Our work centers on three interrelated areas: data science, data-driven design, and STEM education. We explore the potential for immersive technologies to help learners understand complex and abstract scientific concepts and to advance our understanding of learner behaviors with unstructured and massive data out of immersive technologies.
We examine different analytical approaches of data science in understanding learning in science and investigates data science skills required in science disciplines.
We investigate students' scientific inquiry and collaborative behavior in immersive learning environments by applying methods from learning analytics.
We design technology-enhanced learning environments for STEM learning using data science methodologies.