Accessible Assessment: How 9 Sensible Techniques Can Power Data-Driven Reading Instruction

Product Description

Count on the assessment that only counts what really counts

With these nine sensible, essential assessments, teachers can gather all the data they need. We share these assessments and show teachers how to use them across a school year for maximum instructional effect Michael Opitz, Michael Ford, and James Erekson

"Data-driven instruction" is a new education watchword. But today teachers don't have time to collect data about readers that isn't absolutely essential. Accessible Assessment simplifies reading instruction by only counting what really counts.

Accessible Assessment isn't like many of today's complex, time-consuming assessment programs. It combines nine informal techniques into a manageable, calendarized framework that makes sense and drives highly targeted, differentiated instruction. Opitz, Ford, and Erekson help teachers:

• measure only what matters most
• assess with the confidence that comes from a strong research base
• increase consistency and organization across school years, grades, and buildings
• implement predictable assessment structures flexibly
• plan short-, medium-, and long-range instructional goals.

Accessible Assessment can make a big difference for individual teachers, but it's even more powerful for teaching teams or entire buildings. It can bring a new level of coherence to any crucial assessment task, including:

• screening, progress monitoring, and diagnostics for RTI
• assessing for key reading standards (including Common Core)
• sharing information with colleagues, administrators, and parents.

Make assessment count more than ever by counting only what really counts. Count on Accessible Assessment.

Customers Who Bought This Item Also Bought

*If this is not the "Accessible Assessment: How 9 Sensible Techniques Can Power Data-Driven Reading Instruction" product you were looking for, you can check the other results by clicking this link.  Details were last updated on Nov 19, 2024 21:21 +08.