Practical Training Lab Operations

Many university tourism management programs experience inconsistent utilization of their training labs, primarily due to a lack of integration between lab software/hardware and course content, leading to impractical and unfocused course design. Additionally, teachers and service providers have yet to effectively align with industry needs for training task design, and there is a lack of efficient data analysis and feedback mechanisms to promptly identify and resolve issues in lab usage.

To address these challenges, Wintour integrates AI technology into practical training labs, innovating lab operations and significantly enhancing utilization and teaching effectiveness. Firstly, Wintour equips labs with cloud-based training spaces, allowing students to conduct personalized training at their own pace from anywhere, greatly improving the flexibility and convenience of online practical learning. Furthermore, Wintour offers AI-driven support for core courses in tourism management, hotel management, and other fields, enabling intelligent courses and personalized learning while optimizing resource sharing and enriching students' practical experiences.

In addition, Wintour designs interdisciplinary comprehensive training projects in collaboration with real industry resources, allowing students to engage in authentic industry projects and gain valuable hands-on experience. Through the Wintour Digital Learning Platform 3.0, Wintour leverages AI to analyze course data, monitor lab usage, optimize resource allocation, and regularly collect feedback from teachers and students to continuously improve lab operations and teaching effectiveness.

Service Targets

  • Increase lab utilization by leveraging AI technology to optimize facility use, promote effective practice teaching, and maximize resource value.
  • Provide diverse and personalized practical courses and training tasks through AIpowered intelligent teaching, enhancing students’ learning experiences and training outcomes.
  • Integrate resources and foster collaboration through schoolenterprise partnerships with AI, closely aligning with industry needs to develop students' professional skills and innovative capabilities.
  • Use AIdriven data analysis to optimize training project design and operations, dynamically adjusting course content and improving overall lab operational efficiency.
  • Promote realtime feedback and personalized learning through AI, enabling teachers to adapt instructional strategies based on student performance, advancing precise educational reform and innovation.

Service Content

  • Expand Online Practical Training Space: Equip labs with cloudbased spaces and AI technology, allowing students to conduct personalized training based on their learning progress anytime, anywhere, for a more flexible and efficient learning experience.
  •  MultiCourse Resource Sharing: Provide AIsupported training tasks for core courses in tourism management, hotel management, and related fields, enabling intelligent resource sharing and improving practical course outcomes and teaching efficiency.
  •  Interdisciplinary Comprehensive Training Projects: Design comprehensive, crossdisciplinary training projects, supported by GenAI and integrated with industry resources, offering tourism management students real industry experience and fostering crossfield innovation skills.
  •  Personalized Teaching Support: Use AI to provide teachers with customized instructional plans, including lab design, task optimization, and resource recommendations, enhancing teaching efficiency and effectiveness.
  •  RealTime Learning Guidance: Offer an AIdriven realtime learning assistant that answers students' questions during training sessions and guides them to deeper understanding, boosting selfdirected learning capabilities.
  •  Interactive Teaching Tools: Integrate generative AIdriven interactive tools, enabling teachers to design more engaging and interactive lab activities, stimulating student interest and increasing classroom vitality.
  •  Ongoing Learning Data Tracking: Utilize GenAI to analyze students’ learning paths and behaviors, helping teachers adjust teaching strategies in realtime, providing personalized learning support, and improving learning outcomes.
  •  Promotion and Publicity: Leverage Wintour’s social media resources and GenAIgenerated content for extensive promotion, showcasing lab achievements and enhancing both brand influence and lab recognition within the industry.
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