Design of a Generative AI-Enhanced Knowledge Management System for Formative Research: A Student Perception Study in Engineering

Abstract

The objective of this work was the design of a knowledge management system enhanced with generative artificial intelligence (GenAI-KMS) to promote formative research development in universities. The governance model was developed using Design Science Research (DSR), integrating knowledge management system standards (ISO 30401), the APQC® framework for knowledge management programs, and learning services outside formal education (ISO 29993:2017). Empirical findings from two student perception studies (n=30 for mobile app experience; n=30 for AI in education) were incorporated, evidencing high disposition toward emerging technologies (87% favorable perception for AI) and current usability limitations (40% report technical frustrations). The artifact presented, based on process management, integrates four AI modules: Intelligent Literature Assistant, Research Question Co-pilot, Adaptive Virtual Mentor, and Knowledge Asset Generator. Based on the study results, it is concluded that the model meets the DSR evaluation criteria at the design level and is framed within the use of good practices, offering a replicable path for institutions facing the challenge of scaling formative research.