The Improvement Path of Employment Quality for Rural Students in Vocational Colleges of Jiujiang under the Background of Digital Economy

Abstract

Against the backdrop of the digital economy reshaping vocational ecosystems and competency structures, the issue of employment quality for rural students in vocational colleges has become increasingly prominent. Digital positions are characterized by high renewal frequency and cross-platform collaboration, placing higher demands on workers’ technical literacy and cognitive abilities. This study focuses on the structural dilemmas faced by rural students in terms of competency adaptation, cognitive transformation, and resource acquisition, and proposes a competency-generation path centered on the integration of digital literacy, multidimensional skill transfer, and the optimization of employment cognition systems. Based on a dynamic adaptation logic, it constructs an employment quality improvement strategy model that incorporates job-matching optimization, intelligent resource integration, and feedback-driven evaluation. The aim is to broaden the capability enhancement channels for rural students, improve their development potential within the digital employment ecosystem, and provide theoretical support and practical insights for the transformation and upgrading of the vocational education system.