Intelligent Workflow Management Systems in Educational Institutions

Abstract

The high rate of digitalization of schools and colleges has heightened the difficulty in the administration, scholarly, and business processes. Conventional workflow management solutions are usually not flexible, cannot make real-time decisions, and cannot be scaled. Intelligent Workflow Management Systems (IWfM), which is an artificial intelligence (AI), machine learning (ML), and data analytics and automation technologies, have innovative solutions to these challenges. This paper explores the role, design, and the contribution of the intelligent workflow management systems to the institutions of learning by concentrating on process optimization, decision support, efficiency improvement, as well as the improvement of the performance of the institution. The research is conducted following a mixed method approach of research by examining the contribution of IWMS to better academic administration, faculty workload management, student services, and institutional governance. This study indicates that IWMS are very effective in improving operational efficiency, lowering processing delays, enhancing transparency, and making data-driven decisions in learning institutions. The paper concludes that smart workflow systems are paramount when it comes to attaining sustainable digital transformation in the field of education.