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benefits of diagnostic assessments

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|0 Comments
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Resolving the Dyslexia Screening Dilemma: Moving from Rapid Identification to Precision Reading Remediation in District MTSS

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

By |2026-06-16T20:35:55+00:00June 9th, 2026|Reading Assessment|0 Comments
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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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End-of-Year Testing: Are You Getting Data You Can Actually Use?

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

By |2026-04-14T19:26:49+00:00April 14th, 2026|Math Assessment|Comments Off on End-of-Year Testing: Are You Getting Data You Can Actually Use?
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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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Common IEP Mistakes

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

By |2026-04-08T19:28:55+00:00March 18th, 2026|Artificial Intelligence (AI), Special Education|Comments Off on Common IEP Mistakes
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How to Create an Effective Individualized Education Program

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

By |2026-03-17T19:20:44+00:00March 17th, 2026|Special Education|Comments Off on How to Create an Effective Individualized Education Program
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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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