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.
From Data to Action: Using Midyear Assessments to Drive Instructional Decisions Top 3 Key Takeaways Midyear assessments act as instructional checkpoints, helping educators recalibrate teaching strategies before the end of the school year. Actionable diagnostic data reveals the “why” behind student performance, not just the score. When assessment data is paired with planning,
Powerful Mid-Year Assessment Strategies Top 3 Key Takeaways Mid-year assessments are only powerful when the data leads to action. The interpretation of trends and gaps is more important than the score itself. Targeted instructional adjustments—small and strategic—can accelerate growth before the end of the year. Digital diagnostic tools like Let’s Go Learn’s provide
Integrated Academics and Behavior Top 3 Key Takeaways Behavior challenges often signal academic skill gaps, not motivation problems. Early, data-driven assessment allows educators to align instruction and behavior supports effectively. When students experience academic success, positive behavior follows. As a new semester begins, educators are focused on setting expectations, building relationships, and
