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Intelligent reflective e-portfolio framework supported by Problem Based Learning

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3 Author(s)
Jaryani, F. ; Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia ; Daneshvar, H. ; Sahibudin, S.

The aim of this paper is to present the role of Artificial Intelligence techniques to enhance reflective e-portfolios quality. Some AI techniques such as expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. To get better result the designed portfolio has been supported by Problem Based Learning as an effective educational method. 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. 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.

Published in:

Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on  (Volume:5 )

Date of Conference:

20-22 Aug. 2010