Using gray relation analysis (GRA) technique to implement evaluation criteria for computer skill instruction

Ming Chou Liu; Chin Ming Hong; Ching Tsan Chiang

Using gray relation analysis (GRA) technique to implement evaluation criteria for computer skill instruction

Ming Chou Liu^*, Chin Ming Hong, Ching Tsan Chiang

^*Corresponding author for this work

Department of Electrical Engineering

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

Abstract

This study is to investigate how the evaluation criteria for computer skill instruction can be implemented by the method of Gray Relation Analysis (GRA). Nine experts' opinions were gathered and analysed to find appropriate and usable evaluation criteria. Twenty-one initial computer skill evaluation items were merged into nine groups so that the process of evaluation will be conducted more fluently. Finally, the application of GRA in this study, abstracting a few experts' opinions, shows a more effective, efficient and flexible method, and comes to a more acceptable conclusion.

Original language	English
Pages	1013-1018
Number of pages	6
Publication status	Published - 1997
Event	Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97 - St.Louis, MO, USA Duration: 1997 Nov 9 → 1997 Nov 12

Conference

Conference	Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97
City	St.Louis, MO, USA
Period	1997/11/09 → 1997/11/12

ASJC Scopus subject areas

Software

Cite this

Using gray relation analysis (GRA) technique to implement evaluation criteria for computer skill instruction. / Liu, Ming Chou; Hong, Chin Ming; Chiang, Ching Tsan.
1997. 1013-1018 Paper presented at Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97, St.Louis, MO, USA.

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

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abstract = "This study is to investigate how the evaluation criteria for computer skill instruction can be implemented by the method of Gray Relation Analysis (GRA). Nine experts' opinions were gathered and analysed to find appropriate and usable evaluation criteria. Twenty-one initial computer skill evaluation items were merged into nine groups so that the process of evaluation will be conducted more fluently. Finally, the application of GRA in this study, abstracting a few experts' opinions, shows a more effective, efficient and flexible method, and comes to a more acceptable conclusion.",

author = "Liu, {Ming Chou} and Hong, {Chin Ming} and Chiang, {Ching Tsan}",

year = "1997",

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note = "Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97 ; Conference date: 09-11-1997 Through 12-11-1997",

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AU - Hong, Chin Ming

AU - Chiang, Ching Tsan

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N2 - This study is to investigate how the evaluation criteria for computer skill instruction can be implemented by the method of Gray Relation Analysis (GRA). Nine experts' opinions were gathered and analysed to find appropriate and usable evaluation criteria. Twenty-one initial computer skill evaluation items were merged into nine groups so that the process of evaluation will be conducted more fluently. Finally, the application of GRA in this study, abstracting a few experts' opinions, shows a more effective, efficient and flexible method, and comes to a more acceptable conclusion.

AB - This study is to investigate how the evaluation criteria for computer skill instruction can be implemented by the method of Gray Relation Analysis (GRA). Nine experts' opinions were gathered and analysed to find appropriate and usable evaluation criteria. Twenty-one initial computer skill evaluation items were merged into nine groups so that the process of evaluation will be conducted more fluently. Finally, the application of GRA in this study, abstracting a few experts' opinions, shows a more effective, efficient and flexible method, and comes to a more acceptable conclusion.

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Using gray relation analysis (GRA) technique to implement evaluation criteria for computer skill instruction

Abstract

Conference

ASJC Scopus subject areas

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