Participants will increase their effectiveness in learning to interpret and apply student data to the classroom and lab instruction and receive strategies for incorporating data into the classroom.Watch Webinar
Jayme joined Carnegie Learning in May 2011 after spending 12 years as a teacher, curriculum specialist and principal with a focus on quality performance and results. As a former Malcolm Baldrige Examiner, Jayme helped school districts improve performance and get sustainable results through an improvement and innovation framework, site visits, and extensive written feedback. As the Senior Manager of School Improvement, Jayme works exclusively with schools utilizing the Carnegie Learning School Improvement and Innovation Model to guide mathematics implementation, professional development and data-analysis. With a focus on data-driven decision making, Jayme helps schools systematically collect and analyze data to guide a range of decisions to help improve the success of students and schools.
Jessica joined Carnegie Learning in July 2012 after spending 7 years as a teacher, Reading First instructor, and Title I and Intervention coordinator with a focus on accountability and improvement of performance and achievement. Working in compliance with federal program requirements, Jessica used a variety of assessments, observations, and data to identify areas in need of improvement and guide reform, assisting in school-wide improvement. As a committee member with the Pennsylvania Department of Education and the Data Recognition Corporation, Jessica has remained at the forefront of the Common Core State Standards Initiative assisting in the development of CCSS assessments and anchors. At Carnegie Learning, she works with schools utilizing the Carnegie Learning School Improvement and Innovation Model to guide and ensure a successful implementation of math curricula and best practices leading to increased student achievement. Using a variety of data measures and reports, Jessica assists schools in analyzing performance and achievement data and identifying key next steps.
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