Hsiaolin Hsieh is a post-doctoral researcher at the National Student Support Accelerator. Her research focuses on ensuring equitable opportunity and access to learning for multilingual learners. She uses natural language processing and machine learning to analyze complex student dialogic participation in the classroom.
Formally trained in educational measurement and assessment, Hsiaolin has extensive experience in the design, implementation, and evaluation of tests in the K-12 context. As a mixed-methods researcher, she uses qualitative and quantitative approaches to conduct research across (quasi-)experimental and research-practice-partnership settings. Her background in educational technology enables her to examine and leverage alternative tools to assist student learning. Hsiaolin holds a PhD in Education from Stanford University and a Master’s in Learning, Design, and Technology, also from Stanford University.
