Bridging the Gap Between Education and Employment: An AI-Integrated LinkedIn Networking Pedagogy for Business Students

Abstract

This study evaluates an AI-supported, LinkedIn-based networking pedagogy in undergraduate business courses at a private university. Using a convergent mixed-methods design (N = 222), we analyzed platform analytics, branding artifacts, and reflections. Post-intervention, the mean number of impressions per post increased from under 200 to 4,925; the audience composition shifted toward industry professionals; and themes of vocational clarity and agency emerged. Findings indicate that AI prompting strengthens message quality, amplifies visibility, and broadens students’ professional networks. The intervention offers a scalable, values-aware model for integrating digital identity, AI literacy, and career readiness within business curricula.