US Educational Terms Glossary (Garland Green)

A process of making decisions about curriculum and instruction based on the analysis of classroom data and standardized test data. Data-driven decision making uses data on function quantity and quality of inputs and how students learn to suggest educational solutions. It is based on the assumption that scientific methods used to solve complex problems in industry can effectively evaluate educational policy programs and methods.

This is also referred to as "individualized" or "customized" instruction. The curriculum offers several different learning experiences within one lesson to meet students' varied needs or learning styles. For example, different teaching methods for students with learning disabilities.

The presentation of data broken into segments of the student population instead of the entire enrollment. Typical segments include students who are economically disadvantaged, from racial or ethnic minority groups, have disabilities, or have limited English fluency. Disaggregated data allows parents and teachers to see how each student group is performing in a school. (Ed Source)

Using technology such as two-way interactive television teacher and student(s) in different locations may communicate with one another as in a regular classroom setting.