RSS 1.0Data Driven Decision-Making
Data Driven Decision-Making is a collection of practices for using data to drive the decisions that improve programmatic approaches to both P-12 and higher education teaching and learning. This is achieved through the use of test and cohort data, trends in student response and selection, and the use of cross-sector Professional Learning Teams (PLTs) to utilize data to inform programmatic/curricular revision and pathways for improving student success and achievement.
Recent Submissions
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Getting Your Teacher Candidates Excited About Data Driven Instructions Through Experiential Learning (Webinar PowerPoint)
(SUNY Teacher and Leader Education Network Webinar Series, 2015-06)This presentation focuses on building a culture of data driven instruction by modeling a collaborative approach to viewing and analyzing data to plan appropriate instruction. -
Getting Your Teacher Candidates Excited About Data Driven Instructions Through Experiential Learning
(SUNY Teacher and Leader Education Network Webinar Series, 2015-06)This presentation focuses on building a culture of data driven instruction by modeling a collaborative approach to viewing and analyzing data to plan appropriate instruction. -
Professional Learning Teams - Using Data to Inform Instruction
(2015-04)A series of presentations from different disciplines on how to utilize a process for examining student data to inform instruction. -
Using Data Protocols to Inform Teacher Preparation Curriculum
(2014)Model for using data to support high-quality teacher preparation. Topics include developing collective knowledge of key professional learning communities and the role of data in developing that knowledge.
