Mining formative evaluation rules using learning portfolios for web-based learning systems

Chih Ming Chen; Chin Ming Hong; Shyuan Yi Chen; Chao Yu Liu

Mining formative evaluation rules using learning portfolios for web-based learning systems

Chih Ming Chen^*, Chin Ming Hong, Shyuan Yi Chen, Chao Yu Liu

^*Corresponding author for this work

Department of Electrical Engineering

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

1 Citation (Scopus)

Abstract

Learning performance assessment using learning portfolios is becoming an essential research issue in web-based learning, owing to the rapid growth of e-learning systems. This study presents a learning performance assessment scheme by combining four computational intelligence theories to identify the learning performance assessment rules using the web-based learning portfolios. Experimental results indicated that the evaluation results of the proposed scheme are very close to those of summative assessment results of grade levels. More significantly, teachers could understand the factors influencing learning performance in a web-based learning environment according to the obtained interpretable learning performance assessment rules.

Original language	English
Title of host publication	International Joint Conference on Neural Networks 2006, IJCNN '06
Pages	2386-2393
Number of pages	8
Publication status	Published - 2006
Event	International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada Duration: 2006 Jul 16 → 2006 Jul 21

Publication series

Name	IEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)	1098-7576

Other

Other	International Joint Conference on Neural Networks 2006, IJCNN '06
Country/Territory	Canada
City	Vancouver, BC
Period	2006/07/16 → 2006/07/21

ASJC Scopus subject areas

Software

Cite this

Mining formative evaluation rules using learning portfolios for web-based learning systems. / Chen, Chih Ming; Hong, Chin Ming ; Chen, Shyuan Yi et al.
International Joint Conference on Neural Networks 2006, IJCNN '06. 2006. p. 2386-2393 1716413 (IEEE International Conference on Neural Networks - Conference Proceedings).

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

Chen, CM, Hong, CM , Chen, SY & Liu, CY 2006, Mining formative evaluation rules using learning portfolios for web-based learning systems. in International Joint Conference on Neural Networks 2006, IJCNN '06., 1716413, IEEE International Conference on Neural Networks - Conference Proceedings, pp. 2386-2393, International Joint Conference on Neural Networks 2006, IJCNN '06, Vancouver, BC, Canada, 2006/07/16.

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abstract = "Learning performance assessment using learning portfolios is becoming an essential research issue in web-based learning, owing to the rapid growth of e-learning systems. This study presents a learning performance assessment scheme by combining four computational intelligence theories to identify the learning performance assessment rules using the web-based learning portfolios. Experimental results indicated that the evaluation results of the proposed scheme are very close to those of summative assessment results of grade levels. More significantly, teachers could understand the factors influencing learning performance in a web-based learning environment according to the obtained interpretable learning performance assessment rules.",

author = "Chen, {Chih Ming} and Hong, {Chin Ming} and Chen, {Shyuan Yi} and Liu, {Chao Yu}",

year = "2006",

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isbn = "0780394909",

series = "IEEE International Conference on Neural Networks - Conference Proceedings",

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Y1 - 2006

N2 - Learning performance assessment using learning portfolios is becoming an essential research issue in web-based learning, owing to the rapid growth of e-learning systems. This study presents a learning performance assessment scheme by combining four computational intelligence theories to identify the learning performance assessment rules using the web-based learning portfolios. Experimental results indicated that the evaluation results of the proposed scheme are very close to those of summative assessment results of grade levels. More significantly, teachers could understand the factors influencing learning performance in a web-based learning environment according to the obtained interpretable learning performance assessment rules.

AB - Learning performance assessment using learning portfolios is becoming an essential research issue in web-based learning, owing to the rapid growth of e-learning systems. This study presents a learning performance assessment scheme by combining four computational intelligence theories to identify the learning performance assessment rules using the web-based learning portfolios. Experimental results indicated that the evaluation results of the proposed scheme are very close to those of summative assessment results of grade levels. More significantly, teachers could understand the factors influencing learning performance in a web-based learning environment according to the obtained interpretable learning performance assessment rules.

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M3 - Conference contribution

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T3 - IEEE International Conference on Neural Networks - Conference Proceedings

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BT - International Joint Conference on Neural Networks 2006, IJCNN '06

T2 - International Joint Conference on Neural Networks 2006, IJCNN '06

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ER -

Mining formative evaluation rules using learning portfolios for web-based learning systems

Abstract

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ASJC Scopus subject areas

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