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

Department of Computer Science and Information Engineering

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

6 Scopus citations

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
State	Published - 2013
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: 1 Jul 2013 → 3 Jul 2013

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	1/07/13 → 3/07/13

Keywords

adaptive learning
cognitive style
learning style
personalization

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

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)).

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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.",

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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, 1/07/13. 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 › peer-review

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AU - Hwang, Gwo Jen

AU - Chiang, Tosti H.C.

AU - Yang, Stephen J.H.

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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.

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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

A multi-dimensional personalization approach to developing adaptive learning systems

Abstract

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Keywords

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