CoOffice.ai Smart Collaboration Office Virtual Simulation Platform

The CoOffice.ai Smart Collaboration Office Virtual Simulation Platform integrates generative AI with multi-agent modeling technology. Designed for business disciplines such as Business Administration and Tourism Management, it creates an authentic, controllable, and task-driven "virtual workplace environment." This platform addresses long-standing challenges in traditional business education, specifically the difficulties in "modeling, experimenting, and predicting" complex business scenarios. The platform can develop various typical professional scenarios based on talent development requirements. Each scenario can be meticulously planned and modeled in terms of content, aligning with job requirements, industry practices, and pedagogical objectives. During practical learning, students will be "immersed" in a virtual office, collaborating with multiple AI intelligent NPC (Non-Player Character) agents, such as project managers, colleagues, and clients. Together, they will complete a series of multi-stage tasks, including critical processes like data analysis, communication and negotiation, strategy formulation, and situational decision-making. The platform will comprehensively collect students' behavioral paths and decision trajectories. This data supports instructors in conducting formative teaching evaluations, providing personalized feedback, and tracking skill development, thereby bridging classroom instruction with future workplace demands.

Core Functions

  • Immersive Virtual Workplace Experience: Provides a controllable and visual virtual office environment that simulates realistic workplace collaboration scenarios within the hospitality and tourism industry. This immersion allows learners to integrate theory with practice, enhancing their applied skills in authentic contexts.
  • Multi-Role Human-AI Collaborative Training: Offers multi-task, multi-role, cross-scenario collaboration and decision-making training. Students will interact with AI intelligent NPC agents (e.g., project managers, colleagues, clients), experiencing a human-AI co-creation work model. This enables them to grasp AI-driven mechanisms and develop human-AI collaborative application capabilities.
  • Team Collaboration and Communication Decision-Making: Within the virtual workplace environment, students must collaborate with multiple AI intelligent agents to complete multi-stage tasks. This effectively strengthens communication, coordination, and teamwork skills, while also improving their situational judgment and strategic execution abilities in complex and dynamic scenarios.
  • AI-Assisted Problem Solving and Reflective Optimization: The platform incorporates intelligent agent mentors to guide problem-solving and deep reflection, fostering integrated problem-solving abilities through human-AI collaboration. Concurrently, comprehensive behavioral data collection and AI-assisted personalized teaching evaluations help students develop AI-assisted reflective optimization and a continuous growth mindset.
  • Professional Customized Tasks and Scenarios: The platform customizes and develops various typical professional scenarios based on the talent development needs of hospitality and tourism programs. It also supports the customization of tasks and scenarios by discipline, enabling in-depth pedagogical content planning and interdisciplinary teaching integration.

Application Principles

  • AI-Driven Virtual Workplace Construction: The platform leverages generative AI technology to develop and plan diverse typical professional scenarios based on talent development requirements. It also models content according to job requirements, industry practices, and pedagogical objectives, enabling the virtual office to simulate authentic workplace collaboration scenarios.

  • Multi-Agent Interaction and Task-Driven Learning: Through multi-agent modeling technology, the platform creates AI intelligent NPC agents. Students form work teams with these AI intelligent agents to collaboratively complete multi-stage tasks such as data analysis, communication and negotiation, strategy formulation, and situational decision-making, thereby achieving a human-AI co-creation work model.

  • Behavioral Data Collection and AI-Assisted Assessment: The platform comprehensively collects students' behavioral paths and decision trajectories. This data supports instructors in conducting formative teaching evaluations, with AI assistance providing personalized feedback and tracking skill development, effectively linking classroom instruction with future workplace demands.

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