UDL@UVM Blog

Universal Design for Learning at the University of Vermont


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Videos Accelerate Community Learning. Can Higher Education “Sign-In” to this?

This TED talk intrigues thought to using shared videos to enhance and communicate learning in ways that print can not.  Video’s and the web are accelerating the ways in which we spread ideas and communicate.  Videos can be translated into any language. There are computer programs that automatically put videos into words.

Direct Link to Video :http://video.ted.com/talks/podcast/ChrisAnderson_2010G.mp4

ZACK’S Takes Away’s from Video.

Videos packs more data, and our brains are uniquely hardwired to decode it.

We (our planet) watches 80 Million Youtube hours/day

Rise of web video is leading to “Crowd Accelerated Innovation”

Business/Organizations are wasting Billions of dollars on Print

The crowd dictates desire through shared videos and in turn pushes innovation/learning forward.

Reflection/Discussion Prompt

The concepts that Chris Anderson speaks of makes me think of open learning communities where all information is shared for the better learning of the group.  One concern that I have heard voiced on the topic of  open source and education is that it is not credible and it has no way of being made official.  And to an extent I agree with this.  Information should  be a credited, especially in higher education.  However, this does not mean that higher education organizations should shudder at the thought of sharing intellectual property.  There is a huge amount of value in this structure.  Chris quickly addresses this topic in his video as he champions the use of video as a better medium for transferring information.  He states that organizations are wasting “billions” of dollars a year wasting there time with print.  A bit extreme but his point is clear that videos, especially when used in a cooperative manner, have the tremendous ability to push learning and “Crowd Based Innovation” forward in faster ways than academia and society has seen before.


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Trends in Disability Education

Learning-Disabled Enrollment

Dips After Long Climb

Students Served Chart

Percentage of Students Served (click enlarge)

After decades of what seemed to be an inexorable upward path, the number of students classified as learning-disabled declined from year to year over much of the past decade—a change in direction that is spurring debates among experts about the reasons why.

The percentage of 3- to 21-year-old students nationwide classified as having a “specific learning disability” dropped steadily from 6.1 percent in the 2000-01 school year to 5.2 percent in 2007-08, according to the most recent data available, which come from the U.S Department of Education’s 2009 Digest of Education Statistics. In numbers, that’s a drop from about 2.9 million to 2.6 million students.

Positive Trends (Article Excerpt) – About 80 percent of children who are classified as learning-disabled get the label because they’re struggling to read

To Read More Go to Edweek.org website.


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A Quick Introduction to Voice Recognition Software

Three easy to use applications for translating your spoken voice into text:

A chart of three voice recognition softwares

A chart of voice recognition software that assist people with writing by processing spoken voice and translating it into digital text.(speech to text)

Click on the image to get a clearer view.

Who is the user?

Doctors and lawyers are known to use voice recognition software to quickly ‘type out’ patient instructions and the like. Individuals with limited arm/hand functions; individuals with learning disabilities, such dyslexia, auditory comprehension/processing, written expression difficulties; individuals with ADD/ADHD all can benefit from speech to text applications.

Things to keep in mind about Voice Recognition software:
•    Voice recognition systems require consistent vocal control, pronunciation and diction.
•    Natural language functions will allow the user to issue verbal commands without memorizing awkward command syntax.
•    Natural language support may not be available on computer systems with unsupported hardware.
•    Voice files can be moved between computers, installed with compatible Dragon Naturally Speaking versions, for greater access to campus-wide resources.
•    Voice recognition systems require  continued correction.
•    Voice recognition systems are best suited for use by patient and motivated individuals willing to commit the time to properly correct misrecognition errors.

This information was taken from a  presentation  at an AHEAD conference.  For a full list of materials and more detailed information on the conference go the AHEAD conference website.

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