"English-learning studentsā scores on a state test designed to measure their mastery of the language fell sharply and have stayed low since 2018 ā a drop that bilingual educators say might have less to do with studentsā 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 studentsā speech.
Studentsā 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 testās 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."
I suspect that the human graders were the biased ones, and that this automated test is more accurate. Schools frequently inflate test results when given the opportunity (especially when low results reflect poorly on the school).
How do students known to be fluent in English do on it? Do they pass reliably?
Edit: Hereās a discussion of a similar phenomenon in the context of high-school graduation rates. Graduation rates regularly go up by a very large amount when standardized tests stop being required, but thatās not because otherwise-qualified students were doing poorly on standardized tests.
Itās possible for both things to be true. Human reviewers might be biased towards awarding higher scores and the computer could be dog shit at scoring. I have no idea how this can meaningfully be grading fluency. Fluency in a spoken language consists of vocabulary, grammar, and pronunciation.
I have seen plenty of people who were very fluent who speak with an extremely noticeable accent who were none the less comprehensible. Software is extremely likely to perform poorly at recognizing speak by non-native speakers and fail individuals who are otherwise comprehensible. Because it wont even recognize the words its nearly entirely testing pronunciation and then denying such students access to electives that would allow them to further their education.
Itās quite possible that youāre right. I havenāt been able to find any research that attempts to quantify how accurate the software is, and without that I can only speculate.
If I understand the article correctly, the system is doing some kind of AI speech recognition to score how people speak. Itās not a natural environment for people to talk to a computer, and could easily be biased by accents. I doubt any automated scoring that isnāt just multiple choice is accurate.
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. Theyāre not perfect, but I expect that theyāre more accurate than teachers because teachers have motives other than accuracy.
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.
Huh. My wifeās Filipino accent is pretty heavy and Google almost always understands her.
Interesting. A few people have told me that I enunciate more clearly than a native speaker, so if thatās 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 donāt 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 wasnāt able to. Comparing native English speakers to native Spanish speakers who have already learned English would be informative.