, we employ multiple methods such as experiments, individual difference measures, eye-tracking, and computational and machine learning approaches.

Our current research focuses on children’s curiosity and exploration in the context of interactive media technology.