Survey Analysis To Identify the Creative Thinking Attributes To Cope E-learning Strategies To Improve e-Learning Process

Hanan Etaher Dagez (1) , Hassan Al Sari (2)
(1) Department of Software Engineering, Faculty of Information Technology, University of Tripoli, Libya., Libya,
(2) Information Technology Department, School of Applied Sciences, Academy of Graduate Studies, Tripoli, Libya., Libya

Abstract

This paper is part of research attempted to develop an intelligent tutoring systems to support who have the characteristic of creative thinking to gain efficient knowledge in appropriate e-learning strategy. This is part of intelligent tutoring system uses neural network to obtain the characteristic of creative thinking student level and accommodate them in appropriate e-learning strategy. This paper presents the analysis and survey result conducted to determine the characteristics of talented and creative thinking.

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References

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Authors

Hanan Etaher Dagez
[email protected] (Primary Contact)
Hassan Al Sari
Etaher Dagez, H. ., & Al Sari, H. (2019). Survey Analysis To Identify the Creative Thinking Attributes To Cope E-learning Strategies To Improve e-Learning Process. Journal of Pure & Applied Sciences , 18(4), 297–301. https://doi.org/10.51984/jopas.v18i4.509

Article Details

How to Cite

Etaher Dagez, H. ., & Al Sari, H. (2019). Survey Analysis To Identify the Creative Thinking Attributes To Cope E-learning Strategies To Improve e-Learning Process. Journal of Pure & Applied Sciences , 18(4), 297–301. https://doi.org/10.51984/jopas.v18i4.509

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