General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2018 Vol.10(5): 158-163 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2018.V10.1218

Data Driven Information Flow in E-Universities: A Process Modeling Analysis

Rasha Ismail and Atik Kulakli

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.

Index Terms—E-University, lesson planning, virtual learning, e-learning, information flow, knowledge sharing, process modeling.

Rasha Ismail and Atik Kulakli are with American University of the Middle East, Egaila, 15453 Kuwait (e-mail: rashafa@gmail.com, atik.kulakli@aum.edu.kw).

[PDF]

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.


Copyright © 2008-2024. International Association of Computer Science and Information Technology. All rights reserved.