Core Viewpoint - The forum highlighted the transformative role of AI in reshaping brand logic and driving industrial advancement, with a focus on vocational education as a cornerstone for talent supply in the digital economy [1][9]. Group 1: Challenges in Vocational Education - The rapid development of the digital economy has led to three core challenges in vocational education: outdated curriculum, difficulties in practical training implementation, and insufficient collaboration between schools and enterprises [3][11]. - AI technology is seen as a key pathway to address these structural challenges, supported by the upcoming policies such as the "Guidelines for the Construction of a Comprehensive Standardization System for the AI Industry" and the "Education Strong Nation Construction Plan (2024-2035)" [3][11]. Group 2: Curriculum Development - China Oriental Education has developed a dynamic "job capability profile" based on extensive job demand data, allowing for monthly updates to course content [3][11]. - In 2024, new modules on cutting-edge technologies like HarmonyOS development and AI visual recognition were added, resulting in a 45% increase in alignment with industry needs and a 25% improvement in student skill qualification rates compared to traditional models [3][11]. Group 3: Practical Training Innovations - The institution employs a dual-track model of "virtual simulation + practical projects," utilizing AI and VR/AR technologies to create a highly realistic "digital twin factory" that simulates complex operational environments [5][13]. - This approach has led to a 45% reduction in training costs per specialty, a 60% increase in resource utilization, and a 30% decrease in the adaptation period for graduates entering the workforce [5][13]. Group 4: Industry Collaboration and Future Plans - To bridge the gap between talent cultivation and employment, China Oriental Education has established a deep school-enterprise integration mechanism, exemplified by partnerships with companies like Beijing Prophet Technology to create AI talent training bases [6][13]. - The company aims to achieve nationwide coverage of AI training rooms in three years, train 1,000 "AI + specialty" composite backbone teachers, and build 20 high-level AI talent training bases, emphasizing a model that is "job-oriented, technology-driven, and integrated with industry education" [8][15].