Survey Analysis To Identify the Creative Thinking Attributes To Cope E-learning Strategies To Improve e-Learning Process
Article Sidebar
-
e-learning strategy, talented learner, creative thinking.
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.
Full text article
Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
In a brief statement, the rights relate to the publication and distribution of research published in the journal of the University of Sebha where authors who have published their articles in the journal of the university of Sebha should how they can use or distribute their articles. They reserve all their rights to the published works, such as (but not limited to) the following rights:
- Copyright and other property rights related to the article, such as patent rights.
- Research published in the journal of the University of Sebha and used in its future works, including lectures and books, the right to reproduce articles for their own purposes, and the right to self-archive their articles.
- The right to enter a separate article, or for a non-exclusive distribution of their article with an acknowledgment of its initial publication in the journal of Sebha University.
Privacy Statement The names and e-mail addresses entered on the Sabha University Journal site will be used for the aforementioned purposes only and for which they were used.