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
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
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,
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
Why January Is the Perfect Time to Reassess Students Top 3 Key Takeaways The New Year offers a natural reset—academically and emotionally—for students and educators alike. Midyear assessments reveal growth and gaps in learning that fall data alone can’t show. Adaptive assessments like Let’s Go Learn empower teachers with actionable, instruction-ready data.
End the Semester Strong with Let’s Go Learn Top 3 Key Takeaways A strong end-of-semester plan reduces stress for both teachers and students, making transitions smoother. Let’s Go Learn (LGL) automates essential tasks—diagnostics, progress monitoring, and data reporting—so you leave for break knowing your students’ learning paths are ready for January. Efficient assessment
