OAE's Proteus Project: A New Learning Paradigm From: Speaking of Computers - Stanford University - 09/22/2003 - page 5 It was born three years ago as an intriguing concept to better accommodate students with disabilities. lt has since grown into a project that could enhance the way all students learn, not only at Stanford but around the world. The Proteus Learning Environment is the brainchild of the Office of Accessible Education (OAE) and is the foundation of the newly-created Center for Universal Design in Education. ... Because it is important to integrate the teaching styles of instructors and the learning needs of students, the Office of Accessible Education will be including faculty and students as partners on the project development team. If you are a faculty member with an "early adopter" frame of mind and are interested in working with us, please contact Dr. Joan Bisagno, OAE Director (joan.bisagno@stanford.edu, 650/723-1039) or Shelley Haven, Academic Technology Specialist and Technology Coordinator for the OAE (shelley.haven@stanford.edu, 650/725-6173). Scenario Example of How Student Might Use Proteus Learning Environment Student with - Listens to lecture. learning - Synchronizes notes (taken by peer notetaker) with lecture disabilities, transcript. ADHD - Bookmarks stream for later referral (e.g.,"important point", "Don't understand", 'Assignment"). Student with - Accesses lecture (transcribed via remote captioner) later hearing via speech recognition. impairment - Uses closed captioned video. - Reviews Lecture transcript and notes available after class. Student who is - Listens to lecture, bookmarks points. legally blind - Takes notes via Braille notetaker. - Uses refreshable (i.e., dynamic) Braille display to read text on Web and handouts previously prepared by instructor. Any student, - Reviews bookmarked sections of stream for follow-up. studying after - Reads AND listens to lecture transcript (text and audio class synchronized). - Searches for material via text search,then replays synchronized video, audio, whiteboard capture, etc. - Annotates transcript,class notes using speech recognition, typing, or handwriting recognition. Read the entire article at: http://academiccomputing.stanford.edu/pubs/SOC/Back_Issues/SOC63/highlights.html#high9