Learning path construction based on association link network

Fan Yang; Frederick W. B. Li; Rynson W. H. Lau

doi:10.1007/978-3-642-33642-3_13

Learning path construction based on association link network

Fan Yang
, Frederick W. B. Li
, Rynson W. H. Lau

Department of Computer Science

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

11 Citations (Scopus)

Abstract

Nowadays the Internet virtually serves as a library for people to quickly retrieve information (Web resources) on what they want to learn. Reusing Web resources to form learning resources offers a way for rapid construction of self-pace or even formal courses. This requires identifying suitable Web resources and organizing such resources into proper sequences for delivery. However, getting these done is challenging, as they need to determine a set of Web resources properties, including the relevance, importance and complexity of Web resources to students as well as the relationships among Web resources, which are not trivial to be done automatically. Particularly each student has different needs. To address the above problems, we present a learning path generation method based on the Association Link Network (ALN), which works out Web resources properties by exploiting the association among Web resources. Our experiments show that the proposed method can generate good quality learning paths and help improve student learning. © 2012 Springer-Verlag.

Original language	English
Title of host publication	Advances in Web-Based Learning, ICWL 2012
Subtitle of host publication	11th International Conference, Proceedings
Publisher	Springer Verlag
Pages	120-131
Volume	7558 LNCS
ISBN (Print)	9783642336416
DOIs	https://doi.org/10.1007/978-3-642-33642-3_13
Publication status	Published - 2012
Event	11th International Conference on Advances in Web-Based Learning, ICWL 2012 - Sinaia, Romania Duration: 2 Sept 2012 → 4 Sept 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7558 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Advances in Web-Based Learning, ICWL 2012
Place	Romania
City	Sinaia
Period	2/09/12 → 4/09/12

UN SDGs

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

SDG 4 Quality Education

Research Keywords

Association Link Network
Learning Path
Learning Resources

Access Output

10.1007/978-3-642-33642-3_13

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Permanent Link

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Cite this

Yang, F., Li, F. W. B., & Lau, R. W. H. (2012). Learning path construction based on association link network. In Advances in Web-Based Learning, ICWL 2012: 11th International Conference, Proceedings (Vol. 7558 LNCS, pp. 120-131). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7558 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33642-3_13

Yang, Fan ; Li, Frederick W. B. ; Lau, Rynson W. H. / Learning path construction based on association link network. Advances in Web-Based Learning, ICWL 2012: 11th International Conference, Proceedings. Vol. 7558 LNCS Springer Verlag, 2012. pp. 120-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{168d428e6aed4d13bb0a38efb37edb77,

title = "Learning path construction based on association link network",

abstract = "Nowadays the Internet virtually serves as a library for people to quickly retrieve information (Web resources) on what they want to learn. Reusing Web resources to form learning resources offers a way for rapid construction of self-pace or even formal courses. This requires identifying suitable Web resources and organizing such resources into proper sequences for delivery. However, getting these done is challenging, as they need to determine a set of Web resources properties, including the relevance, importance and complexity of Web resources to students as well as the relationships among Web resources, which are not trivial to be done automatically. Particularly each student has different needs. To address the above problems, we present a learning path generation method based on the Association Link Network (ALN), which works out Web resources properties by exploiting the association among Web resources. Our experiments show that the proposed method can generate good quality learning paths and help improve student learning. {\textcopyright} 2012 Springer-Verlag.",

keywords = "Association Link Network, Learning Path, Learning Resources",

author = "Fan Yang and Li, \{Frederick W. B.\} and Lau, \{Rynson W. H.\}",

year = "2012",

doi = "10.1007/978-3-642-33642-3\_13",

language = "English",

isbn = "9783642336416",

volume = "7558 LNCS",

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

publisher = "Springer Verlag",

pages = "120--131",

booktitle = "Advances in Web-Based Learning, ICWL 2012",

address = "Germany",

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Yang, F, Li, FWB & Lau, RWH 2012, Learning path construction based on association link network. in Advances in Web-Based Learning, ICWL 2012: 11th International Conference, Proceedings. vol. 7558 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7558 LNCS, Springer Verlag, pp. 120-131, 11th International Conference on Advances in Web-Based Learning, ICWL 2012, Sinaia, Romania, 2/09/12. https://doi.org/10.1007/978-3-642-33642-3_13

Learning path construction based on association link network. / Yang, Fan; Li, Frederick W. B.; Lau, Rynson W. H.
Advances in Web-Based Learning, ICWL 2012: 11th International Conference, Proceedings. Vol. 7558 LNCS Springer Verlag, 2012. p. 120-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7558 LNCS).

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

TY - GEN

T1 - Learning path construction based on association link network

AU - Yang, Fan

AU - Li, Frederick W. B.

AU - Lau, Rynson W. H.

PY - 2012

Y1 - 2012

N2 - Nowadays the Internet virtually serves as a library for people to quickly retrieve information (Web resources) on what they want to learn. Reusing Web resources to form learning resources offers a way for rapid construction of self-pace or even formal courses. This requires identifying suitable Web resources and organizing such resources into proper sequences for delivery. However, getting these done is challenging, as they need to determine a set of Web resources properties, including the relevance, importance and complexity of Web resources to students as well as the relationships among Web resources, which are not trivial to be done automatically. Particularly each student has different needs. To address the above problems, we present a learning path generation method based on the Association Link Network (ALN), which works out Web resources properties by exploiting the association among Web resources. Our experiments show that the proposed method can generate good quality learning paths and help improve student learning. © 2012 Springer-Verlag.

AB - Nowadays the Internet virtually serves as a library for people to quickly retrieve information (Web resources) on what they want to learn. Reusing Web resources to form learning resources offers a way for rapid construction of self-pace or even formal courses. This requires identifying suitable Web resources and organizing such resources into proper sequences for delivery. However, getting these done is challenging, as they need to determine a set of Web resources properties, including the relevance, importance and complexity of Web resources to students as well as the relationships among Web resources, which are not trivial to be done automatically. Particularly each student has different needs. To address the above problems, we present a learning path generation method based on the Association Link Network (ALN), which works out Web resources properties by exploiting the association among Web resources. Our experiments show that the proposed method can generate good quality learning paths and help improve student learning. © 2012 Springer-Verlag.

KW - Association Link Network

KW - Learning Path

KW - Learning Resources

UR - https://www.scopus.com/pages/publications/84866034110

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84866034110&origin=recordpage

U2 - 10.1007/978-3-642-33642-3_13

DO - 10.1007/978-3-642-33642-3_13

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

SN - 9783642336416

VL - 7558 LNCS

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

SP - 120

EP - 131

BT - Advances in Web-Based Learning, ICWL 2012

PB - Springer Verlag

T2 - 11th International Conference on Advances in Web-Based Learning, ICWL 2012

Y2 - 2 September 2012 through 4 September 2012

ER -

Yang F, Li FWB, Lau RWH. Learning path construction based on association link network. In Advances in Web-Based Learning, ICWL 2012: 11th International Conference, Proceedings. Vol. 7558 LNCS. Springer Verlag. 2012. p. 120-131. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33642-3_13

Learning path construction based on association link network

Abstract

Publication series

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UN SDGs

Research Keywords

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