A multi-dimensional personalization approach to developing adaptive learning systems

Tzu Chi Yang; Gwo Jen Hwang; Tosti H.C. Chiang; Stephen J.H. Yang

doi:10.1007/978-3-642-39146-0_30

A multi-dimensional personalization approach to developing adaptive learning systems

Tzu Chi Yang, Gwo Jen Hwang, Tosti H.C. Chiang, Stephen J.H. Yang

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

5 Citations (Scopus)

Abstract

In this study, a multi-dimensional personalization approach is pro-posed for developing adaptive learning systems by taking various personalized features into account, including learning styles and cognitive styles of student. In this innovative approach, learning materials were categorized into several types and associated as a learning content based on students' learning styles to provide personalized learning materials and presentation layouts. Furthermore, personalized user interfaces and navigation strategies were developed based on students' cognitive styles. To evaluate the performance of the proposed approach, an experiment was conducted on the learning activity on the learning activity of the "Computer Networks" course of a college in Taiwan. The experimental results showed that the students who learned with the system developed with the proposed approach revealed significantly better learning achievements than the students who learn with conventional adaptive learning system, showing that the proposed is effective and promising.

Original language	English
Title of host publication	Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings
Pages	326-333
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-39146-0_30
Publication status	Published - 2013
Externally published	Yes
Event	3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013 - Maribor, Slovenia Duration: 2013 Jul 1 → 2013 Jul 3

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7947 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013
Country/Territory	Slovenia
City	Maribor
Period	2013/07/01 → 2013/07/03

Keywords

adaptive learning
cognitive style
learning style
personalization

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-39146-0_30

Cite this

Yang, T. C., Hwang, G. J., Chiang, T. H. C., & Yang, S. J. H. (2013). A multi-dimensional personalization approach to developing adaptive learning systems. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings (pp. 326-333). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7947 LNCS). https://doi.org/10.1007/978-3-642-39146-0_30

A multi-dimensional personalization approach to developing adaptive learning systems. / Yang, Tzu Chi; Hwang, Gwo Jen; Chiang, Tosti H.C. et al.
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. 2013. p. 326-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7947 LNCS).

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

Yang, TC, Hwang, GJ, Chiang, THC & Yang, SJH 2013, A multi-dimensional personalization approach to developing adaptive learning systems. in Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7947 LNCS, pp. 326-333, 3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, 2013/07/01. https://doi.org/10.1007/978-3-642-39146-0_30

Yang TC, Hwang GJ, Chiang THC, Yang SJH. A multi-dimensional personalization approach to developing adaptive learning systems. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. 2013. p. 326-333. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39146-0_30

Yang, Tzu Chi ; Hwang, Gwo Jen ; Chiang, Tosti H.C. et al. / A multi-dimensional personalization approach to developing adaptive learning systems. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings. 2013. pp. 326-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{be75b382a36c4b2ebb07a6647d597544,

title = "A multi-dimensional personalization approach to developing adaptive learning systems",

abstract = "In this study, a multi-dimensional personalization approach is pro-posed for developing adaptive learning systems by taking various personalized features into account, including learning styles and cognitive styles of student. In this innovative approach, learning materials were categorized into several types and associated as a learning content based on students' learning styles to provide personalized learning materials and presentation layouts. Furthermore, personalized user interfaces and navigation strategies were developed based on students' cognitive styles. To evaluate the performance of the proposed approach, an experiment was conducted on the learning activity on the learning activity of the {"}Computer Networks{"} course of a college in Taiwan. The experimental results showed that the students who learned with the system developed with the proposed approach revealed significantly better learning achievements than the students who learn with conventional adaptive learning system, showing that the proposed is effective and promising.",

keywords = "adaptive learning, cognitive style, learning style, personalization",

author = "Yang, {Tzu Chi} and Hwang, {Gwo Jen} and Chiang, {Tosti H.C.} and Yang, {Stephen J.H.}",

year = "2013",

doi = "10.1007/978-3-642-39146-0_30",

language = "English",

isbn = "9783642391453",

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

pages = "326--333",

booktitle = "Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings",

note = "3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013 ; Conference date: 01-07-2013 Through 03-07-2013",

}

TY - GEN

T1 - A multi-dimensional personalization approach to developing adaptive learning systems

AU - Yang, Tzu Chi

AU - Hwang, Gwo Jen

AU - Chiang, Tosti H.C.

AU - Yang, Stephen J.H.

PY - 2013

Y1 - 2013

N2 - In this study, a multi-dimensional personalization approach is pro-posed for developing adaptive learning systems by taking various personalized features into account, including learning styles and cognitive styles of student. In this innovative approach, learning materials were categorized into several types and associated as a learning content based on students' learning styles to provide personalized learning materials and presentation layouts. Furthermore, personalized user interfaces and navigation strategies were developed based on students' cognitive styles. To evaluate the performance of the proposed approach, an experiment was conducted on the learning activity on the learning activity of the "Computer Networks" course of a college in Taiwan. The experimental results showed that the students who learned with the system developed with the proposed approach revealed significantly better learning achievements than the students who learn with conventional adaptive learning system, showing that the proposed is effective and promising.

AB - In this study, a multi-dimensional personalization approach is pro-posed for developing adaptive learning systems by taking various personalized features into account, including learning styles and cognitive styles of student. In this innovative approach, learning materials were categorized into several types and associated as a learning content based on students' learning styles to provide personalized learning materials and presentation layouts. Furthermore, personalized user interfaces and navigation strategies were developed based on students' cognitive styles. To evaluate the performance of the proposed approach, an experiment was conducted on the learning activity on the learning activity of the "Computer Networks" course of a college in Taiwan. The experimental results showed that the students who learned with the system developed with the proposed approach revealed significantly better learning achievements than the students who learn with conventional adaptive learning system, showing that the proposed is effective and promising.

KW - adaptive learning

KW - cognitive style

KW - learning style

KW - personalization

UR - http://www.scopus.com/inward/record.url?scp=84879874516&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879874516&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39146-0_30

DO - 10.1007/978-3-642-39146-0_30

M3 - Conference contribution

AN - SCOPUS:84879874516

SN - 9783642391453

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

SP - 326

EP - 333

BT - Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings

T2 - 3rd International Workshop on Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, HCI-KDD 2013, Held at SouthCHI 2013

Y2 - 1 July 2013 through 3 July 2013

ER -

A multi-dimensional personalization approach to developing adaptive learning systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this