This research investigates the use of Bee-Bot, a programmable robot, to support children with autism. Structured robot-based activities aim to improve communication, social interaction, and purposeful play, while incorporating parent and teacher perspectives to assess long-term developmental and behavioral benefits.

Using longitudinal data from 30,000 South Korean children, this study shows that child abuse significantly increases suicidal thoughts, especially with prolonged exposure. Crucially, strong social connections—such as team sports, supportive teachers, and caring neighbors—dramatically reduce this risk, highlighting social interaction as a key source of resilience.

My PhD explores children’s well-being at ages 10–11 by integrating children’s voices with parent and teacher perspectives. Using child-centred methods, it identifies key influences during a critical transition. The research prioritizes children as experts, informing better measurement, intervention, and long-term understanding of how well-being evolves over time.

This research investigates why children struggle to learn pronouns and why these difficulties vary across languages. Through cross-linguistic experiments and eye-tracking, it shows that pronouns pose an intrinsic processing challenge. Some languages compensate for this difficulty, offering new insights into language development and human learning.

This research investigates how children use the left and right hemispheres for language and spatial reasoning. Using ultrasound while children play custom games, it shows that those with the typical left-language/right-spatial pattern tend to have stronger skills. The findings reveal how brain-activity patterns relate to developmental risks and complex tasks like reading.