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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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Title: An exploratory factor analytic approach to understand design features for academic learning environments
Author: Lee, Shu Shing; Theng, Yin-Leng; Goh, Dion Hoe-Lian; Foo, Schubert
Copyright year: 2006
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.
Subject: DRNTU::Library and information science::Libraries::Information retrieval and analysis
Type: Conference Paper
Conference name: European Conference on Digital Libraries ECDL (10th : 2006 : Spain)
School: Wee Kim Wee School of Communication and Information
Rights: The original publication is available at www.springerlink.com.
Version: Accepted version

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