Innovative Decision Support System for Academic and Scientific Output Management: An AI-Based Approach for Algerian Higher Education Institutions

Abstract

The objective of the platform developed in this project is to enhance both the efficiency and modernity of academic output management in higher education. It enables instructors to submit lectures, handouts, dissertations, and articles via a dedicated interface. The integration of intelligent data processing techniques allows the system to automatically identify and recommend the most suitable reviewers based on the research field, title, and abstract of the submitted work. Reviewers are provided with a personal workspace where they can accept or decline review requests and easily provide feedback. The chair or scientific director can monitor submissions in real time, approve proposed reviewers, and oversee the various stages of the review process. Automating these time-consuming tasks has been shown to improve processing speed, enhance the accuracy of reviewer recommendations, and increase the transparency of scientific governance.