点到——大学课堂考勤智能助手

Point-To: A Smart Attendance Assistant for University Classrooms

摘要: 针对当前高校课堂考勤中人工点名耗时较长、代签作弊难以杜绝、考勤数据分散且利用效率低下等问题，我们提出了“点到”——一款面向大学课堂的智能考勤工具的系统设计方案。系统采用人脸识别与多模态定位(WiFi/GPS/蓝牙)相结合的技术路线，以微信小程序为入口，通过多种签到方式组合使用并辅以智能防作弊模块，集成了数据可视化、学情预警、在线请假审批等管理功能。该方案可适配理论课、实践课及混合式教学等场景，旨在从设计层面探索改善高校课堂管理流程的有效路径，并为同类产品设计提供参考。

Abstract: To address the prevalent issues in university classroom attendance management—namely the time-consuming nature of roll calls, the difficulty in preventing proxy check-ins, and the inefficiency of fragmented attendance data—this paper proposes “Point-to”, a smart attendance assistant designed for university classroom settings. The system integrates face recognition with multi-modal localization technologies (WiFi/GPS/Bluetooth), utilizing WeChat Mini Program as its lightweight front-end entry point. It supports multiple combinable check-in methods alongside an intelligent anti-cheating module, and incorporates management functions such as data visualization, academic early warning, and online leave approval. The proposed solution is adaptable to various instructional formats, including lecture-based courses, practical sessions, and blended learning, offering a practical reference for improving classroom management efficiency and guiding the design of similar campus digital products.