Construction and Practical Research on Intelligent Management Model of Training Rooms in Higher Vocational Colleges Driven by Artificial Intelligence

Abstract

China’s vocational colleges have a hard time with room management, mainly due to ineffective scheduling, unused resources and not enough technology. Artificial intelligence is providing a useful answer to these difficulties with intelligent automation, predictive maintenance and continuous tracking. The study develops and confirms a model to guide smart management in training rooms of higher vocational colleges, focusing on how AI infrastructure, institutional support, digital literacy, system integration and readiness for change together affect management. The data came from 450 responses to questionnaires distributed to staff members in vocational colleges across China. Constructs were assessed with items that have been proven valid using the Likert scale. With SmartPLS 4.0, direct, mediating and moderating effects were tested for six constructs: AI-Based Infrastructure Readiness (AIR), Administrative Support for Digital Innovation (ASDI), User Digital Literacy (UDL), System Integration Effectiveness (SIE), Organizational Change Readiness (OCR), and Training Room Management Efficiency (TRME). AIR, ASDI and UDL impact SIE greatly and SIE in turn strongly influences TRME. SIE links how these factors impact TRME. OCR affects these connections in two ways, whether it encourages or reduces them. Both SIE and TRME are explained by the model to the extent of 42.7% and 44.6%, respectively. All three components are important for achieving the best results from AI management—leaders should be sure they all match. This research presents a new, scientifically proven system for managing facilities in vocational education.