Jennifer Borgioli
A former special education teacher, Jennifer Borgioli joined LCI in 2006, after working for several years as part of a school improvement team supported by the New York State Department of Education.

Jennifer’s work with LCI focuses on assessment and data analysis. The programs she facilitates are designed to help participants create meaning out of numbers and maximize qualitative data to implement an inquiry cycle that includes multiple measures: from data from standardized state tests to student work samples and teachers' observational notes. Knowing that data analysis can be an intimidating ordeal for schools and teachers, Jennifer's primary goals are to make the experience of engaging in data analysis meaningful, relevant, powerful, and whenever possible, enjoyable and to help directly connect the analysis of data to classrooms and students. Jennifer also assists districts in designing comprehensive assessment systems, paying special attention to ensuring reliability and validity. Her thoughts and work around quality rubrics can be found on LCI's Quality Rubrics wiki.

Published in the fields of data, special, gifted and middle-level education and a Fellow in Communities for Learning, Jennifer is currently working on her Ph. D. in Special Education.