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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IEEE
2011
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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. |
collection | ePrints |
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. |
first_indexed | 2024-03-05T18:43:58Z |
format | Book Section |
id | utm.eprints-29179 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T18:43:58Z |
publishDate | 2011 |
publisher | IEEE |
record_format | dspace |
spelling | utm.eprints-291792017-02-04T07:46:57Z http://eprints.utm.my/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 |
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 |
title | 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_short | 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 |
topic | QA75 Electronic computers. Computer science |
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