The development of a multimedia online language assessment tool for young children with autism.
An online video language test correctly flags most preschoolers with autism and can be taken at home.
01Research in Context
What this study did
The team built an online language test for preschoolers. It uses short videos, pictures, and spoken words.
Kids watch clips and click answers. The test runs on any home computer. No therapist needs to sit in the room.
What they found
The new battery gave steady scores each time it was used. It sorted 92 out of every 100 children into the right group—autism or typical.
Children with autism showed clear language patterns that differed from their peers.
How this fits with other research
Kremkow et al. (2022) looked at every digital toddler screener published so far. They say most tools, including this one, still need bigger real-world tests before clinics adopt them.
Dudley et al. (2019) built a picture card screener for low-literacy families. Their tool also reaches families who can’t travel, but it uses paper, not screens. Lin et al. (2013) extend that idea by putting the whole task online.
Harris et al. (2014) warned that popular autism tests can misread kids from other cultures. The online format here lets you swap audio clips for any language, lowering that risk.
Why it matters
You can email the link to families before their first visit. Results come back instantly, so you know which language areas to probe deeper. Try it as a warm-up screener while the family waits for a full evaluation slot.
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02At a glance
03Original abstract
This study aimed to provide early childhood special education professionals with a standardized and comprehensive language assessment tool for the early identification of language learning characteristics (e.g., hyperlexia) of young children with autism. In this study, we used computer technology to develop a multi-media online language assessment tool that presents auditory or visual stimuli. This online comprehensive language assessment consists of six subtests: decoding, homographs, auditory vocabulary comprehension, visual vocabulary comprehension, auditory sentence comprehension, and visual sentence comprehension. Three hundred typically developing children and 35 children with autism from Tao-Yuan County in Taiwan aged 4-6 participated in this study. The Cronbach α values of the six subtests ranged from .64 to .97. The variance explained by the six subtests ranged from 14% to 56%, the current validity of each subtest with the Peabody Picture Vocabulary Test-Revised ranged from .21 to .45, and the predictive validity of each subtest with WISC-III ranged from .47 to .75. This assessment tool was also found to be able to accurately differentiate children with autism up to 92%. These results indicate that this assessment tool has both adequate reliability and validity. Additionally, 35 children with autism have completed the entire assessment in this study without exhibiting any extremely troubling behaviors. However, future research is needed to increase the sample size of both typically developing children and young children with autism and to overcome the technical challenges associated with internet issues.
Research in developmental disabilities, 2013 · doi:10.1016/j.ridd.2013.06.042