“Nothing Can Replace Authentic Human Interaction”: EI/ECSE Professionals’ Perception of AI

Artificial intelligence (AI) is becoming increasingly integrated into everyday life, helping to automate routine tasks and freeing up individuals to focus on more complex, creative, or interpersonal responsibilities. Yet, the use of AI presents unique concerns related to privacy and bias. While AI developments have become widespread in K–12 and higher education settings, far less is understood about their use in early intervention (EI) and early childhood special education (ECSE). To fill this gap in the literature, we conducted an exploratory multi-method study to examine how EI/ECSE professionals perceive and utilize AI in their practice. Results from 68 participants provided unique preliminary insights into the knowledge, use, attitudes, needs, benefits, and concerns of AI by EI/ECSE professionals. Our findings reveal a complex landscape of attitudes toward AI among EI/ECSE professionals, characterized by cautious optimism coupled with significant knowledge gaps and professional development needs. Limitations, implications for practice, and future research directions are discussed.

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Publication Details

Journal
Topics in Early Childhood Special Education
Published
2026-04-15
DOI
https://doi.org/10.1177/02711214261435935
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

“Nothing Can Replace Authentic Human Interaction”: EI/ECSE Professionals’ Perception of AI

Sarah N. Douglas, Jinjun Xiong, Hedda Meadan, Alexandra M. Reilly et al.
Topics in Early Childhood Special Education
AI in Service Interactions
article

“Nothing Can Replace Authentic Human Interaction”: EI/ECSE Professionals’ Perception of AI

Sarah N. Douglas, Jinjun Xiong, Hedda Meadan, Alexandra M. Reilly, Rayan Alqunaysi, Sheena Jennings
article en

Abstract

Artificial intelligence (AI) is becoming increasingly integrated into everyday life, helping to automate routine tasks and freeing up individuals to focus on more complex, creative, or interpersonal responsibilities. Yet, the use of AI presents unique concerns related to privacy and bias. While AI developments have become widespread in K–12 and higher education settings, far less is understood about their use in early intervention (EI) and early childhood special education (ECSE). To fill this gap in the literature, we conducted an exploratory multi-method study to examine how EI/ECSE professionals perceive and utilize AI in their practice. Results from 68 participants provided unique preliminary insights into the knowledge, use, attitudes, needs, benefits, and concerns of AI by EI/ECSE professionals. Our findings reveal a complex landscape of attitudes toward AI among EI/ECSE professionals, characterized by cautious optimism coupled with significant knowledge gaps and professional development needs. Limitations, implications for practice, and future research directions are discussed.

Topics in Early Childhood Special Education
University of North Carolina at Charlotte (US), Prince Sattam Bin Abdulaziz University (SA), University at Buffalo, State University of New York (US), Michigan State University (US)
National Science Foundation, U.S. Department of Education, Institute of Education Sciences
Quality Education
Openalex Percentile: Top 20%
AI in Service Interactions
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