LanguageScreen: The Development, Validation, and Standardization of an Automated Language Assessment App

Area of Science:

• Speech and Language Pathology
• Educational Psychology
• Developmental Psychology

Background:

• Oral language proficiency is foundational for academic success, particularly in literacy development.
• Early identification of language difficulties is crucial for effective educational intervention.
• Teachers require accessible tools to assess children's language abilities in school settings.

Purpose of the Study:

• To develop and standardize a mobile application, LanguageScreen, for assessing children's oral language skills.
• To provide education professionals with a reliable tool for identifying potential language impairments.
• To support early intervention strategies by facilitating language assessment in schools.

Main Methods:

• Standardization involved approximately 350,000 children aged 3 to 8 years.
• LanguageScreen screened for receptive and expressive language skills.
• Rasch scaling was employed to ensure item unidimensionality and appropriate difficulty.

Main Results:

• LanguageScreen demonstrated excellent psychometric properties, including high reliability and good fit to the Rasch model.
• Minimal differential item functioning was observed across key student demographics.
• Girls generally outperformed boys, and children with English as an additional language scored lower than monolingual peers.

Conclusions:

• LanguageScreen offers a user-friendly, reliable, and child-centered method for identifying language difficulties.
• The app can enhance teacher awareness of language variations and their educational implications.
• Widespread use in schools can promote timely support for children with language challenges.