I am very passionate about training students in educational data science and have developed a series of workshops and training materials for learning Python and R. I enjoy teaching various courses in our undergraduate Education Sciences program as well as the statistics course in our PhD program.
My main line of research focuses on using learning analytics to better understand student achievement in technology-enhanced and online STEM courses. Another area of my work involves using cognitive theories of learning to understand how students study, and whether using effective study strategies (spacing, self-testing) promotes learning in STEM courses. My final line of work focuses on college students’ critical thinking abilities, especially in the context of reading misleading and fake news.
Prior to my faculty appointment, I was a postdoctoral scholar in the Digital Learning Lab, where I managed the NSF-funded project, Investigating Virtual Learning Environments. Before coming to UC Irvine, I worked at WestEd where I helped schools make data-driven decisions that improved learning outcomes in classrooms.
I received my master’s degree in Developmental Psychology and my Ph.D. in Educational Psychology from the University of Michigan. I was also a fellow at the International Max Planck Research School on the Life Course while at Michigan.
I received my B.A. in psychology from California State University, Northridge (CSUN), and I owe much of where I am today to the great faculty there and to the NIMH-COR training program that helped support my development as a scholar.