Research Areas
Explore the research areas that our faculty study in the Graduate School of Education.
Associate Professor
Learning and Instruction
Research Areas: Access and Equity; Engineering Education; Cognition; Curriculum and Instruction; Diversity; Digital Media and Learning; Digital literacy; Cognitive Psychology; Cultural Competence; Educational technology; Educator Preparation; Higher Education; Learning Communities; STEM education; Learning Design; Learning Sciences; Problem Based Learning; Online and Distance Learning; Universal Design; Professional / Staff Development
Assistant Professor
Learning and Instruction
Research Areas: I am interested in understanding how to build research-practice-community partnerships for building equitable learning environments.
Associate Professor
Learning and Instruction
Research Areas: Access and Equity; Curriculum and Instruction; Assessment; Cognition; Curriculum and Instruction; Diversity; Equity and Poverty; ESL/ENL/Bilingual; International Education; Discourse analysis; Gender, Culture, and Equity; Mathematics Education; Educator Preparation; Immigrant Issues; Multicultural Competence; Large-Scale Assessment and Research; STEM education; Race, Inequality, and Education; Racism and AntiBlackness; Social Justice; Multimodality; Problem Based Learning; Standards; Qualitative Research Methods; Quantitative Research Methods; Urban Education
Associate Professor
Learning and Instruction
Research Areas: Curriculum and Instruction; Access and Equity; Assessment; Cognition; Digital Innovations; Digital Media and Learning; Curriculum and Instruction; Diversity; Gender, Culture, and Equity; Global Issues; Science Education; Leadership; Learning Design; Race, Inequality, and Education; Problem Based Learning; Qualitative Research Methods; Urban Education
Assistant Professor
Counseling, School and Educational Psychology
251 Foster Hall, 300 Hayes Road, Buffalo, NY 14214
Buffalo, New York 14260
Phone: 7166451130
Email: yilangzh@buffalo.edu
Research Areas: Educational data science; data science education; computational research methods; mixed research methods; natural language processing; machine learning; artificial intelligence in education; design-based research; constructionism