Response to Intervention in Prekindergarten – Recognition and Response

Recognition and Response (R&R) is a framework for linking assessment to instruction as part of an integrated system. It’s designed to be used with a variety of curricular and assessment approaches that have been validated through research and found to be effective with pre-k children. The R&R design ensures all children receive appropriate and beneficial early education, especially children who may need additional supports for learning. This tiered model for providing high quality instruction and targeted interventions that are matched to the learning needs of 3-5 year-old children include three essential components:

Recognition - involves screening all children and periodically monitoring the progress of some who require targeted interventions in early language, literacy, or math;

Response - provides an effective core curriculum and instruction and the use of targeted interventions linked to assessment to support children’s learning; and

Collaborative problem-solving - offers a process for teachers, parents, specialists, and others to make informed decisions based on assessment results to plan and evaluate instruction/interventions at all tiers.

Core Early Childhood Beliefs Shaping RTI in Pre-K

Early Childhood Practices Providing Starting Points for Pre-K RTI

Holistic view of child development (i.e., cognitive, communicative, social–emotional, motor, and language)

Focus on quality child care settings

Importance of early intervention to enhance the child’s success

Use of tiered service delivery models

Importance of providing supports, services, and evidence-based strategies in naturalistic settings

Learning standards that guide instruction

Critical contributions of parents and families to the success of the child

Use of intentional teaching methods that include embedded and explicit instruction

Need for multi-dimensional authentic assessments that can identify the child’s strengths and needs over time

Emerging use of progress monitoring measures and data driven decision-making models