Data-driven decision-making (DDDM) is a difficult topic to cover, but typically required, in the applied educational psychology course or other courses required for teacher licensure in the United States. While a growing body of literature indicates in-service teachers are resistant to DDDM and underprepared to engage in it, little has been done…

This mixed-method study examined the impact of an online formative assessment tool on the language and early literacy skills development of 204 3-4-year-old children enrolled in Head Start. Twenty-four classroom and children participated in a two-group randomized control trial, in which classrooms in the treatment condition implemented weekly…

Data-driven decision-making (DDDM) reform has proven to be an effective means for improving student learning. However, little DDDM reform has happened at the classroom level, and little research has explored variables that influence teacher adoption of DDDM. The authors propose a model in which teachers' sense of efficacy for the skills that…

This study examines how the Change Communication Model can be used to implement a new student information system (SIS) in a school district. The impetus of the study came from government mandates requiring district accountability through data-driven decision making. Data-driven decision making is only possible when student data are collected,…