Learning Loss: What You Need to Know


Learning loss has become a hot topic as students emerge from virtual learning. This has lead to many discussions around how to address and respond to it. We want to address how to measure learning loss in this post and perhaps more important, how to measure learning recovery.

What is the best measurement of learning loss?

Learning loss cannot be ascertained from a singular standardized assessment. Instead, districts need a more integrated approach. To holistically measure learning loss, a district needs to be able to articulate and prioritize which are the most important skills that students need to master. These skills are foundational and without their mastery, students will struggle to build upon them in the future. It is important for districts to be able to understand the mechanics of how to measure learning loss and recovery. 

Can your district answer these three questions?

  1. Have you identified and communicated the priority foundational skills that students need?
  2. Do you have a process in place to monitor progress of these skills and to determine mastery?
  3. Do you have have an MTSS system in place to support students that are behind in mastery of foundational, grade appropriate skills?

The P4R approach

P4R addresses this with a singular platform that can be easily implemented for any size district. Our platform enables districts to take their standards and skills out of binders and digitally categorize and identify priority, foundational skills. District-wide, common assessments can be created and linked to the skills for analysis and assessment skill mastery. P4R’s early warning system and MTSS module help students that may benefit from additional supports to help learn and master foundational skills. 

Looking for more resources?

Renaissance Focus Skills™ has research and resources to address the “COVID-19 Slide” by focusing on the most critical reading and math skills at every grade level.

View our solutions map to see how our system works. We can easily implement a single module or the entire platform.