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Morris, Mitchell J. – ProQuest LLC, 2012
Quickly accessing the contents of a video is challenging for users, particularly for unstructured video, which contains no intentional shot boundaries, no chapters, and no apparent edited format. We approach this problem in the domain of lecture videos though the use of machine learning, to gather semantic information about the videos; and through…
Descriptors: Heuristics, Electronic Learning, Video Technology, Computer Interfaces
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Andergassen, Monika; Guerra, Victor; Ledermüller, Karl; Neumann, Gustaf – International Journal of Mobile and Blended Learning, 2013
Didactical advantages of audience response systems (ARS) have been discussed extensively ever since they have been used in classes. However, conventional ARS bear some drawbacks, such as requiring specific hardware, generating costs (text messaging based and web service fees) and creating a dependency on external hosts. In this paper we present a…
Descriptors: Foreign Countries, Web Browsers, Handheld Devices, Audience Response Systems