English learners with special needs often face significant barriers to accessing appropriate support in schools, and accurate identification is critical to their success. Steve Gill, a seasoned educator, school psychologist, and consultant with over 15 years of experience, joins Highest Aspirations to discuss the Critical Data Process—a framework designed to guide teams in evaluating and supporting dually identified students. Drawing from his extensive work with thousands of educators and school districts across the U.S., Gill shares his journey from recognizing the gaps in his own training to developing a system that prioritizes context, collaboration, and equity.

In this episode, Steve Gill delves into the complexities of identifying special education needs among English learners and the importance of viewing students through an asset-based lens. He highlights the value of building diverse evaluation teams, leveraging localized data, and fostering high expectations for all students. Whether you're an educator, school psychologist, or administrator, this conversation offers practical strategies for refining assessment practices, addressing systemic challenges, and ensuring that every student receives the support they need to thrive.

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Steve Gill is an experienced educator, school psychologist, and consultant who has dedicated his career to improving outcomes for English learners and students with special needs. With over 15 years of consulting experience, Steve has trained more than 23,000 educators across the U.S. and worked with professionals in 14 countries. His extensive career includes roles in gifted education, counseling, coaching, and developing innovative frameworks like the Critical Data Process—a tool designed to guide equitable evaluations for dually identified students.

Steve is also a prolific author, having co-authored 10 books, which reflect his passion for education, creativity, and practical solutions. Through his work, Steve continues to empower educators with strategies that foster equity, leverage data, and focus on the strengths of every student.