当AI学会“仿真思维”，教师才能回归育人本质
Merged summary
TL;DR — 两则材料实际描述不同项目：天立启鸣用认知世界模型实现个性化教学并减轻教师负担；海尔智家则用智能体协调家电与机器人，推进家庭自动化，无法合并为单一教育成果。
- 天立启鸣的 LAM 框架建模学生认知状态，推断知识误区并规划个性化学习路径。
- 系统自动完成学习诊断、资源匹配、习题调整和课堂分析，已覆盖 150 多所学校、30 多万师生。
- “认知主权”框架针对推断出的学生敏感认知数据实施分级保护。
- 海尔“小优 Agent”借助家庭空间知识图谱，在烹饪、洗护、空气和用水等场景中跨设备规划与执行任务。
- 海尔还结合视觉、语音模型与传感器增强家电感知能力，并称其内部 AI 系统已服务逾 6 万名员工和 1.4 万多个应用。
注： 量子位聚焦教育认知模型，雷峰网聚焦智慧家庭智能体，两者的主体与应用场景并不相同。
Sources (2)
当AI学会“仿真思维”，教师才能回归育人本质
TL;DR - Tianli Qiming and research partners introduced a cognitive-world-model approach to personalize student learning while reducing teachers’ routine workload. It aims to move education AI beyond basic content recommendation toward modeling learning gaps and protecting sensitive cognitive data.
- The system automates learning diagnosis, resource matching, exercise adaptation, and classroom analytics.
- Tianli Qiming reports deployments across 150+ schools serving 300,000+ teachers and students.
- Its LAM framework models students’ cognitive states to infer misconceptions and plan personalized learning paths.
- A proposed “cognitive sovereignty” framework applies tiered protection to inferred student data.
海尔智家正在讲述一个全新的AI故事
TL;DR - Haier Smart Home is expanding from connected appliances into an agent-driven home ecosystem, including a national AI application pilot base. Its XiaoYou Agent coordinates appliances and robots to automate household tasks.
- XiaoYou Agent uses a household spatial knowledge graph to plan, decide, and act across cooking, laundry, air, and water systems.
- Multimodal appliance features combine vision, voice models, and sensors for food, clothing, cooking, and occupancy recognition.
- Haier is reorganizing product and service platforms to support cross-device automation rather than isolated smart-appliance functions.
- The company reports over 60,000 employees using its internal AI system across more than 14,000 applications.