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Semantic Social Scaffolding for Capturing and Sharing Dissertation Experience

Dimitrova, V, Lau, LMS and O'Rourke, R (2011) Semantic Social Scaffolding for Capturing and Sharing Dissertation Experience. IEEE Transactions on Learning Technologies, 4 (1). 74 - 87 . ISSN 1939-1382


This paper presents a novel collaborative tool - AWESOME Dissertation Environment (ADE) - which facilitates student learning through semantic social scaffolding: a new approach to dissertation writing challenges. These challenges revolve around three issues: timing of support; collective intelligence, and sense making strategies in tension with the individual and individualized experience of researching, writing and supervising dissertations; and supporting students' transition from learning “about” to learning “how to” research and write dissertations. A social technical approach was adopted to meet the challenge of effectively integrating technology development and pedagogic practice to address these issues. A semantic wiki was tailored into a social writing environment capable of providing holistic support throughout the whole dissertation process. A trial of ADE with students and tutors in Fashion Design examines user acceptance and the connection between technology and practice. Based on the design, implementation, and user trialing of the ADE, broad implications for future TEL adopting social semantic web principles and tools are drawn, highlighting issues with 1) user-centric design and development, 2) tailoring, seeding and evolution of the community environment, and 3) divergent expectations and facilitation of user participation.

Item Type: Article
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Aug 2011 10:18
Last Modified: 15 Sep 2014 03:55
Published Version: http://dx.doi.org/10.1109/TLT.2010.42
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/TLT.2010.42
URI: http://eprints.whiterose.ac.uk/id/eprint/43180

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