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Avenue ASL: Transforming Language Assessment and Learning through Networked Video Integration
PROCEEDINGS

, , , University of Minnesota, United States

EdMedia + Innovate Learning, in Montreal, Canada ISBN 978-1-880094-56-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

Avenue ASL, an integrated software environment to capture, evaluate, self-assess, and manage American Sign Language (ASL) performance, is being developed at the University of Minnesota to improve student language learning and increase the efficiency of existing assessment/instructional processes. The software enables students to capture videos of several sign-language assessment tasks and submit them via a computer network for assessment. In addition to deploying model performances for student review, instructors can access recorded files, administer grades, and provide both textual and video feedback to students in a timely fashion. Avenue ASL exhibits significant pedagogical potential and represents a model for future assessment across diverse language learning and performance-based curricula.

Citation

Hooper, S., Miller, C. & Veletsianos, G. (2005). Avenue ASL: Transforming Language Assessment and Learning through Networked Video Integration. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3919-3924). Montreal, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 12, 2019 from .

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