Richard Capone

About Richard Capone

Richard Capone co-founded Let’s Go Learn in 2000. Let’s Go Learn is a pioneer in adaptive and diagnostic assessments. Capone is the chief technology officer and current CEO at Let’s Go Learn. He led the development teams in creating DORA and ADAM, assessments used by special education departments as well as general school administrators and teachers to support student achievement through powerful granular data. Today, Let’s Go Learn is used in all 50 states as well as internationally. Its solutions include assessment and online instruction that meet the needs of Generation Four educational assessments.

Getting Ready for End-of-Year Testing: What You Can Do This Week

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

By |2026-04-14T20:17:41+00:00April 14th, 2026|Reading Assessment|0 Comments

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|0 Comments

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

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

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

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

How to Prepare Students for Real Life: The Framework Schools Are Turning 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

By |2026-03-03T21:25:03+00:00March 3rd, 2026|Special Education|Comments Off on How to Prepare Students for Real Life: The Framework Schools Are Turning to

The Science of Reading: What Educators Need to Know

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.

By |2026-02-18T22:16:36+00:00February 18th, 2026|Reading Curriculum|Comments Off on The Science of Reading: What Educators Need to Know

What Is The Science of Reading

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.

By |2026-02-17T22:08:52+00:00February 17th, 2026|Reading Curriculum|Comments Off on What Is The Science of Reading

From Data to Action: Using Midyear Assessments to Drive Instructional Decisions

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,

By |2026-01-29T21:10:57+00:00January 29th, 2026|Math Assessment|Comments Off on From Data to Action: Using Midyear Assessments to Drive Instructional Decisions
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