1. Monica Adamski

2. is a method of collecting student data in such a way that administrators, teachers, parents and students can accurately asses student learning. Decisions are then made based on the data in order to improve instructional

3.  NCLB-increase student achievement across all socioeconomically boundaries and improve results of “low performing" schools

4.  http://www.youtube.com/watch?v=61qo36w WSx8 http://www.youtube.com/watch?v=61qo36w WSx8

5.  Culture-positive learning behavior  Assessment-questions need to align with the standards  Analysis-Focus on the parts students did correct and incorrect  Action-deciding what is being taught, how it is taught and being assessed

6.  Help align content to standards  Improve curriculum development and instruction  Provide feedback to students  Communicate and motivate student to improve academically

7.  Prevent “one size fits all”  Able to make decisions mid-course to improve the academic success of students  Displays the information of “what students know”

8.  The assessments will not be analyzed and modifications to lesson plans will not be made

9.  Data Driven Instruction http://www.seattleschools.org/schools/madr ona/data_driven.shtml http://www.seattleschools.org/schools/madr ona/data_driven.shtml  Data Driven Instruction (Youtube) http://www.youtube.com/watch?v=61qo36wWS x8 Data Driven Decision Making: A Powerful Tool for School Improvement https://www.erdc.k12.mn.us/promo/sage/i mages/Analytics_WhitePaper.pdf https://www.erdc.k12.mn.us/promo/sage/i mages/Analytics_WhitePaper.pdf