Joo Young Lee
Visualizing Student Data for Instructional Decision-Making
Using the case of a student with specific learning disabilities, participants in this session will explore how to make instructional decisions in mathematics by exploring student data through visuals. Participants will learn how to visualize student data (example: graphing) and discuss strategies for interpreting the results. If possible, please bring your laptop — you will have the opportunity to practice visualization and interpretation.
Supporting Clear and Concise Math Language
This session will focus on the importance of using clear and concise mathematical language in the classroom, as well as strategies for supporting elementary students in developing their math language skills. Participants will discuss examples and non-examples of math language use and explore evidence-based practices for teaching mathematical vocabulary to students from diverse academic and cultural backgrounds.
Joo Young Lee is an Assistant Professor of Special Education in the College of Education and Human Development. Her research centers on evidence-based practices that enhance students’ mathematical problem-solving and reasoning in inclusive settings. Her recent work has utilized various quantitative research methods to validate mathematical writing interventions and assessments for students with learning disabilities and difficulties, with a particular emphasis on mathematical language development. Prior to her current position, she served as a postdoctoral researcher in teacher education at the University of Maine.