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TUC 2012 Friday, April 20 th 9:15 – 10:00 Closed Captioning Best Practices

TUC 2012 Friday, April 20 th 9:15 – 10:00 Closed Captioning Best Practices. Dr . Leyla Zhuhadar: Western Kentucky University. Western Kentucky University Leyla Zhuhadar. Established in1906 Bowling Green, KY Enrollment ~ 21,000. Distance Learning : ~ 450 faculty

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TUC 2012 Friday, April 20 th 9:15 – 10:00 Closed Captioning Best Practices

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  1. TUC 2012 Friday, April 20th9:15 – 10:00Closed Captioning Best Practices • Dr. Leyla Zhuhadar: Western Kentucky University

  2. Western Kentucky University Leyla Zhuhadar Established in1906 Bowling Green, KY Enrollment ~ 21,000 Distance Learning: • ~ 450 faculty • ~ 400 online courses • ~ 20% of total enrollment per year

  3. Tegrity Usage @ WKU (2007-2012) • Courses Used Tegrity = 1,496 • Faculty Used Tegrity = 590 • All-Time Total Recordings= 30,391 • Recording Hours = 8,194

  4. Tegrity Usage @ WKU (2007-2012) • Courses Used Tegrity = 1,496 • Faculty Used Tegrity = 590 • All-Time Total Recordings= 30,391 • Recording Hours = 8,194

  5. Multimedia Usage @ WKU(2007-2012)

  6. Closed Captioning (2007-2012)

  7. Closed Captioning (2007-2012)

  8. Why we caption with Tegrity? Remove Barriers to faculty for teaching online! • Made the decision to caption ALLTegrity videos produced for distance learning courses • Ongoing (forever) process • ADA 508 was a concern! • And it is the right thing to do

  9. How we caption with Tegrity

  10. Why we caption with Tegrity? Closed-Captioning Transcription team: undergrad work-study students

  11. Closed-Captioning How we caption with Tegrity Transcription team: use a “Wave pedal” start/stop speed, etc. Transcription team: about 2-3x time, $10 per hour Programmer team: about $15 per hour Total Cost = ~$25

  12. Closed-Captioning file requires time stamps How we caption with Tegrity [00:00:00.000]This is a recording showing the use and features of the 3M projectors and smart boards.[00:00:05.000]Testing #2[00:00:10.000]testing #3

  13. We wrote a little closed-captioning “Time Stamper” Java program How we caption with Tegrity • Takes text transcript and creates time stamped cc input file (*.txt format) • Enter the starting and ending times of the lecture in the (HH:MM:SS) format • Output file is caption.txt • Download: Tutorial & Software (URL)

  14. How we caption with Tegrity Tegrity captioning solution Edit -> “Add Closed Captioning”

  15. How we caption with Tegrity Tegrity captioning solution • Browse to the “caption.txt” file and add it to caption the video

  16. How we caption with Tegrity Sample Showcase Recordings: Legal Environment of Business

  17. We mark a closed-captioned session (CC) How we caption with Tegrity

  18. Additional Benefits • Can upload the closed-caption file as additional learning resource for students in additional content section • Captioning makes it easier for students to learn spelling and obscure terms • Can translate transcripts and have subtitles (dual language lectures) • “Searchability”

  19. Accuracy in sync & Pros/Cons • Accuracy: Up- to-US! • By default is around 70-80% accuracy • Enhancement: semi-automatic fix (available) • (3x time) • Pros: • Cost: $25 • 100% accuracy in sync • Money stays “in house” • Students learn • Cons: • Time consuming

  20. What we’d like to see change • Moving the closed-captioning under the Instructional Video • Mobile users can see closed captions • Bigger space more text = higher level of accuracy! • Additional Contents: • Copied at the same time when a user copy a course: in compliance with sections 508 (actual script is included)

  21. Panel Qs & As

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