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“Speech-Driven” Technologies to Reduce Faculty Workload in Online Higher Education
PROCEEDINGS

, Canisius College, United States

EdMedia + Innovate Learning, in Toronto, Canada ISBN 978-1-880094-81-5 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

It is commonly acknowledged that the provision of quality online instruction is more time consuming than is the case with face-to-face instruction. For this reason, faculty workload has emerged as an important topic in online higher education. This session will focus specifically on the use of two “speech-driven” technologies to reduce workload in online instruction without sacrificing quality. Voice recognition software (e.g., Dragon 10) allows faculty to more easily participate in discussion boards and respond to student email. In addition, the “voice embedding” feature of certain software (e.g., Adobe Acrobat Extended Pro 9) allows the instructor to “speak” his/her feedback to student writing and provide elaboration to assignment directions. The software will be demonstrated and several “end use” examples from an online graduate course will be shared. Technical considerations will be addressed. Last, the “learning curve” experiences of the presenter will be described.

Citation

Mike, D. (2010). “Speech-Driven” Technologies to Reduce Faculty Workload in Online Higher Education. In J. Herrington & C. Montgomerie (Eds.), Proceedings of ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3661-3665). Toronto, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved January 20, 2021 from .

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