Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure

Yang Yang; Howard Leung; Zhanzhan Liu; Yongzhao Zhan; Lanling Zeng

doi:10.1007/978-3-319-20621-9_23

Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure

Yang Yang, Howard Leung, Zhanzhan Liu, Yongzhao Zhan, Lanling Zeng

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The preferred way people apply in learning is known as learning style. Adapting different learning strategies to different learning styles yields a better learning outcome. In this paper, we describe a novel rule- based approach to detect the students’ learning styles (sequential/global) by analyzing their navigation patterns in the prerequisite structure. In order to evaluate the accuracy of the proposed approach, a case study in dance education was conducted, 32 students were asked to learn 10 dances by browsing the prerequisite structure in a dance education system. Students’ browsing histories are recorded and analyzed so that their learning styles are extracted. The result shows that our approach is optimistic.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	283-293
Volume	9167
ISBN (Print)	9783319206202
DOIs	https://doi.org/10.1007/978-3-319-20621-9_23
Publication status	Published - 2015
Event	8th International Conference on Hybrid Learning (ICHL 2015) - Central China Normal University, Wuhan, China Duration: 27 Jul 2015 → 29 Jul 2015 Conference number: 8

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9167
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Hybrid Learning (ICHL 2015)
Abbreviated title	ICHL
Place	China
City	Wuhan
Period	27/07/15 → 29/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Research Keywords

Dance education
Learning style
Navigation pattern
Prerequisite structure

Access Output

10.1007/978-3-319-20621-9_23

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Cite this

Yang, Y., Leung, H., Liu, Z., Zhan, Y., & Zeng, L. (2015). Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9167, pp. 283-293). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9167). Springer Verlag. https://doi.org/10.1007/978-3-319-20621-9_23

Yang, Yang ; Leung, Howard ; Liu, Zhanzhan et al. / Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9167 Springer Verlag, 2015. pp. 283-293 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Sequential-global learning style detection based on users{\textquoteright} navigation patterns in the prerequisite structure",

abstract = "The preferred way people apply in learning is known as learning style. Adapting different learning strategies to different learning styles yields a better learning outcome. In this paper, we describe a novel rule- based approach to detect the students{\textquoteright} learning styles (sequential/global) by analyzing their navigation patterns in the prerequisite structure. In order to evaluate the accuracy of the proposed approach, a case study in dance education was conducted, 32 students were asked to learn 10 dances by browsing the prerequisite structure in a dance education system. Students{\textquoteright} browsing histories are recorded and analyzed so that their learning styles are extracted. The result shows that our approach is optimistic.",

keywords = "Dance education, Learning style, Navigation pattern, Prerequisite structure",

author = "Yang Yang and Howard Leung and Zhanzhan Liu and Yongzhao Zhan and Lanling Zeng",

year = "2015",

doi = "10.1007/978-3-319-20621-9_23",

language = "English",

isbn = "9783319206202",

volume = "9167",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "283--293",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

note = "8th International Conference on Hybrid Learning (ICHL 2015), ICHL ; Conference date: 27-07-2015 Through 29-07-2015",

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Yang, Y, Leung, H, Liu, Z, Zhan, Y & Zeng, L 2015, Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9167, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9167, Springer Verlag, pp. 283-293, 8th International Conference on Hybrid Learning (ICHL 2015), Wuhan, China, 27/07/15. https://doi.org/10.1007/978-3-319-20621-9_23

Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure. / Yang, Yang; Leung, Howard; Liu, Zhanzhan et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9167 Springer Verlag, 2015. p. 283-293 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9167).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure

AU - Yang, Yang

AU - Leung, Howard

AU - Liu, Zhanzhan

AU - Zhan, Yongzhao

AU - Zeng, Lanling

N1 - Conference code: 8

PY - 2015

Y1 - 2015

N2 - The preferred way people apply in learning is known as learning style. Adapting different learning strategies to different learning styles yields a better learning outcome. In this paper, we describe a novel rule- based approach to detect the students’ learning styles (sequential/global) by analyzing their navigation patterns in the prerequisite structure. In order to evaluate the accuracy of the proposed approach, a case study in dance education was conducted, 32 students were asked to learn 10 dances by browsing the prerequisite structure in a dance education system. Students’ browsing histories are recorded and analyzed so that their learning styles are extracted. The result shows that our approach is optimistic.

AB - The preferred way people apply in learning is known as learning style. Adapting different learning strategies to different learning styles yields a better learning outcome. In this paper, we describe a novel rule- based approach to detect the students’ learning styles (sequential/global) by analyzing their navigation patterns in the prerequisite structure. In order to evaluate the accuracy of the proposed approach, a case study in dance education was conducted, 32 students were asked to learn 10 dances by browsing the prerequisite structure in a dance education system. Students’ browsing histories are recorded and analyzed so that their learning styles are extracted. The result shows that our approach is optimistic.

KW - Dance education

KW - Learning style

KW - Navigation pattern

KW - Prerequisite structure

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84950988942&origin=recordpage

U2 - 10.1007/978-3-319-20621-9_23

DO - 10.1007/978-3-319-20621-9_23

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783319206202

VL - 9167

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

SP - 283

EP - 293

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

PB - Springer Verlag

T2 - 8th International Conference on Hybrid Learning (ICHL 2015)

Y2 - 27 July 2015 through 29 July 2015

ER -

Yang Y, Leung H, Liu Z, Zhan Y, Zeng L. Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9167. Springer Verlag. 2015. p. 283-293. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-20621-9_23

Sequential-global learning style detection based on users’ navigation patterns in the prerequisite structure

Abstract

Publication series

Conference

UN SDGs

Research Keywords

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