Data-Driven Decision-Making Processes in Schools: Are Perspectives From Implementation Science Enough?

• In Event: 16.057 - Roundtable Session 5
  In Roundtable Session: 16.057-15 - Innovation and Data-Based Decision Making as Strategies for Instructional Improvement

Abstract

The use of data driven decision making (DDDM) processes is key in many current reform initiatives in schools which apply response to intervention principles to supporting academic instruction and behavior support in schools. The effectiveness of DDDM processes is dependent on how well it is implemented in schools. An implementation science framework (Fixsen et al., 2005) was used to synthesize and evaluate current research on DDDM implementation in schools. Although implementation practices seem to be generally aligned to the framework, a closer look at the existing research revealed gaps with regards to evaluation. The application of critical activity theory to understand these gaps suggests ways to improve implementation and evaluation so that both student and teacher outcomes can be achieved.

Author

• Iris Yu, The University of Kansas