Using the Language Environment Analysis (LENA) system in preschool classrooms with children with autism spectrum disorders.
LENA gives quick, valid classroom language numbers for autistic preschoolers, and newer AI tools can make the process even faster.
01Research in Context
What this study did
Teachers wore a small LENA recorder during preschool class. The device counted every word spoken by adults and every sound made by autistic 3- to 5-year-olds.
The team later compared the counts to each child’s language age scores. They wanted to see if the numbers matched real language skill.
What they found
LENA picked up about three child vocalizations and twenty-nine teacher words each minute. These rates lined up with the kids’ language age scores.
Higher counts went with higher language ages, showing the tool can flag who needs more help.
How this fits with other research
Bertamini et al. (2025) push the idea further. Their AI needs only thirty seconds of labeled audio to tell who is speaking, making LENA-style checks faster in noisy rooms.
La Valle et al. (2024) used real-time human coding and also saw small speech gains over four months. Both studies show minute-level counts can track change, one with software, one with people.
MHeald et al. (2020) used AI to count vocal stereotypy, not speech. Together the papers prove audio tools can measure different vocal behaviors in autism, letting you pick the metric that fits your goal.
Why it matters
You can let LENA run during free play and get an instant snapshot of language exposure. If counts are low, boost teacher talk or peer interaction right away. Pair the data with quick AI tools like Giulio’s to cut scoring time and focus on teaching instead of tallying.
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02At a glance
03Original abstract
This study describes the language environment of preschool programs serving children with autism spectrum disorders (ASDs) and examines relationships between child characteristics and an automated measure of adult and child language in the classroom. The Language Environment Analysis (LENA) system was used with 40 children with ASD to collect data on adult and child language. Standardized assessments were administered to obtain language, cognitive, and autism severity scores for participants. With a mean of over 5 hours of recording across two days several months apart, there was a mean of 3.6 child vocalizations per minute, 1.0 conversational turns (in which either the adult or child respond to the other within 5 seconds) per minute, and 29.2 adult words per minute. Two of the three LENA variables were significantly correlated with language age-equivalents. Cognitive age-equivalents were also significantly correlated with two LENA variables. Autism Diagnostic Observation Schedule severity scores and LENA variables were not significantly correlated. Implications for using the LENA system with children with ASD in the school environment are discussed.
Autism : the international journal of research and practice, 2013 · doi:10.1177/1362361312446206