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

  • Authors:

  • Shu-Shing Lee;Yin-Leng Theng;Dion Hoe-Lian Goh;Schubert Shou-Boon Foo

  • Affiliations:

  • Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore;Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore;Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore;Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore

  • Venue:
  • ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
  • Year:
  • 2006

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Abstract

Subjective relevance (SR) is defined as usefulness of documents for tasks. 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 by factor analysis to identify groups of features that supported students’ document evaluations during IR interaction stages and provide design guidelines for an IR interface supporting students’ document evaluations. Findings suggested 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.