DESCRIPTION
Using the right data to impact instructional strategies is essential for increasing student performance. And, putting that data to work in a data-driven decision making model can translate to positive impacts in the CTE classroom. This updated resource explores the various aspects of data-driven improvement in instruction and specifically targets the importance of gradient objective credential data and the importance of disaggregation highlighted in Perkins V. With concepts and how-to examples, this tools provides helpful information for secondary, postsecondary and adult educators.

TOPIC
New Titles, ACTE Best Sellers