Dr. Brigid Barron

Professor

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Biography

Brigid Barron is a developmental psychologist who studies the processes of collaborative learning in educational settings. Her research focuses on interest-driven learning, emphasizing the role of digital technologies as catalysts for collaborative learning in home, school, and community contexts, aiming to create equitable opportunities for development and expertise. One of her theoretical goals is to articulate the conditions that lead to the diversification of a child's learning ecology, enhancing engagement through varied learning activities across different settings. Her current projects encompass longitudinal documentation of learner pathways, examinations of families in technology-supported learning teams, and investigations into the role of personal learning networks in sustaining interest-driven learning. Additionally, she is the founder of YouthLAB at Stanford and co-leads the TELOS initiative, which aims to investigate how technology can provide more equitable access to learning opportunities. Dr. Barron is also the lead researcher of the NSF-funded LIFE Center, focusing on the social foundations of learning within diverse communities and contexts.

Research Interests

Experience

Professor

1996-01-01 — Present

Graduate School of Education, Stanford University • Stanford, California

Teaching and researching educational methods, focusing on collaborative and technology-supported learning.

Courses

EDUC 366 EDUC 480 EDUC 180 EDUC 490 EDUC 190 EDUC 140 EDUC 185 EDUC 470 EDUC 380 EDUC 342 EDUC 291

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.