GOOD ACADEMIC GOVERNANCE USING ARIMA MODELS: CASE STUDY OF THE PREDICTION OF NEW STUDENTS AT THE FACULTY OF ECONOMIC AND SOCIAL SCIENCES IN TANGIER, MOROCCO

Autori

  • Ghafir Adil Doctoral Student, Abdelmalek Essaadi University, Research Team in Management & Dynamics of Organizations, Morocco
  • Bennani Anas Professor, Abdelmalek Essaadi University, Research laboratory Innovative Systems Engineering, Morocco
  • El Hajjaji Soukaina Professor, Abdelmalek Essaadi University, Research Team in Management & Dynamics of Organizations, Morocco
  • Tali Abdelhak Professor, Abdelmalek Essaadi University, Information and Communication Technologies Laboratory, Morocco

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https://doi.org/10.46827/ejefr.v8i8.1932

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academic governance##common.commaListSeparator## decision-making##common.commaListSeparator## forecasting##common.commaListSeparator## ARIMA##common.commaListSeparator## GARCH

Abstrakt

Currently, good governance of Moroccan universities plays a crucial role in guiding their strategies to achieve objectives such as efficient resource allocation and improvement of educational performance. Accurate estimates of future student numbers are essential to actively participate in the effective management of human resources, infrastructure and academic programs. In this context, this work aims to predict the number of students enrolled in the fundamental license of the Faculty of Economic and Social Sciences of Tangier, reporting to the Abdelmalek Essaâdi University in Morocco. The choice of the essential degree is explained by its open access character, which guarantees students wishing to continue their studies in this cycle enrollment without restriction. In addition, this institution was selected because of the particularly high number of new students it registers, surpassing other institutions of the university. This study is based on actual data provided by the establishment, which encourages scientific research to ensure good governance in the coming years. This study was carried out using the ARIMA model.

JEL: I23; C53; H75; O21

 

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##submission.authorBiographies##

  • ##submission.authorWithAffiliation##

    Adil Ghafir is a PhD student in university governance with a strong interest in artificial intelligence and decision-making. His research focuses on optimizing academic decision-making processes and designing intelligent assistants. He also has knowledge in developing AI agents and multi-agent systems, aiming to enhance efficiency and automation in academic and institutional management.

  • ##submission.authorWithAffiliation##

    Anas Bennani is a professor and researcher at Abdelmalek Essaâdi University, Morocco specializing in data analysis, decision support systems, and public sector digital policies. Passionate about AI, NTIC, and their legal frameworks, he researches semantic web technologies and their applications. He is committed to advancing digital transformation and higher education in Morocco.

  • ##submission.authorWithAffiliation##

    Abdelhak Tali is a professor and researcher at Abdelmalek Essaâdi University, Morocco. He specializes in artificial intelligence, data science, and blockchain technologies. He coordinates the Master’s program in Data Science for the Digital Economy and Finance. His research focuses on machine learning, biometric identification, and intelligent systems, with expertise in deep learning and big data analytics.

  • ##submission.authorWithAffiliation##

    Soukaina El Hajjaji is a professor and researcher at the Faculty of Legal, Economic, and Social Sciences in Tangier, Morocco. She specializes in project and quality management, governance, and leadership, with a focus on university governance, decision-making processes, and institutional performance. Her work aims to improve strategic planning, organizational efficiency, and higher education policies.

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Publikované

2025-04-29

Číslo

Diel 8 Číslo 8 (2025)

Sekcia

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