Dr. Andrea Disessa

Professor

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Biography

Andrea diSessa is a Professor at the Berkeley School of Education and a member of the National Academy of Education. His research focuses on conceptual and experiential knowledge in physics, particularly in designing flexible and comprehensible computer systems. He is the director of the Boxer Computer Environment Project, which provides an integrated system that enables non-experts, including teachers and students, to carry out a wide range of programming tasks. DiSessa's current work emphasizes student ideas regarding 'patterns of behavior control.' He has served as a Fellow at the Center for Advanced Study in the Behavioral Sciences twice and is a Fellow of the American Educational Research Association. His published works include 'Changing Minds: Computers, Learning, and Literacy' (2000) and 'Turtle Geometry: Computer as Medium for Exploring Mathematics' (with H. Abelson, 1981). He has also edited volumes such as 'Knowledge and Interaction: A Synthetic Agenda for the Learning Sciences' (with M. Levin and N.J.S. Brown, 2015) and 'Computers and Exploratory Learning' (with C. Hoyles, R. Noss, and L. Edwards, 1995). DiSessa has published numerous articles exploring the intersection of cognition, instruction, and educational media.

Research Interests

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.