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

Abstract

This research paper explores the integration of Intelligent Decision Support Systems (IDSS) in university curriculum
development, 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 innovative
methodology that combines human expertise with IDSS capabilities to enhance curriculum development. We begin by
discussing 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 emerging
educational needs and trends. We delve into the IDSS architecture, elucidating its role in data collection, analysis, and
decision-making. This collaborative approach empowers universities to make informed decisions, streamlining curriculum
adjustments. Drawing on case studies and practical applications, we demonstrate the benefits of our approach, such as
improved agility, alignment with industry demands, and enhanced learning outcomes. We also address ethical considerations
and integration challenges associated with IDSS in curriculum development. In conclusion, our paper presents a
promising pathway for universities to enhance curriculum development through a semi-automated needs analysis approach
guided by IDSS. By equipping graduates to navigate a changing world, this research contributes to the ongoing discourse on
technology and education. Institutions can use this blueprint to maintain educational excellence in a dynamic environment.