doi: 10.7763/IJCTE.2018.V10.1218
Data Driven Information Flow in E-Universities: A Process Modeling Analysis
Rasha Ismail
,
Atik Kulakli
- American University of the Middle East, Egaila, 15453 Kuwait.
Abstract
Advancements in information and communication have a big impact on people’s life. The quality of information affects the decisions made by the management. This paper focusses on the analysis of data flow in the of ‘Handling a lecture’ process at two universities. Based on the process analysis, the demonstration of the activities, roles and data flow enabled the authors to compare the flow of data in the two processes. This analysis aids in evaluating the quality of data and the means of improvements to obtain well-structured data for better analysis and decision making. The impact of improvement will need to be reflected again in the process model, which indicates a triangulation between both techniques and thus each one reinforces the other. Accordingly, such methodology could be generalized and used in other universities that are aiming to make the transition to e-learning.
Keywords
- E-University
- lesson planning
- virtual learning
- e-learning
- information flow
- knowledge sharing
- process modeling
How to Cite
Rasha Ismail and Atik Kulakli, "Data Driven Information Flow in E-Universities: A Process Modeling Analysis," International Journal of Computer Theory and Engineering, vol. 10, no. 5, pp. 158-163, 2018. https://doi.org/10.7763/IJCTE.2018.V10.1218
Copyright & License
Copyright © 2018 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).