OnDemand Webinar: Does Auto Captioning Effectively Accommodate Deaf People?

This is a rectangular image. This appears to be a screenshot from a video call between two women. On the left, the woman is sitting in front of a black background. She has straight brown hair and is wearing a grey jacket with a purple shirt inside. On the right, the background is blue & the woman is wearing an eyeglass, has curly black hair, and is wearing a black jacket pinkish purple shirt inside. Below that there is the text " Does Auto Captioning Help Deaf People?"

Module Description

There has been a significant increase in the use of captioning services for online learning due to COVID-19 pandemic, whether for live events or captioning video content. To keep up with the demand, many educational entities have turned to Automatic Speech Recognition (ASR) technology to provide timely accessibility for students. While ASR has seen rapid developments in recent years, the gaps in the technology compromises access for deaf students. This presentation is designed to give answers to commonly asked questions from professionals in education settings. Presenters will walk through key concepts such as effective communication, subjective experience, and institutional responsibility along with practical uses of ASR technology. Presenters will also address pressing issues on the inappropriate application of ASR as a direct communication access tool in educational environments and provide additional resources and guidance on the topic.

Learning Objectives

By the end of this session, participants will be able to:

  • Define “effective communication” as described in the Americans with Disabilities Act (ADA).
  • Compare automatic speech recognition versus speech-to-text professionals </li
  • Differentiate between CART, C-Print, and TypeWell services
  • Review scenarios to determine whether ASR should be used or not

Continuing Education Information

This OnDemand webinar module is approved for 1 NDC Continuing Professional Education (CPE) Clock Hour

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