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
End-of-Year Testing: Are You Getting Data You Can Actually Use? Most end-of-year tests measure but don’t guide instruction. Scores alone are not enough to determine what students should learn next. The type of data you collect determines what happens after testing. Broad benchmark data leads to general plans. Diagnostic data leads to targeted
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
The Science of Reading: What Educators Need to Know Top 3 Key Takeaways The Science of Reading is research-based, not a curriculum or a political stance. It’s an interdisciplinary body of evidence about how children learn to read. Effective instruction combines explicit, systematic teaching of foundational skills with language development and comprehension strategies.
What Is The Science of Reading Top 3 Key Takeaways Reading is multi-dimensional – Effective reading instruction addresses phonics, phonemic awareness, vocabulary, comprehension, and spelling in a coordinated way. Data-driven, personalized instruction is critical – Assessments like DORA allow teachers to target individual student needs and provide instructional support at the right level.
