An Exploratory Factor Analytic Approach to Understand Design Features for Academic Learning Environments
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...
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| creator | Lee, Shu-Shing Theng, Yin-Leng Goh, Dion Hoe-Lian Foo, Schubert Shou-Boon |
| description | 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. |
| doi_str_mv | 10.1007/11863878_27 |
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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.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Exact sciences and technology</subject><subject>exploratory factor analysis</subject><subject>Information systems. Data bases</subject><subject>interface design</subject><subject>Memory organisation. 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User interface</topic><topic>Exact sciences and technology</topic><topic>exploratory factor analysis</topic><topic>Information systems. Data bases</topic><topic>interface design</topic><topic>Memory organisation. Data processing</topic><topic>Software</topic><topic>Subjective relevance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Shu-Shing</creatorcontrib><creatorcontrib>Theng, Yin-Leng</creatorcontrib><creatorcontrib>Goh, Dion Hoe-Lian</creatorcontrib><creatorcontrib>Foo, Schubert Shou-Boon</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Shu-Shing</au><au>Theng, Yin-Leng</au><au>Goh, Dion Hoe-Lian</au><au>Foo, Schubert Shou-Boon</au><au>Verdejo, M. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2006, p.315-328 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19687626 |
| source | Springer Books |
| subjects | Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology exploratory factor analysis Information systems. Data bases interface design Memory organisation. Data processing Software Subjective relevance |
| title | An Exploratory Factor Analytic Approach to Understand Design Features for Academic Learning Environments |
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