The Digital Dilemma

The increasing integration of digital technology into early childhood environments has created challenges for special educators responsible for identifying developmental delays in preschool-aged children, as behaviors associated with technology exposure may resemble indicators of genuine disability. Viewed collectively, this tension reflects what this study defines as the digital dilemma in early childhood special education practice. The specific research problem addressed in this study was special educators’ difficulty distinguishing technology-influenced behaviors from true developmental delays during special education referral decision-making. The purpose of this qualitative grounded theory study was to examine special educators’ perceptions of technology’s role in preschool development and how those perceptions influence referral decisions within a Preschool Early Intervention Program in an Intermediate Unit in eastern Pennsylvania. Guided by Bronfenbrenner’s Ecological Systems Theory and the Technology Acceptance Model, the central research question asked how special educators perceive the impact of technology exposure on preschool children’s development and special education referral practices. Data were collected through a self-administered online survey completed by special educators working in classroom-based and home-based service settings and analyzed using iterative coding procedures. Findings indicated that educators frequently observed concerns in developmental domains commonly considered during referral decisions, including language, attention, social engagement, emotional regulation, and fine motor skills, and reported difficulty distinguishing environmentally influenced behaviors from persistent developmental delays due to the absence of structured, technology-sensitive referral tools. One key conclusion was that reliance on informal observation and professional judgment alone contributed to variability and uncertainty in referral decision-making. As a result, the study recommends the use of structured, non-diagnostic decision-support tools, such as a technology exposure checklist, to enhance contextual understanding during referrals. The implications of this study support positive social change by promoting more accurate, equitable, and context-sensitive identification practices, reducing the risk of misidentification, and improving access to appropriate early childhood special education services.