Associating learners' cognitive style with their navigation behaviors: A data-mining approach

Yung Chi Hsu; Sherry Y. Chen

doi:10.1007/978-3-642-21619-0_4

Associating learners' cognitive style with their navigation behaviors: A data-mining approach

Yung Chi Hsu, Sherry Y. Chen

Graduate Institute of Network Learning Technology

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

4 Scopus citations

Abstract

Investigating how learners' individual differences affect their navigation behavior can help us understand learners' preferences and can be used to develop the Web-based learning system that can meet learners' needs. Among various individual differences, learners' cognitive styles need to be considered because it is concerned how users process information. There is also a need to examine the relationship between their navigation behavior and performance because such findings can be used to suggest suitable navigation tools to meet learners' real needs. To this end, the aims of this study tend to use a data mining approach to not only investigate the relationship between learners' cognitive styles and their navigation behavior but also analyze how their navigation behavior influence performance. The results indicate that holists and serialists have different navigation behavior. However, there is no direct relationship between learning performance and navigation behavior.

Original language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Users and Applications - 14th International Conference, HCI International 2011, Proceedings
Pages	27-34
Number of pages	8
Edition	PART 4
DOIs	https://doi.org/10.1007/978-3-642-21619-0_4
State	Published - 2011
Event	14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States Duration: 9 Jul 2011 → 14 Jul 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	6764 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Human-Computer Interaction, HCI International 2011
Country/Territory	United States
City	Orlando, FL
Period	9/07/11 → 14/07/11

Keywords

cognitive styles
Data mining
learning performance
navigation behavior

Access to Document

10.1007/978-3-642-21619-0_4

Pire:Building Extreme Weather Resiliency through Improved Weather and Climate Prediction and Public Response Strategies(5/5)
Lin, P.
1/09/19 → 31/08/23
Project: Research

Cite this

Hsu, Y. C., & Chen, S. Y. (2011). Associating learners' cognitive style with their navigation behaviors: A data-mining approach. In Human-Computer Interaction: Users and Applications - 14th International Conference, HCI International 2011, Proceedings (PART 4 ed., pp. 27-34). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6764 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-21619-0_4

Hsu, Yung Chi ; Chen, Sherry Y. / Associating learners' cognitive style with their navigation behaviors : A data-mining approach. Human-Computer Interaction: Users and Applications - 14th International Conference, HCI International 2011, Proceedings. PART 4. ed. 2011. pp. 27-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).

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abstract = "Investigating how learners' individual differences affect their navigation behavior can help us understand learners' preferences and can be used to develop the Web-based learning system that can meet learners' needs. Among various individual differences, learners' cognitive styles need to be considered because it is concerned how users process information. There is also a need to examine the relationship between their navigation behavior and performance because such findings can be used to suggest suitable navigation tools to meet learners' real needs. To this end, the aims of this study tend to use a data mining approach to not only investigate the relationship between learners' cognitive styles and their navigation behavior but also analyze how their navigation behavior influence performance. The results indicate that holists and serialists have different navigation behavior. However, there is no direct relationship between learning performance and navigation behavior.",

keywords = "cognitive styles, Data mining, learning performance, navigation behavior",

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Hsu, YC & Chen, SY 2011, Associating learners' cognitive style with their navigation behaviors: A data-mining approach. in Human-Computer Interaction: Users and Applications - 14th International Conference, HCI International 2011, Proceedings. PART 4 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 6764 LNCS, pp. 27-34, 14th International Conference on Human-Computer Interaction, HCI International 2011, Orlando, FL, United States, 9/07/11. https://doi.org/10.1007/978-3-642-21619-0_4

Associating learners' cognitive style with their navigation behaviors : A data-mining approach. / Hsu, Yung Chi; Chen, Sherry Y.

Human-Computer Interaction: Users and Applications - 14th International Conference, HCI International 2011, Proceedings. PART 4. ed. 2011. p. 27-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6764 LNCS, No. PART 4).

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

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AU - Hsu, Yung Chi

AU - Chen, Sherry Y.

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AB - Investigating how learners' individual differences affect their navigation behavior can help us understand learners' preferences and can be used to develop the Web-based learning system that can meet learners' needs. Among various individual differences, learners' cognitive styles need to be considered because it is concerned how users process information. There is also a need to examine the relationship between their navigation behavior and performance because such findings can be used to suggest suitable navigation tools to meet learners' real needs. To this end, the aims of this study tend to use a data mining approach to not only investigate the relationship between learners' cognitive styles and their navigation behavior but also analyze how their navigation behavior influence performance. The results indicate that holists and serialists have different navigation behavior. However, there is no direct relationship between learning performance and navigation behavior.

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Hsu YC, Chen SY. Associating learners' cognitive style with their navigation behaviors: A data-mining approach. In Human-Computer Interaction: Users and Applications - 14th International Conference, HCI International 2011, Proceedings. PART 4 ed. 2011. p. 27-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). doi: 10.1007/978-3-642-21619-0_4

Associating learners' cognitive style with their navigation behaviors: A data-mining approach

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

Pire:Building Extreme Weather Resiliency through Improved Weather and Climate Prediction and Public Response Strategies(5/5)

Cite this