Responsible AI in student management: preventing misdecision in career choice of university students under inaccurate guidance.

ABSTRACT: In today's digital era, university students' career-related decision-making has become increasingly complex, shaped not only by personal aspirations and societal expectations but also by the algorithmic recommendations embedded in AI-supported technologies. While such systems provide convenient references, their outputs are often vague, generalized, or contextually limited, which underscores the irreplaceable role of human judgment in situations of uncertainty. Against this backdrop, the present study develops a multi-criteria decision-making (MCDM) framework tailored to the context of student management and career guidance. Specifically, it integrates the compromise ranking strategy CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) with the expressive flexibility

SUBMITTER: Yin S 

PROVIDER: S-EPMC12578985 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature