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An exploratory factor analytic approach to understand design features for academic learning environments

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An exploratory factor analytic approach to understand design features for academic learning environments

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dc.contributor.author Lee, Shu Shing
dc.contributor.author Theng, Yin Leng
dc.contributor.author Goh, Dion Hoe-Lian
dc.contributor.author Foo, Schubert Shou Boon
dc.date.accessioned 2009-10-02T04:08:19Z
dc.date.available 2009-10-02T04:08:19Z
dc.date.copyright 2006
dc.date.issued 2009-10-02T04:08:19Z
dc.identifier.citation Lee, S. S., Theng Y. L., Goh, D., & Foo, S. (2006). An exploratory factor analytic approach to understand design features for academic learning environments. Proceedings of the 10th European Conference on Digital Libraries ECDL 2006, (September 17-22, Alicante, Spain), Lecture Notes in Computer Science 4172, 315-328.
dc.identifier.uri http://hdl.handle.net/10220/6128
dc.description.abstract Subjective relevance (SR) is defined as usefulness of documents for tasks. Using digital libraries as examples of IR systems, this paper enhances objective relevance and tackles its limitations by conducting a quantitative study to understand students’ perceptions of features for supporting evaluations of subjective relevance of documents. Data was analyzed using factor analysis to identify groups of features that supported students’ document evaluations during IR interaction stages to provide design implications for an IR interface supporting students’ evaluations of documents. Findings seemed to suggest an implied order of importance amongst groups of features for each interaction stage. The paper concludes by discussing groups of features, its implied order of importance, and support for information seeking activities to provide design implications for IR interfaces supporting SR for academic research.
dc.format.extent 13 p.
dc.language.iso en
dc.rights The original publication is available at www.springerlink.com.
dc.subject DRNTU::Library and information science::Libraries::Information retrieval and analysis
dc.title An exploratory factor analytic approach to understand design features for academic learning environments
dc.type Conference Paper
dc.contributor.conference European Conference on Digital Libraries ECDL (10th : 2006 : Spain)
dc.contributor.school Wee Kim Wee School of Communication and Information
dc.identifier.doi http://dx.doi.org/10.1007/11863878_27
dc.description.version Accepted version

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