Development and Validation of a Screening Tool for Preschool Children Aged 1-6 Years

Current developmental assessments in Taiwan rely mainly on foreign tools, which limit cultural suitability. This study addresses that gap by creating a local, AI-based screening system using Kebbi Air S, a social robot capable of voice prompts, facial recognition, and data recording. Five game-like scenarios will assess different developmental domains; one will be robot-assisted and four human-administered for comparison. 180 children (1-6 years) will be recruited from a nonprofit preschool in Taoyuan, with 60 also taking the Comprehensive Developmental Inventory for Infants and Toddlers (CDIIT) for validation. Analyses using SPSS 21.0 and ConQuest 4.5 will test reliability, validity, and item quality. The study aims to build a reliable local tool and confirm the feasibility of chatbot-assisted evaluation, contributing to a national preschool development database and improving early intervention accuracy.