Using intelligent and decision support systems for developing University Curriculum: semi-automated need analysis approach

This research paper explores the integration of Intelligent Decision Support Systems (IDSS) in university curriculumdevelopment, emphasizing a semi-automated needs analysis approach. In today’s higher education landscape,adaptability is crucial to meet evolving student, industry, and societal needs. To tackle this challenge, we propose an innovativemethodology that combines human expertise with IDSS capabilities to enhance curriculum development. We begin bydiscussing the dynamic nature of university curriculum design, highlighting the need for responsiveness to educational, economic,and societal shifts. Our semi-automated needs analysis approach leverages IDSS to identify and prioritize emergingeducational needs and trends. We delve into the IDSS architecture, elucidating its role in data collection, analysis, anddecision-making. This collaborative approach empowers universities to make informed decisions, streamlining curriculumadjustments. Drawing on case studies and practical applications, we demonstrate the benefits of our approach, such asimproved agility, alignment with industry demands, and enhanced learning outcomes. We also address ethical considerationsand integration challenges associated with IDSS in curriculum development. In conclusion, our paper presents apromising pathway for universities to enhance curriculum development through a semi-automated needs analysis approachguided by IDSS. By equipping graduates to navigate a changing world, this research contributes to the ongoing discourse ontechnology and education. Institutions can use this blueprint to maintain educational excellence in a dynamic environment.