SOLUTION · SMART EDUCATION

智慧教育Smart Education

覆盖约课、择校、规范汉字书写、心理危机预警等场景，用技术提升教学与管理效率。Course booking, school selection, standardized handwriting and mental crisis warning for smarter education.

教培约课Training Booking升学择校School Selection心理预警Mental Alert

教学环节分布Teaching Stages

智能约课 + 教务Smart Booking + Admin 排课/考勤/课时/绩效全链路数智化Full-chain digital scheduling/attendance/hours/performance

择校智能匹配Smart School Matching 学情/兴趣/学位多维算法，辅助家长精准择校Multi-dim algorithm (learning/interest/seats) for precise school choice

心理危机预警Mental Crisis Warning 多源行为数据 + 预警模型，主动干预Multi-source behavior data + warning model; active intervention

学情建模Learning Modeling智能匹配Smart Matching教学反馈Teaching Feedback风险预警Risk Warning

实时在线Live

源码交付Source Delivery 私有化部署On-prem Deployment 支持定制Customizable

智慧教育Smart Education

教培机构排课、考勤、课时统计与教师绩效依赖手工与多表格Training orgs rely on manual work and spreadsheets for scheduling, attendance, hours and teacher performance
家长择校信息分散，缺乏结合学情、兴趣、区域学位的智能匹配School-choice info is scattered; no smart match combining learning, interests and local seats
学生书写习惯与规范汉字练习反馈缺失，教师批改负担重Lack of feedback on writing habits and standard-character practice; heavy teacher grading load
学生心理问题隐蔽、识别滞后，学校、家庭、医疗机构联动不畅Student mental issues are hidden and detected late; weak linkage among school, family and clinicians
教育主管部门缺乏教学与心理预警的统一数据看板Education authorities lack a unified dashboard for teaching and mental-health alerts

APPROACH

我们的方法Our Approach

排课、考勤、课时、教师绩效的全链路数智化End-to-end digital scheduling, attendance, hours and teacher performance

学情/兴趣/学位多维算法，辅助家长精准择校Multi-dim algorithm (learning/interest/seats) for precise school choice

图像识别 + 笔顺反馈，支撑教学与课后练习场景Image recognition + stroke-order feedback for teaching and after-class practice

多源数据 + 预警模型，联动教师/家长主动干预Multi-source data + warning model; proactively engage teachers/parents

SCENARIOS

教培约课Training Booking升学择校School Selection心理预警Mental Alert