This paper considers elementary teachers' perceptions of data-driven decision making (DDDM) through the lens of Dewey's science of education. Dewey argues that educational science can be used to improve teaching and learning, but it must be flexible, attendant to multiple dimensions of growth, and grounded in real classroom experiences with…

The purpose of this mixed-methods study is to examine the outcomes of assessment training for elementary teachers. Only 56% of the surveyed teachers (n = 283) had assessment training in their university courses, compared to 84% that received in-service training. The quantitative results indicate that frequency of assessment training is positively…

Data-driven decision-making (DDDM) refers to the process of using data to inform educational decisions. Due to DDDM's positive effects on student achievement and the pressure for educational accountability, DDDM has become a recent focus of numerous educational policies. However, few teachers fully utilize DDDM. While, broadly, DDDM may use…