全过程学业预警跟踪评价系统的研究与实现  

Research and implementation of a full-process academic early warning and tracking evaluation system

作　　者：李启鹏 曾松伟[2] Li Qipeng;Zeng Songwei(College of Mathematics and Computer Science,Zhejiang A&F University,Hangzhou 311300,China;College of Optical,Mechanical and Electrical Engineering,Zhejiang A&F University,Hangzhou 311300,China)

机构地区：[1]浙江农林大学数学与计算机科学学院,浙江杭州311300 [2]浙江农林大学光机电工程学院,浙江杭州311300

出　　处：《电子技术应用》2025年第2期86-92,共7页Application of Electronic Technique

基　　金：2022年浙江省省级课程思政教学项目(浙教函[2022]51号)。

摘　　要：传统的学业预警系统通常更多关注学生的成绩、考勤等终结性指标,并在这些指标达到特定条件时触发预警。所研究的学业预警系统采用了全过程化监测预警方法,不仅对学生的期末成绩、年度考核、出勤等常规指标进行监测,还对学生的课堂表现、课后作业、团队考核、思想政治考核、经济压力等进行全面跟踪、分析与评价。同时根据本科生导师制实施细则,发动各导师积极参与到学业预警活动中,作为学生学习过程中的重要指导者,跟踪和评估学生的学业表现,并提供及时、有效、精准的学业指导,实现了从发出预警到指导效果的全程、闭环监控。采用粒子群算法(PSO)优化支持向量机(SVM),并结合Web与小程序技术,实现了全过程学业预警跟踪评价系统,有效提升了预警的精准度和时效性,填补了传统学业预警系统的不足。该系统对于提高学生学业质量具有重要意义,同时也为其他高校的学业预警帮扶系统提供参考。Traditional academic warning systems usually focus more on terminal indicators such as students’grades and attendance,and trigger warnings when these indicators meet specific conditions.The academic warning system studied in this paper adopts a whole-process monitoring and warning method,which not only monitors conventional indicators such as students’final grades,annual assessments,and attendance,but also comprehensively tracks,analyzes and evaluates students’classroom performance,homework after class,team assessments,ideological and political assessments,and economic pressure,etc.Meanwhile,based on the implementation rules of the undergraduate tutor system,all tutors are encouraged to actively participate in academic warning activities.As important mentors in the learning process of students,they track and evaluate students’academic performance,and provide timely,effective,and precise academic guidance,realizing the whole-process and closed-loop monitoring from issuing warnings to guiding effects.This paper uses Particle Swarm Optimization(PSO)to optimize Support Vector Machine(SVM),and combines Web and mini-program technology to implement a whole-process academic warning tracking and evaluation system,which effectively improves the accuracy and timeliness of warnings,filling in the gaps of traditional academic warning systems.This system is of great significance for improving the quality of students’academic performance,and also provides a reference for academic warning support systems in other universities.

关 键 词：学业预警 双导师制 全过程 互助互督 多维数据驱动 

分 类 号：G456[文化科学—教育学] TP311.1[文化科学—教育技术学] TP399[自动化与计算机技术—计算机软件与理论]