How accurately can the Google Web Speech API recognize and transcribe Japanese L2 English learners’ oral production?

Ashwell, Tim; Elam, Jesse R.

doi:10.29140/jaltcall.v13n1.212

Cited by 34 publications

(25 citation statements)

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“…However, these programs do not all have a good track record of accurately registering the pronunciation of second-language speakers of English (Ashwell & Elam, 2017; Coniam, 1999; Derwing, Munro, & Carbonaro, 2000). Although some research (Cucchiarini & Strik, 2018; Litman, Strik, & Lim, 2018; Witt & Young, 2000) suggests these programs are improving, teachers should be aware that they may not respond in the same ways to native and non-native speech, or provide accurate feedback to speakers of nonstandard or nondominant language varieties (Hanani, Russell, & Carey, 2013), such as Mexican Spanish as opposed to Castilian Spanish.…”

Section: Baked-in Biasesmentioning

confidence: 99%

How technology affects instruction for English learners

Altavilla¹

2020

Phi Delta Kappan

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In response to federal policy and the COVID-19 pandemic, schools and districts are using technology to support students designated as English learners (ELs). However, school leaders and teachers have little guidance about how to implement technology effectively to foster these students’ language development and content instruction. To address this need, Jennifer Altavilla raises three concerns specific to technology use with ELs: (1) Technology accessibility and use are equally important, (2) Technologies have baked-in biases, (3) Technology should promote authentic social interaction.

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Section: Baked-in Biasesmentioning

confidence: 99%

How technology affects instruction for English learners

Altavilla¹

2020

Phi Delta Kappan

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“…Their research shows that there is some future potential (that they hope to develop) for services like Google Web Speech API to be implemented and facilitate automatic scoring for vocal tests. (Ashwell & Elam, 2017) These innovations will benefit other educators once they are available and tested beyond these early adopting instructors. However, there are tools currently available that have been helping teachers leverage technology and speaking in both online and flipped classrooms.…”

Section: Technology Assistancementioning

confidence: 99%

Integration of the Video Response App FlipGrid in the Business Writing Classroom

McLain¹

2018

International Journal of Educational Technology and Learning

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In business English writing classes, second language learners can be reticent to speak about their writings. To combat this and give students more opportunities to practice speaking and allow instructors the ability to measure the engagement, a video capture tool is needed that will enable students to have conversations asynchronously and produce the language vocally outside of class. Recently a tool was developed where speaking tasks can be created using a video response service called FlipGrid. This web-based educational technology tool gives instructors the means to help students increase their productive language skills by increasing the time students spend speaking outside class, with the added accountability of video. Both spontaneous and planned vocal practice assignments can be created with this tool resulting in more student engagement and speaking practice. This paper discusses the need and rationale for using the service and shares the results of a class evaluation after implementing the video capture tool in a business writing class. The assessment discovered that students found the tool easy to use and noticed increases with both their perceived time speaking English between classes and their perceived Englishspeaking confidence.

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“…The paper presents a solution that may help visually impaired people to locomote using speech recognition and Google API. We used the research from T. Ashwell et al [21] as a base to build a speech recognition system for visually impaired people. They used the ASR system to recognize the speech commands from Japanese students who learn English.…”

Section: Related Workmentioning

confidence: 99%