Data-driven teachers by Dr. Scott McLeod

        The main purpose of this article was to describe data-driven decision-making (DDDM). DDDM is a method of teaching exercises that helps create better information/data about students for the educators to utilize. To properly conduct the DDDM strategy, one should use five steps/elements.

 

        First, have/create good baseline data, which can be shared with administrators to adjust the curriculum. Next, the teacher should create measurable instructional goals which are specific, measurable, attainable, results-oriented, and time-bound (SMART). Then, the educator should have frequent formative assessments because this type of assessment has been proven to have a greater impact on student learning than many other practices. The fourth element of DDDM is to share the findings with a professional learning community to distribute the results of the data so that educational practices can be significantly improved. Finally, the educator should remain focused on instructional interventions, and remember that short-term goals add up, as do many small improvements.

 

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