"English-learning students’ scores on a state test designed to measure their mastery of the language fell sharply and have stayed low since 2018 — a drop that bilingual educators say might have less to do with students’ skills and more with sweeping design changes and the automated computer scoring system that were introduced that year.

English learners who used to speak to a teacher at their school as part of the Texas English Language Proficiency Assessment System now sit in front of a computer and respond to prompts through a microphone. The Texas Education Agency uses software programmed to recognize and evaluate students’ speech.

Students’ scores dropped after the new test was introduced, a Texas Tribune analysis shows. In the previous four years, about half of all students in grades 4-12 who took the test got the highest score on the test’s speaking portion, which was required to be considered fully fluent in English. Since 2018, only about 10% of test takers have gotten the top score in speaking each year."

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[–] 31337@sh.itjust.works 9 points 2 months ago (1 children)

If I understand the article correctly, the system is doing some kind of AI speech recognition to score how people speak. It's not a natural environment for people to talk to a computer, and could easily be biased by accents. I doubt any automated scoring that isn't just multiple choice is accurate.

[–] ArbitraryValue@sh.itjust.works 1 points 2 months ago* (last edited 2 months ago) (1 children)

According to my own experience as a fluent English speaker who has a strong accent, modern voice-recognition systems have no problem with my accent, but I agree that they have flaws. They're not perfect, but I expect that they're more accurate than teachers because teachers have motives other than accuracy.

Several districts have sued TEA to block the release of the last two years of ratings, arguing that recent changes to the metrics made it harder to get a good rating and could make them more susceptible to state intervention.

[–] Sacreblew@lemmy.ca 7 points 2 months ago (2 children)

My wife and her family have a hell of a time getting Google to understand their requests (Hispanic, wife is first generation) and has no issue understanding my requests, so I could see significant issues with the software misinterpreting.

[–] ArbitraryValue@sh.itjust.works 2 points 2 months ago* (last edited 2 months ago)

Interesting. A few people have told me that I enunciate more clearly than a native speaker, so if that's the case then my experience with speech-recognition systems will not be representative. With that said, older speech recognition systems did have trouble understanding me whereas newer ones don't so I think there really has been improvement.

I tried to find data about how students fluent in English do on this test but I wasn't able to. Comparing native English speakers to native Spanish speakers who have already learned English would be informative.

[–] shalafi@lemmy.world 2 points 2 months ago

Huh. My wife's Filipino accent is pretty heavy and Google almost always understands her.