International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 7, Issue 1 (January 2020), Pages: 6-19

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 Original Research Paper

 Title: How can one improve the logistics process of academic orientation? Neural network programming to support the decision-making system in a university career

 Author(s): Fazel Hesham 1, *, Harizi Riadh 1, 2

 Affiliation(s):

 1Department of Business Administration, College of Business, University of Bisha, Bisha, Saudi Arabia
 2GEF2A Laboratory, Tunis University, Tunis, Tunisia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-3973-5867

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2020.01.002

 Abstract:

The student’s inappropriate choice university orientation may result in their failure and their changing of the section in search of success in another field. It results in many losses, including effort, time, and private and public money. We aim to find an effective mechanism to support the student's decision to choose one discipline using the Artificial Neural Network (ANN) to explore the student's future based on their skills. According to the profile of each student, the first ANN can predict whether the student may fail in their university curriculum. The second ANN categorizes the student in one of two ways, as a good or a bad candidate for a discipline. Consequently, the proposed logistics process in university orientation programs helps executive management to make appropriate decisions in directing students to the most appropriate choice and to start university studies in the academic specialization most appropriate to the student's abilities. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Artificial neural network, Decision making, Logistical policy, Student’s choice

 Article History: Received 30 July 2019, Received in revised form 19 October 2019, Accepted 22 October 2019

 Acknowledgment:

The authors are grateful to the Deanship of Scientific Research at the University of Bisha, Saudi Arabia for funding this work through the General Research Project under grant number (UB-57-1438).

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Hesham F and Riadh H (2020). How can one improve the logistics process of academic orientation? Neural network programming to support the decision-making system in a university career. International Journal of Advanced and Applied Sciences, 7(1): 6-19

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 Fig. 11 Fig. 12 Fig. 13 

 Tables

 Table 1 Table 2

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