The Collaborative Lecture Annotation System (CLAS): A New TOOL for Distributed Learning

Authors:
Evan F. Risko;Tom Foulsham;Shane Dawson;Alan Kingstone
Affiliations:
Arizona State University, Glendale;University of Essex, Colchester;University of British Columbia, Vancouver;University of British Columbia, Vancouver
Venue:
IEEE Transactions on Learning Technologies
Year:
2013

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Abstract

In the context of a lecture, the capacity to readily recognize and synthesize key concepts is crucial for comprehension and overall educational performance. In this paper, we introduce a tool, the Collaborative Lecture Annotation System (CLAS), which has been developed to make the extraction of important information a more collaborative and engaged process. The system relies on semantically constrained annotation, postannotation data amalgamation and transparent display of this amalgamated data. In addition to describing the CLAS, we report on a user experience study aimed at investigating students' perception of the utility of the tool.