An Empirical Study on the Effects of an AI Career Guidance System on University Students’ Career-Decision Self-Efficacy, Career Adaptability, and Employability
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This study investigated the effectiveness of an AI-based career guidance system in enhancing university students’ career-decision self-efficacy (CDSE), career adaptability (CA), and employability (EM). A total of 70 students participated, with 35 assigned to an experimental group (EG) that used the AI system and 35 to a control group (CG) that received no intervention. The AI system delivered personalized career assessments, targeted feedback, and mock interview simulations. Over an eight-week intervention, a pre-post design was implemented, and data were analyzed using paired-sample t-tests, independent t-tests, and ANCOVAs. The results showed significant improvements in CDSE, CA, and EM among the EG compared to the CG. Qualitative feedback further revealed students’ positive perceptions of the system’s personalization, accessibility, and skill-building value, though some expressed a preference for human interaction. These findings demonstrate the potential of AI-guided interventions to support critical career competencies and suggest their value as scalable tools within university career services.
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