Resolving the Dyslexia Screening Dilemma: Moving from Rapid Identification to Precision Reading Remediation in District MTSS The Universal Mandate and the Screening Confusion Universal literacy remains one of the most critical challenges in K to 12 education, with national data indicating that approximately 65 percent of fourth-grade students perform below the proficient
Strategic Frameworks for Summer Learning Recovery The educational landscape of 2026 is defined by a fundamental shift in how school districts approach the summer months. What was once considered a period of enrichment or optional remediation has been reframed as a critical window for structural learning recovery and the preservation of academic equity.
Progress Monitoring That Actually Supports Instruction Top 3 Key Takeaways The shift from periodic benchmarks to continuous, granular diagnostics provides real-time instructional support. The "overlay" mechanism bridges the gap between baseline data and daily assessments to ensure substantive compliance. Prioritizing learning acceleration over traditional remediation significantly increases student mastery of grade-level standards.
Getting Ready for End-of-Year Testing: What You Can Do This Week Top 3 Key Takeaways Focus on the biggest gaps, not everything: Use diagnostic data to zero in on the highest-impact skills. Keep practice targeted and low-stress: Short, focused sessions outperform cramming. Use adaptive tools for last-minute growth: Platforms like Let’s Go Learn
What Is Transition? A Clear Guide for Educators Top 3 Key Takeaways Transition is about outcomes, not just compliance: It prepares students with disabilities for life after school–employment, education, and independent living. Effective transition planning starts early and is data-driven: Strong assessments and individualized planning lead to better post-school success. Modern tools like
Using AI to Strengthen IEP Workflows for Special Education Teachers Top 3 Key Takeaways AI reduces IEP workload by automating data collection and analysis, progress monitoring, reporting, and draft writing. Good data needs to feed AI for it to accurately support teachers in developing accurate IEPs and goals for each student. AI-powered platforms
How to Write a Strong IEP Plan Using Real Data Top 3 Key Takeaways High-quality IEPs begin with accurate, student-specific data, not guesswork. LGL’s adaptive diagnostics provide precise present levels to anchor goals. Using the full range of DORA and ADAM sub-tests helps educators write goals that truly match student needs, especially when
Common IEP Mistakes Top 3 Key Takeaways IEP goals often fail when they are vague, not measurable, or not aligned to true present levels of performance (PLAAFPs). High-quality diagnostic data—such as the data produced by DORA and ADAM—helps educators write accurate, standards-aligned, skill-specific goals. Ongoing data monitoring ensures that instruction stays responsive and
How to Create an Effective Individualized Education Program (IEP) Top 3 Key Takeaways Effective IEPs begin with high-quality diagnostic data that clearly defines a student’s present levels of performance (PLAAFP). Tools like DORA and ADAM provide granular, skill-level insights that strengthen goal-setting. Goals must be measurable, standards-aligned, and instructionally meaningful, allowing teachers to
How to Prepare Students for Real Life: The Framework Schools Are Turning to Top 3 Key Takeaways Preparing students for real life requires intentional instruction in daily living, communication, digital safety, career readiness, and self-management, not just academic achievement. LCE 2.0 provides a comprehensive, updated framework that supports the development of independence and
