Establishes requirements concerning methods for determining whether child has specific learning disability under federal Individuals with Disabilities Education Act.
The proposed changes in A1194 reflect a significant shift from existing practices mandated by the New Jersey State Board of Education, which requires the use of traditional metrics for identifying SLD that critics argue can be outdated and ineffective. By prohibiting the severe discrepancy model, which has been criticized for failing to identify many children who are in need of special education services, A1194 aims to promote more accurate identification methods that align better with current research and best practices in education. The bill is set to take effect immediately, with specific regulatory frameworks to be developed by the State Board of Education.
Assembly Bill A1194, introduced in the New Jersey Legislature, aims to revise the criteria for determining whether a child has a specific learning disability (SLD) in accordance with the federal Individuals with Disabilities Education Act (IDEA). This bill proposes that the State criteria should not rely on a severe discrepancy between a child's intellectual ability and academic achievement, which has been a point of contention among educators and child psychologists. Instead, it encourages methods that assess a child’s response to scientific, research-based interventions and allows for other alternative research-based procedures to be considered in evaluations.
Supporters of the bill, including various education advocates and professionals working with children, argue that the elimination of the severe discrepancy criterion will reduce hurdles for students who may be underdiagnosed and ensure they receive timely and appropriate interventions. Conversely, there are potential concerns from some education administrators about the practicality and implications of implementing new methodologies, as school districts will need to familiarize themselves with these guidelines and adjust their evaluation processes accordingly. This could require additional training and resources, raising questions about funding and implementation feasibility.