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An Edtech User's Glossary to Speech Recognition and AI in the Classroom - EdSurge News

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In a recent white paper, former Scholastic president of education Margery Mayer dubbed 2021 the "year of speech recognition" in education. And she may be right: A spike in adoption by edtech developers in the first half of this year reflects the recognition that technology holds the potential to not only create more engaging learning experiences for students, but to transform the very practice of early literacy instruction altogether. In prior years, such a vision may have seemed far fetched. But as EdSurge has previously noted, the science behind speech recognition for children has begun to come of age, enabling educational applications that have piqued the interest of edtech developers, educators and researchers alike. Part of what has enabled the growing use of speech recognition in education is the availability today of technology built specifically to cater to kids' voices and behaviors.


4 Innovative Ways AI Is Being Used In Education

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Reading: Voice-enabled reading tools can help diagnose reading challenges, including dyslexia, at an earlier stage before a child even learns to read or recognize letters or letter sounds (phonics). Then, as a child starts down their reading journey, voice-enabled reading apps can listen, prompt, correct, and encourage a child as their reading progresses, just as a helpful adult would do. Immediate and accurate feedback from the voice-enabled reading app empowers a child to progress autonomously, practice regularly, and assess their own reading ability and areas for improvement. Voice-enabled reading assessments also provide educators and parents with immediate and granular insights into where a kid is struggling and help them to support the child with more personalized and individual approaches to achieving their reading goals. Language learning: Vice-enabled tools can listen while a child reads aloud and immediately return pronunciation scores and encouraging feedback--just as a supportive adult or tutor would.


How Artificial Intelligence Can Change Education – AI.Business

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In the beginning of 2016 Jill Watson, an IBM-designed bot, has been helping graduate students at Georgia Institute of Technology solve problems with their design projects. Responding to questions over email and posted on forums, Jill had a casual, colloquial tone, and was able to offer nuanced and accurate responses within minutes. A robot has been teaching graduate students for 5 months and none of them realized. Here are just a few of artificial intelligence tools and technologies that will shape and define the educational experience of the future. Duolingo is the world's most popular platform to learn a language.


Amid coronavirus, students flock to Kahoot! and Duolingo. Is it the end of language teachers?

USATODAY - Tech Top Stories

Every day, Massachusetts seventh-grader Kaylyn Wilson takes a break from doing homework online and opens an app on her phone for a half-hour foreign language lesson. "The boy has three green bikes and an egg," the 12-year-old announced to her family in French at the start of her third week using the mobile app from Rosetta Stone, the language-learning software giant. Wilson doesn't yet need to study a language for credit. But during the school shutdowns to contain the coronavirus, her father saw Rosetta Stone advertise free accounts for students – an offer other language-learning software companies have made as well. Wilson decided to give it a go.


COVID pandemic contributed to historic number of students falling below reading benchmark

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The COVID pandemic contributed to a third of young grade school students missing reading benchmarks, which is up significantly from pre-pandemic rates, according to several studies. A recent Virginia report discussed data collected from The Phonological Awareness Literacy Screening (PALS) K-2 assessment, a tool used to evaluate students' risk for reading difficulties that spanned three fall assessment periods in 132 school divisions. The study looked at rates of "at-risk" students K-2, pre-pandemic (2019) to the fall of 2021 when students returned to in- classroom learning.