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Innovative Assistive Technologies for Enhancing Accessibility in Education

This document explores various assistive technologies aimed at improving accessibility in educational settings, particularly for students with visual impairments. It discusses tools such as AI-powered tutors, DAISY/NIMAS conversion, dynamic content handling through Firefox and ARIA, and the use of TTS on mobile devices. The collaboration among accessibility research groups, the importance of user feedback in technology development, and ongoing research projects in speech recognition and navigation databases are also highlighted. These innovations are essential for creating inclusive learning environments.

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Innovative Assistive Technologies for Enhancing Accessibility in Education

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  1. CSUN 2009Shani Jayant

  2. Education • Artificial Intelligence Tutoring in STEM • Viewplus IVEO Touchpad • American Thermoform Corporation • Remote Captioning in the Classroom • Ginger Writing Aid- Automatic Text Correction • DAISY & NIMAS conversion • MathML readers

  3. Captioning • Mopix • Remote- CaptionFirst • IBM- new speech recognition research

  4. Web Accessibility • Firefox • ARIA 2.0? • HearSay Non-Visual Web Browser- Stonybrook • Contextual browsing • Automate repetitive tasks • Dynamic content handling • Layered navigation • TTS

  5. Mobile Devices • Firefox Plans • Kurzweil/Nokia • PacMate versus BrailleSense

  6. Click and Go Narrative Maps • Mobility specialists • No special equipment- through a website • Add to user repository?

  7. New Hardware • ABISee low vision/blind OCR readers/speakers • New IVEO Touchpad size • Victor Reader Stream- DAISY reader • VoiceEye (PC-)Mate (Korea)

  8. Audible Paper with Voice Eye

  9. Readers for Low Vision/ Blind • Kurzweil/Nokia • Lost of low vision magnifiers (show the small one)- MANO- Reinecker Reha-Technik GmbH • Large readers (ABISee)

  10. Other New Software • Dancing Dots • Jtunes- JAWS + ITunes • Gh PLAYER- digital talking books/NIMAS

  11. 4G Nanos- speak (Also shuffles)

  12. Ongoing Research Projects • IBM Speech Recognition • Sensors/Haptics ASU- Sreekar Krishna • Navigation Database Project- InTouch Graphics- click and go narrative maps • MathML evaluation- Kentucky Supported Math Accessibility Reading Tool project (considered for addition to NIMAS standard) • SeeScan- camera object recognition

  13. Takeaways • Necessary technology way too $$$ • Too many devices • Upgrading/ keeping up is hard • Ask users before building! • Need more collaboration between accessibility research groups

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