Joel Beier is a member of the Learning Representations and Technology Lab with Dr. Martina Rau. His research interests include understanding the ways that we communicate with and about visual representations in scientific contexts.
My research focuses on natural language processing techniques, the reliability and validity of automated coding methods, and ways to combine epistemic network analysis and social network analysis.
Doy Kim is a graduate student in the Learning Sciences area of the Educational Psychology department. Doy's research interest is specifically focused on the embodiment approach toward mathematics learning.
I currently work in the Learning Representations and Technology Lab with Dr. Martina Rau where I lead experimental studies on perceptual fluency. My interests focus on adult learning, perceptual fluency, as well as on how implicit and nonverbal feedback affect individual and collaborative learning of representational competencies. I am committed to mentoring undergraduate research assistants using evidence-based mentoring practices.
I am fascinated and intrigued by the possibilities that grounded and embodied cognition suggest for learning, and my research focuses on the design of learning interventions that use our bodies to help underrepresented young people from under-resourced communities learn math better; Specifically, I am investigating how learning activities that utilize different degrees of embodiment facilitate grounding within the instructional theory of concreteness fading, for the STEM domain of geometry.