dc.contributor.authorLee, Shu Shing
dc.contributor.authorTheng, Yin-Leng
dc.contributor.authorGoh, Dion Hoe-Lian
dc.contributor.authorFoo, Schubert
dc.identifier.citationLee, S. S., Theng Y.-L., Goh, D. H.-L., & 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.en_US
dc.description.abstractSubjective 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.en_US
dc.format.extent13 p.en_US
dc.rightsThe original publication is available at www.springerlink.com.en_US
dc.subjectDRNTU::Library and information science::Libraries::Information retrieval and analysis
dc.titleAn exploratory factor analytic approach to understand design features for academic learning environmentsen_US
dc.typeConference Paper
dc.contributor.conferenceEuropean Conference on Digital Libraries ECDL (10th : 2006 : Spain)en_US
dc.contributor.schoolWee Kim Wee School of Communication and Informationen_US
dc.description.versionAccepted versionen_US

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