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IEP

Child Find and Universal Screening for the 2026-2027 Cycle: Using Comprehensive Diagnostics as an Early Identification Tool for Incoming and Transferring Students

Child Find and Universal Screening for the 2026-2027 Cycle: Using Comprehensive Diagnostics as an Early Identification Tool for Incoming and Transferring Students Top 3 Key Takeaways 1. Misalignment of Standard Screeners: Traditional benchmark tools utilize broad, grade-level-only scaled scores that fail to isolate foundational skill deficits. This leads to weak instructional placement, slow

By |2026-07-16T17:21:51+00:00July 16th, 2026|Education Reform|0 Comments
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Demystifying the Science of Math: A District Leader’s Guide to Personalized Math Acceleration

Demystifying the Science of Math: A District Leader's Guide to Personalized Math Acceleration Top 3 Key Takeaways Faltering National Math Achievement Requires a Pedagogical Pivot: Stubborn math achievement gaps demand a transition toward the "Science of Math," which prioritizes explicit instruction and foundational skill hierarchies over traditional discovery-based inquiry. Strand-Level Generalizations Stall Learning

By |2026-06-16T21:48:10+00:00June 16th, 2026|Math Assessment|Comments Off on Demystifying the Science of Math: A District Leader’s Guide to Personalized Math Acceleration
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Operationalizing ESY with Grounded SDI and Contextual AI: A Roadmap for District Leaders

Operationalizing ESY with Grounded SDI and Contextual AI: A Roadmap for District Leaders Top 3 Key Takeaways Timeline Compression Requires Uncompromising Diagnostic Accuracy: With state policy shifts allowing compressed 15-day Extended School Year schedules, school districts can no longer afford to waste instructional days on trial and error placements.    Safe AI Grounding Solves

By |2026-06-16T20:35:40+00:00June 10th, 2026|Artificial Intelligence (AI)|Comments Off on Operationalizing ESY with Grounded SDI and Contextual AI: A Roadmap for District Leaders
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The 85% Efficiency Gains: Using AI to Draft Amazing IEPs

The 85% Efficiency Gains: Using AI to Draft Amazing IEPs The special education infrastructure in the United States is currently navigating a period of transition, characterized by a structural imbalance between the rising number of students requiring services and a diminishing pool of qualified educators. As of the 2024-2025 school year, over 7.5

By |2026-06-16T20:36:16+00:00May 28th, 2026|Artificial Intelligence (AI)|Comments Off on The 85% Efficiency Gains: Using AI to Draft Amazing IEPs
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Re-engineering Special Education Workflows from Diagnostic Data to Contextual AI

Re-engineering Special Education Workflows from Diagnostic Data to Contextual AI Top 3 Key Takeaways The primary ethical and operational crisis in special education is not the introduction of artificial intelligence; it is the systemic failure to provide teachers with precision diagnostic data at the foundational level of Individualized Education Program (IEP) development. While

By |2026-04-28T18:55:31+00:00April 28th, 2026|Artificial Intelligence (AI)|Comments Off on Re-engineering Special Education Workflows from Diagnostic Data to Contextual AI
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Progress Monitoring That Actually Supports Instruction

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.

By |2026-04-27T17:24:59+00:00April 27th, 2026|Math Assessment|Comments Off on Progress Monitoring That Actually Supports Instruction
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How AI Helps Special Educators Keep Up During IEP-Heavy Months

How AI Helps Special Educators Keep Up During IEP-Heavy Months Top 3 Key Takeaways AI reduces IEP workload by automating data collection, progress monitoring, and reporting, giving special educators more time for instruction. Diagnostic platforms like Let’s Go Learn provide IEP-ready data instantly, aligning assessment results directly to goals and present levels. AI-powered

By |2026-04-08T19:28:16+00:00April 1st, 2026|Artificial Intelligence (AI)|Comments Off on How AI Helps Special Educators Keep Up During IEP-Heavy Months
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What Is Transition? A Clear Guide for Educators

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

By |2026-04-01T20:13:41+00:00April 1st, 2026|Special Education|Comments Off on What Is Transition? A Clear Guide for Educators
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Using AI to Strengthen IEP Workflows for Special Education Teachers

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

By |2026-04-08T19:28:28+00:00March 31st, 2026|Artificial Intelligence (AI), Special Education|Comments Off on Using AI to Strengthen IEP Workflows for Special Education Teachers
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How to Write a Strong IEP Plan Using Real Data

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

By |2026-04-08T19:28:42+00:00March 19th, 2026|Artificial Intelligence (AI), Special Education|Comments Off on How to Write a Strong IEP Plan Using Real Data
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© Copyright 2026 - Let's Go Learn, Inc. All Rights Reserved.  DORA: Diagnostic Online Reading Assessment, ADAM: Adaptive Diagnostic Assessment of Mathematics, DOMA:Diagnostic Online Math Assessment, Let's Go Learn, LGL Edge, and Let's Go Teach are registered trademarks of Let's Go Learn, Inc.
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