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Farzaneh, M.; Raeesi Vanani, I.; Sohrabi, B.; Utilization of Intelligent Software Agent Features for Improving E-Learning Efforts: A Comprehensive Investigation, International Journal of Virtual and Personal Learning Environments, 2012, 3, 55-68.

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Article

Decision Support System Using for Learning Management Systems Personalization

1IT Engineering, Shiraz University, Iran

2Department of Computer, Payame Noor University, Tehran, Iran


American Journal of Systems and Software. 2014, Vol. 2 No. 5, 131-138
DOI: 10.12691/ajss-2-5-4
Copyright © 2014 Science and Education Publishing

Cite this paper:
Zahra Shabani, Mohammad Eshaghian. Decision Support System Using for Learning Management Systems Personalization. American Journal of Systems and Software. 2014; 2(5):131-138. doi: 10.12691/ajss-2-5-4.

Correspondence to: Mohammad  Eshaghian, Department of Computer, Payame Noor University, Tehran, Iran. Email: m_eshaghian@pnu.ac.ir

Abstract

Among all electronic movements, electronic learning is rapidly increasing and has global popularity. One of the most important factors in these learning courses is regarding learners’ personal differences and developing flexible and intelligent interaction with users through personalization techniques. Besides that, the researches results show the personalization approaches haven’t been applied efficiently in these systems yet. One of the most beneficial technologies in this field is supporter decision system. In other words, unifying supporter decision tools and electronic learning system leads to intelligent learning facility and increases learning courses productivity. The current research, at first, has carried out the study about decision support systems applications in order to learning management system personalization and then as a research sample, identified some different requirements of learning management system users of electronic college of Shiraz university; and suggest some scenarios. Using decision support system capabilities, new scenarios suggested in follow based on suggesting environment personalization solution to improving function and increasing different learners efficiently learning.

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