Data Driven Decison-Making
NCLB requires schools to make critical decisions regarding instructional and academic services based on data analysis. Collectively and interactively, data informs schools of the impact of current programs and processes on their students so decision-making can occur. There are four types of data outlined in the School Portfolio Toolkit that should be gathered, including: Demographic Data: Describes the school context in regards to school improvement (e.g., enrollment, attendance, drop-out rate, ethnicity, gender, grade level). Perceptual Data: Communicates to schools about student, parent, and staff satisfaction with the work of the school (e.g., perceptions of learning environment, values, beliefs, attitudes, and observations). Student Learning Data: Informs schools which students are succeeding academically and which are not (e.g., standardized tests, norm/criterion-referenced tests, teacher observations, authentic assessments). School Process Data: Provides staff with information about their current approaches to teaching and learning, programs, and the learning organization (e.g., school programs and processes). Source: |
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