NJCommonGround.org is working to increase the dialogue among stakeholders in New Jersey’s special education system. Online and via E-news – Subscribe Now!
Current Edition
Three Key Steps to a Well-Written IEP
Determining whether a student qualifies for special education—and, if so, designing an effective Individualized Education Program (IEP)—is a careful, data-driven process. At its best, the IEP process is not merely a compliance exercise but a structured way to understand a student’s needs, recognize their strengths, and provide meaningful support. Under the Individuals with Disabilities Education Act (IDEA), schools must ensure that eligible students receive specially designed instruction tailored to their unique circumstances. This process unfolds in three essential steps: evaluating eligibility, writing the Present Levels of Performance (PLP, or sometimes PLEP, or PLAAFP), and developing measurable goals that guide instruction and track progress.
Special Education Basics
Common Ground is sharing a series of basic and important special education topics on the rights, responsibilities, administrative processes, and legal remedies parents and students may encounter, and to which they are entitled.
Feature Articles & Resources
Feature articles • In-depth consideration of current special education topics and practices. • Experienced and authoritative writers. • Resources for parents, teachers, and professionals. • Fostering dialogue among special education stakeholders.
From the Courts & Capitols
Covering legal and legislative developments that shape special education in New Jersey and nationally. • Specific cases from administrative, state and federal courts. • Legislative and administrative policy developments at state and federal levels.
Information Parents & Educators Can Use
By and for parents, teachers and professionals. • Teaching and assessment strategies for specific learning and behavioral challenges • Peer-to-peer advice and experience sharing • Q&As and FAQs for use on the front line • Statistics and data for trend identification.
