μάθε (v.) - learn!
Pronounced "math-ay" (IPA: /ˈma.θe/)
Mathe is not only an acronym but also from the Greek root having to do with learning. In the Mathe Lab, we:
study mathetics: the art or science of learning. It was first introduced by John Amos Comenius in 1680 as the art of learning (ars discendi) in contrast to didactics—the art of teaching (ars doscendi).
use mathematical models and formalisms to study and improve learning and educational systems. Mathematical models inherently make simplifying assumptions, but they can be used both to foreground our assumptions about learning and to give us new insights.
embrace polymathy. The study of learning is inherently interdisciplinary, and can be approached from different angles. A willingness to explore questions through the lens of psychology, mathematics, artificial intelligence, philosophy of science, history, etc. can lead to new approaches (or a revitalization of old approaches) to thinking about learning.
Below are a list of some of the major ongoing projects in the lab. There are several other interesting projects led by students in the lab!
History of the Science of Learning in Minds and Machines
Faculty
PhD Students
Sina Rismanchian
Peter Liu
Mandy Pan
Ali Kermati
(primarily in Digital Learning Lab)
Daniel Ritchie
(primarily in Digital Learning Lab)
Santiago Ojeda-Ramirez
(primarily in Digital Learning Lab)
Alumni
Christopher Lechuga (UCI PhD, 2023, currently at ALEKS)
Anthony Phonethibsavads (Postdoctoral Scholar, currently at Admissions Masters)
If you are a current student at UCI and are interested in working in our lab, feel free to reach out to doroudis@uci.edu!