A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

Gwo Haur Hwang; Beyin Chen; Sherry Y. Chen

A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

Gwo Haur Hwang, Beyin Chen, Sherry Y. Chen

Graduate Institute of Network Learning Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.

Original language	English
Pages	735-737
Number of pages	3
State	Published - 2012
Event	20th International Conference on Computers in Education, ICCE 2012 - Singapore, Singapore Duration: 26 Nov 2012 → 30 Nov 2012

Conference

Conference	20th International Conference on Computers in Education, ICCE 2012
Country/Territory	Singapore
City	Singapore
Period	26/11/12 → 30/11/12

Keywords

E-learning content recommendation
Half-life theory
Personalization preference

Cite this

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title = "A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect",

abstract = "The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.",

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year = "2012",

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A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect. / Hwang, Gwo Haur; Chen, Beyin; Chen, Sherry Y.
2012. 735-737 Paper presented at 20th International Conference on Computers in Education, ICCE 2012, Singapore, Singapore.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

AU - Hwang, Gwo Haur

AU - Chen, Beyin

AU - Chen, Sherry Y.

PY - 2012

Y1 - 2012

N2 - The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.

AB - The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.

KW - E-learning content recommendation

KW - Half-life theory

KW - Personalization preference

UR - http://www.scopus.com/inward/record.url?scp=84896333870&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:84896333870

SP - 735

EP - 737

T2 - 20th International Conference on Computers in Education, ICCE 2012

Y2 - 26 November 2012 through 30 November 2012

ER -

A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

Abstract

Conference

Keywords

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Cite this