Data-Driven Case Studies: Using Program-Specific Data to Develop Case Studies for Preservice Teacher Education

• In Event: Roundtable Session 17
  In Roundtable Session: Studies of Professional Practice in Preservice Teacher Education

Abstract

In this era of data driven decision making, teacher education programs need to prepare preservice teachers to use data while also modeling data driven practices in our own programs. Research has demonstrated the effectiveness of using case studies to promote critical thinking, the analysis/interpretation of data, and higher order thinking. This study used program specific survey data to develop relevant case studies to be used in our coursework. Three primary issues were identified including, 1) balancing teaching and graduate school 2) issues with the critic teacher and 3) engaging/motivating students. The theoretical and practical value of creating case studies based on program specific challenges, and examples of the case studies that were generated from this data will be shared.

Authors

• Heather Meyer Reynolds, SUNY Empire State College

• Amanda J. Wagle, Empire State College - SUNY