Wintour

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.

The Wintour Intelligent Learning Cloud Service Platform is an integrated cloud solution tailored for digital teaching in tourism management programs. It features multiple distinctive advantages, especially in merging generative AI with educational practices. Firstly, the platform offers an Instant Lesson Planning Assistant for teachers, generating lesson plans and tests through generative AI, significantly reducing preparation time and making teaching preparation more efficient and convenient. Additionally, the platform includes an Intelligent Grading Expert feature, utilizing AI to automatically grade assignments with accurate scoring, easing the grading workload and improving teaching quality and efficiency.

Through Teaching Insight Radar, the platform leverages generative AI to track and analyze student learning data, helping teachers identify learning challenges and optimize instructional strategies, addressing the Learning Feedback Blind Spots issue. The platform also supports a Homework Optimization Partner function, encouraging students to engage with AI for improvement before submitting assignments, ensuring higher quality submissions and enhancing students' learning outcomes and self-improvement abilities.

To address the Professional Disparity Pressure faced by teachers, the platform uses generative AI to provide personalized teaching resources and support, enabling teachers to quickly grasp new subject content. Moreover, the platform's Teacher-Student Interaction Enhancement Tool employs generative AI to design interactive teaching activities, sparking classroom discussion and participation and tackling the issue of Low Classroom Engagement, making classes more engaging and interactive.

The platform integrates multiple training software, supporting professional skill training by allowing students to perform real-world tasks in virtual environments, thus enhancing practical skills. It also combines virtual simulation training resources based on professional settings, aiding teachers in innovating digital training research and teaching practices. Remote collaboration and intelligent assessment capabilities enable seamless interaction and cooperation anytime, anywhere.

By deeply integrating generative AI with education, the Wintour Intelligent Learning Cloud Service Platform offers a flexible, diverse approach to both online and offline education, meeting varied learner needs, driving integrated development across teaching, learning, management, assessment, and research, and providing robust support for the digital transformation of tourism education, comprehensively enhancing course quality and learning effectiveness.