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

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

doi:10.1007/11863878_27

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

Shu Shing Lee^*, Yin Leng Theng, Dion Hoe Lian Goh, Schubert Shou Boon Foo

^*Corresponding author for this work

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006
Publisher	Springer Verlag
Pages	315-328
Number of pages	14
ISBN (Print)	3540446362, 9783540446361
DOIs	https://doi.org/10.1007/11863878_27
Publication status	Published - 2006
Externally published	Yes
Event	10th European Conference on Digital Libraries, ECDL 2006 - Alicante, Spain Duration: Sept 17 2006 → Sept 22 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4172 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th European Conference on Digital Libraries, ECDL 2006
Country/Territory	Spain
City	Alicante
Period	9/17/06 → 9/22/06

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Exploratory factor analysis
Interface design
Subjective relevance

Access to Document

10.1007/11863878_27

Cite this

Lee, S. S., Theng, Y. L., Goh, D. H. L., & Foo, S. S. B. (2006). An exploratory factor analytic approach to understand design features for academic learning environments. In 2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006 (pp. 315-328). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4172 LNCS). Springer Verlag. https://doi.org/10.1007/11863878_27

Lee, Shu Shing ; Theng, Yin Leng ; Goh, Dion Hoe Lian et al. / An exploratory factor analytic approach to understand design features for academic learning environments. 2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006. Springer Verlag, 2006. pp. 315-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

keywords = "Exploratory factor analysis, Interface design, Subjective relevance",

author = "Lee, {Shu Shing} and Theng, {Yin Leng} and Goh, {Dion Hoe Lian} and Foo, {Schubert Shou Boon}",

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Lee, SS, Theng, YL , Goh, DHL & Foo, SSB 2006, An exploratory factor analytic approach to understand design features for academic learning environments. in 2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4172 LNCS, Springer Verlag, pp. 315-328, 10th European Conference on Digital Libraries, ECDL 2006, Alicante, Spain, 9/17/06. https://doi.org/10.1007/11863878_27

An exploratory factor analytic approach to understand design features for academic learning environments. / Lee, Shu Shing; Theng, Yin Leng ; Goh, Dion Hoe Lian et al.
2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006. Springer Verlag, 2006. p. 315-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4172 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An exploratory factor analytic approach to understand design features for academic learning environments

AU - Lee, Shu Shing

AU - Theng, Yin Leng

AU - Goh, Dion Hoe Lian

AU - Foo, Schubert Shou Boon

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Exploratory factor analysis

KW - Interface design

KW - Subjective relevance

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DO - 10.1007/11863878_27

M3 - Conference contribution

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SN - 9783540446361

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 315

EP - 328

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Lee SS, Theng YL , Goh DHL, Foo SSB. An exploratory factor analytic approach to understand design features for academic learning environments. In 2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006. Springer Verlag. 2006. p. 315-328. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11863878_27

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

Abstract

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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