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This study explores the potential of Artificial Intelligence (AI) and machine lesarning to streamline and improve the accreditation process for master’s programs in Morocco. We investigate the feasibility of using similarity scores between course offerings to predict a program’s accreditation status. This approach utilizes a scoring algorithm to evaluate the relevance of courses within a master’s program, simplifying the accreditation process and improving its efficiency. Challenges such as data limitations and class imbalance are acknowledged, and a systematic approach for data preprocessing and model development is proposed. A scoring system, based on the cosine similarity of course titles using pre-trained fastText embeddings, is employed to quantify the coherence of a program’s curriculum. The study contributes to the field by exploring AI applications in Moroccan education, proposing user-friendly interfaces for program coordinators, and advancing quality assurance practices globally.

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Enhancing Master Accreditation Processes Through Machine Learning Automation

  • 会议论文

  • 发表日期：

    2025年

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  • Mostafa Ezziyyani,
  • Loubna Cherrat,
  • Salma Chrit,
  • Abderrahim El Youssefi,
  • Amin Aziz

摘要

This study explores the potential of Artificial Intelligence (AI) and machine lesarning to streamline and improve the accreditation process for master’s programs in Morocco. We investigate the feasibility of using similarity scores between course offerings to predict a program’s accreditation status. This approach utilizes a scoring algorithm to evaluate the relevance of courses within a master’s program, simplifying the accreditation process and improving its efficiency. Challenges such as data limitations and class imbalance are acknowledged, and a systematic approach for data preprocessing and model development is proposed. A scoring system, based on the cosine similarity of course titles using pre-trained fastText embeddings, is employed to quantify the coherence of a program’s curriculum. The study contributes to the field by exploring AI applications in Moroccan education, proposing user-friendly interfaces for program coordinators, and advancing quality assurance practices globally.