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Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques

The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together wi...

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Main Authors: Jaryani, F., Ibrahim, Suhaimi, Daruis, Rusni, Sahibuddin, Shamsul, Rahman, N. A.
Format: Book Section
Published: IEEE 2011
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/29179/
http://dx.doi.org/10.1109/ICCRD.2011.5764117
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spelling my.utm.291792017-02-04T07:46:57Z http://eprints.utm.my/id/eprint/29179/ Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques Jaryani, F. Ibrahim, Suhaimi Daruis, Rusni Sahibuddin, Shamsul Rahman, N. A. QA75 Electronic computers. Computer science The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together will define new intelligent Reflective e-portfolio that provides intelligent and customized learning method for each student based on their backgrounds and their realities. This paper analyzes the role of AI-Expert Systems to enhance learning smartness. The final vision of intelligent reflective e-portfolio is to act as an expert to consult students and support them to make Right decisions for their learning complexities. IEEE 2011 Book Section PeerReviewed Jaryani, F. and Ibrahim, Suhaimi and Daruis, Rusni and Sahibuddin, Shamsul and Rahman, N. A. (2011) Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques. In: 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, New Jersey, pp. 214-216. ISBN 978-161284837-2 http://dx.doi.org/10.1109/ICCRD.2011.5764117 10.1109/ICCRD.2011.5764117
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Jaryani, F.
Ibrahim, Suhaimi
Daruis, Rusni
Sahibuddin, Shamsul
Rahman, N. A.
Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
description The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together will define new intelligent Reflective e-portfolio that provides intelligent and customized learning method for each student based on their backgrounds and their realities. This paper analyzes the role of AI-Expert Systems to enhance learning smartness. The final vision of intelligent reflective e-portfolio is to act as an expert to consult students and support them to make Right decisions for their learning complexities.
format Book Section
author Jaryani, F.
Ibrahim, Suhaimi
Daruis, Rusni
Sahibuddin, Shamsul
Rahman, N. A.
author_facet Jaryani, F.
Ibrahim, Suhaimi
Daruis, Rusni
Sahibuddin, Shamsul
Rahman, N. A.
author_sort Jaryani, F.
title Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
title_short Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
title_full Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
title_fullStr Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
title_full_unstemmed Intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
title_sort intelligent reflective e-portfolio framework based on artificial intelligent expert systems techniques
publisher IEEE
publishDate 2011
url http://eprints.utm.my/id/eprint/29179/
http://dx.doi.org/10.1109/ICCRD.2011.5764117
_version_ 1643648242816122880
score 13.160551

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