Systemic Barriers and Adaptive Challenges to the Employability of International Chinese Language Education Graduates in the Era of Artificial Intelligence

Abstract

As artificial intelligence (AI) reshapes the global education ecosystem, graduates of International Chinese Language Education (ICLE) programs face dual structural pressures from technological disruption and shifting labor market demands. This study aims to explore the technological dilemmas and educational challenges hindering the enhancement of employment competitiveness among graduates of ICLE in the AI era. Through semi-structured interviews with 30 participants (20 ICLE graduates, 5 university career counselors, and 5 HR professionals), data analysis was conducted using open coding, axial coding, and selective coding. Three major structural barriers were identified: curriculum disconnect from AI, fragmented acquisition of digital skills, and insufficient institutional and faculty support for AI integration. These severely constrain ICLE graduates' employment readiness in AI-mediated environments. This study enriches theoretical understanding of how information technology reshapes disciplinary employability, providing targeted guidance for ICLE curriculum reform, institutional innovation, and skill development.