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Title: An exploratory factor analytic approach to understand design features for academic learning environments
Authors: Foo, Schubert
Theng, Yin-Leng
Lee, Shu Shing
Goh, Dion Hoe-Lian
Keywords: DRNTU::Library and information science::Libraries::Information retrieval and analysis
Issue Date: 2006
Source: Lee, 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.
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.
DOI: 10.1007/11863878_27
Rights: The original publication is available at
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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