Weiying Li

Job title: 
Data Science & AI Fellow 2025-2026
Department: 
Berkeley Graduate School of Education
Bio/CV: 

Weiying is a Ph.D. candidate in Learning Sciences and Human Development at the UC Berkeley School of Education, with a Designated Emphasis in New Media. Her research focuses on designing and evaluating AI dialogs that support students in learning complex science concepts and engaging with social justice topics in science, such as food access. She uses mixed methods to investigate how iterative prompt design, developed in collaboration with teachers, can deepen students’ knowledge integration. Her work contributes to the development of responsible and adaptive AI tools for education.

Research interests: 

 AI in Education, Mixed Methods, Learning Analytics, Design-based Research, Equity-Centered Design

Role: 
Data Science & AI Fellow 2025-2026

Topics

Data Visualization topic page, Digital Humanities topic page, Excel topic page, Natural Language Processing (NLP) topic page, Python topic page, Qualitative Methods topic page, Qualtrics topic page, R topic page, Regression Analysis topic page, Research Design topic page, RStudio topic page, Social Network Analysis topic page, SPSS topic page, STATA topic page, Survey Design topic page, Text Analysis topic page

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