DocumentCode :
2963560
Title :
Synote: Important Enhancements to Learning with Recorded Lectures
Author :
Wald, Mike ; Li, Yunjia
Author_Institution :
ECS, Univ. of Southampton, Southampton, UK
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
521
Lastpage :
525
Abstract :
This paper explains three new important enhancements to Synote, the freely available, award winning, open source, web based application that makes web hosted recordings easier to access, search, manage, and exploit for learners, teachers and other users. Synote uniquely achieves this through the creation of synchronized notes, bookmarks, tags, links, images and text captions, enabling users to easily find, or associate their notes or resources with, any part of a recording available on the web. Students surveyed would like to be able to access all their lectures through Synote. The facility to convert and import narrated PowerPoint PPTX files means that teachers can capture their lectures without requiring institution-wide expensive lecture capture systems. Crowdsourcing correction of speech recognition errors allows for sustainable captioning of the lecture while the development of an integrated mobile speech recognition application enables synchronized live verbal contributions from the class to also be captured through captions.
Keywords :
Internet; audio recording; computer aided instruction; learning (artificial intelligence); outsourcing; resource allocation; speech recognition; synchronisation; text analysis; PowerPoint PPTX files; Synote; Web-based application; Web-hosted recordings; award winning; bookmarks; crowdsourcing correction; images captions; institution-wide expensive lecture capture systems; integrated mobile speech recognition application; open source; recorded lectures learning; speech recognition errors; sustainable captioning; synchronized live verbal contributions; synchronized notes creation; text captions; Educational institutions; Microphones; Mobile communication; Servers; Speech recognition; Synchronization; learning; recorded lectures; speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1642-2
Type :
conf
DOI :
10.1109/ICALT.2012.8
Filename :
6268168
Link To Document :
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