Measures that Matter: Rethinking ELL Data Analysis


Kevin Haynes


Atyani Howard


Corning Union Elementary School District is transforming traditional data analysis by triangulating multiples sources of information about students’ literacy, language, and content progress. This model targets root causes for low performance and helps develop evidence-based support strategies for the students who need it most. Come learn about Corning’s journey as we pilot an innovative approach to language data collection, analysis and response, and glean ideas for replication at your school.

[Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.]

Format: Case study
Event Type: Session
Level: Basic Understanding