Optimization of the Guidance Process for New Bachelors for the Choice Of Training in Higher Education in Cameroon Using ICT

ABESSOLO ALO’O Ghislain¹ , OLLE OLLE Daniel Georges² , SOKOUDJOU TATSINKE Loveline³

1. Dept. of Computer Science / Faculty of sciences, University of Yaounde I, Yaounde, Cameroun.
2. Dept. of Computer Science / Faculty of sciences, University of Yaounde I, Yaounde, Cameroun.
3. Dept. of Computer Science / Faculty of sciences, University of Yaounde I, Yaounde, Cameroun.

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.4 , pp.67-74, Aug-2023

Online published on Aug 31, 2023

Copyright © ABESSOLO ALO’O Ghislain, OLLE OLLE Daniel Georges, SOKOUDJOU TATSINKE Loveline . 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.
 

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Abstract :
Entering higher education in Cameroon is an important moment for young people who have completed their secondary education. It is a time when they lay the foundations for their future careers. They are called upon to make a decision: to choose a course of study. This decision is very important and can be influenced by a number of formal and informal factors. The academic guidance services responsible for helping these young people make their choices are facing enormous difficulties, including a quantitative and qualitative shortage of staff. This situation has a number of consequences, including wasted education, unresolved choices and mismatches between education and employment. The problem identified here is known in the literature as a decision support problem. Two categories of approaches are proposed to solve this type of problem, namely multi-criteria decision support algorithms and solutions based on machine learning and recommendation systems. This second category of methods puts much more emphasis on the profile, which refers to the academic background of the actor, and seems to neglect the actor`s preferences, which are very important in the selection process. Consequently, taking into account the actor`s preferences in the selection process remains an open problem in the scientific community. In this paper, we propose an optimized school selection process based on ICT. The process integrates an actor`s profile and preferences to better refine his choice. The proposed process has made it possible to develop a prototype that guides a new bachelor to the best higher education in Cameroon.

Key-Words / Index Term :
QoS, Business Process Optimization, Business Process Modeling, School Guidance

References :
[1]. Bapes Bapes, “activités des conseillers d`orientation dans les établissements scolaires et d`enseignement secondaire”, “Circulaire N 02/B1/14/C/MINESEC/CAB, 2014.
[2]. Bomda Joseph, “Le droit à l`information et l`orientation scolaires et professionnelles (IOSP) au Cameroun face au défi du jacobinisme hérité de la tutelle française Summary”, International Multilingual Journal of Science and Technology (IMJST), Vol. 6, Issue.1, pp. 2-12, 2021.
[3]. Bomda & Kemtchuain, “Self-construction process and professional choice among Cameroonian students”, Éducation et socialisation, 2015.
[4]. Guichard and Huteau, “How do students make their career decisions?”, International Journal for Educational and Vocational Guidance, Vol.1, Issue.3, pp.155-176, 2006.
[5]. Idlimam, Raja, et al. "Using the analytical hierarchy process to select a suitable drying method for the dandelion leaves." AIP Conference Proceedings. Vol. 2345, Issue.1, pp. 38 42, 2021.
[6]. Kannan Govindan and Martin Brandt Jepsen, “ELECTRE: A comprehensive literature review on methodologies and applications”, European Journal of Operational Research, Vol. 250, Issue.1, pp. 1-29, 2016.
[7]. Khadidja Yachba & Zakaria Bendaoud & Karim Bouamrane, "Toward a Decision Support System for Regulation in an Urban Transport Network," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, Vol. 9(2), Issue. 3, pp 1-17, 2018
[8]. Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi, “The Multi-Criteria Approach for Decision Support”, International Series in Operations Research & Management Science, Vol.300, Issue.8, pp.10-19, 2020.
[9]. Maroi AGREBI, "Multi-attribute and multi-actor decision support methods for Solving the selection problem in a certain/uncertain environment: The case of distribution centre location," PhD thesis, Université Polytechnique Hauts-de-France, 2018.
[10]. N. Benmoussa, A. Elyamami, K. Mansouri, M. Qbadou, and E. Illoussamen, “A Multi-Criteria Decision Making Approach for Enhancing University Accreditation Process”, Eng. Technol. Appl. Sci. Res., Vol. 9, Issue.1, pp. 3726–3733, 2019.
[11]. NITCHEU Hermann, "Recommandation de filières à l`aide du big data Analytics: application à l`orientation académiqu", Master 2 thesis, University of Yaoundé 1, 2022.
[12]. Paelinck J. (1978). Qualiflex, a flexible multiple criteria method. Econ. Lett, Vol.3, Issue.2, pp.193–197, 1978.
[13]. Roubens M., “Preference relations on actions and criteria in multiple criteria decision making”, Eur. J. Oper. Res., Vol.10, Issue.4, pp.51–55, 1981.
[14]. Sami Ben Mena, “Introduction to multicriteria methods for decision support”, International Series in Operations Research & Management Science, Vol.5, Issue.3, pp.2726–2733, 2000.
[15]. Surabhi Dwivedi & VS Kumari Roshni , "Recommender system for big data in education", In the 2017 5th National Conference on E-Learning & E-Learning Technologies, Australia, pp.122-128, 2017.