Research Areas
Explore the research areas that our faculty study in the Graduate School of Education.
Digital Innovations
Associate Professor
Counseling, School and Educational Psychology
Learning and Instruction
253 Foster Hall, South Campus
Buffalo, New York 14214
Phone: (716) 645-1127
Email: sunhakim@buffalo.edu
Research Areas: Curriculum and Instruction; Big Data; Access and Equity; Achievement; Assessment; Digital Innovations; Digital Media and Learning; Diversity; Design and Analysis of Longitudinal Research; Design Experiments; Mathematics Education; Educational Policy; Immigrant Issues; Evaluation; Gamification; Large-Scale Assessment and Research; Race, Inequality, and Education; Psychometrics; Online and Distance Learning; Professional / Staff Development; Quantitative Research Methods; Research Design; Research Methods; Statistical Methods and Applications in Statistical Issues; School and District Reform
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
Professor
Learning and Instruction
Dean's Office
Research Areas: Curriculum and Instruction; Early Childhood Education; Elementary Education; Child and Adolescent Development; Cognition; Digital Innovations; Digital Media and Learning; Diversity; Curriculum and Instruction; Design Experiments; International Education; Literacy; Gender, Culture, and Equity; Global Issues; Immigrant Issues; Ethnography; Science Education; Learning Communities; Multimodality, Embodiment, and Digital Literacy; Qualitative Research Methods
Assistant Professor
Counseling, School and Educational Psychology
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