Increase data literacy among staff in order to identify students' individual learning gaps and strengths, create an efficient achievement data profile for each student, and make informed instructional choices after each instructional unit
In 2024-25 (Sustainability Phase), San Ysidro SD will be leveraging the power of data analytics and student engagement strategies to raise student achievement, enhance student reclassification rates for English Language Learners, and reduce chronic absenteeism.
Create a Common Data Review Session Protocol integrating the four Data Programs (i.e., Illuminate, MAPS Reading Fluency, ELLevation, PowerSchool Attendance)
Use the Data Review Session (DRS) protocol to measure student levels after each unit of instruction (i.e., Math achievement level, English Language Arts achievement level, MySAEBRS tier level, English Learner proficiency, attendance monitoring)
Digitalize the Data Review Session (DRS) protocol using information from the educational platforms
Train data leads at each school site to assist teachers during the DRS process in pulling data during the Data Review Sessions
Create digital “placement cards” that indicate students' present levels in all units for student placement in the 2024-2025 school year
Measure teachers' data literacy and engagement in the Data Review Sessions through teacher surveys, empathy interviews, and end-of-year surveys
Data Reflection Session (DRS) Protocol - A structured process designed to support educators with data-driven decision-making to improve student outcomes by analyzing performance data and planning instructional strategies
Deep Dive into SYSD's ELA Instructional Design (Part 1; Part 2; Part 3) - A three-part video series that examines the district's instructional design for ELA, including how assessment data drives instructional planning.
Luis Ramos, Director of Educational Services
Jacob Rodriguez, Data Support Specialist