Please use this identifier to cite or link to this item:
|Title:||An exploratory factor analytic approach to understand design features for academic learning environments||Authors:||Foo, Schubert
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.||URI:||https://hdl.handle.net/10356/91366
|DOI:||10.1007/11863878_27||Rights:||The original publication is available at www.springerlink.com.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||WKWSCI Conference Papers|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.