高等师范院校学业预警现状、需求与优化策略——基于A大学预警数据与问卷调查的实证分析
Current Situation, Needs, and Optimization Strategies for Academic Early Warning in Higher Normal Universities—An Empirical Analysis Based on Early Warning Data and Questionnaire Survey at University A
摘要: 对教育部某直属师范大学的学业预警运行现状进行了个案分析。结果表明:就学业预警现状来看,该校预警学生占比总体上控制在一定水平内;大三开学初学生累计学业发展问题较为突出;理工类与艺体类学院及其相关专业预警学生数量显著偏高;单门课程内公共课不及格频次显著高于专业课。就学业预警需求来看,学生存在变更预警时机与调整预警频次的需求;优化成绩指标与构建多元预警指标的需求;落实多方位学业帮扶的需求。为此,本研究提出以下优化策略:下放预警权限,提升预警精度;优化预警机制,加强数据支撑;前置干预阶段,聚焦学业帮扶。
Abstract: This study analyzes academic early warning data and survey results regarding students’ academic early warning needs at University A. The findings indicate that: 1) The proportion of students under early warning has been maintained within a reasonable range overall; 2) Cumulative academic development issues are particularly prominent among third-year students at the semester’s start; 3) Colleges and majors in science, engineering, arts, and physical education show significantly higher numbers of early warning students; 4) The failure rate in general courses per subject is notably higher than that in specialized courses. Regarding academic early warning needs, students require flexible adjustment of warning timing and frequency, optimization of performance metrics, and diversified warning indicators, along with comprehensive academic support. To address these needs, this study proposes three optimization strategies: 1) Delegating early warning authority to enhance precision; 2) Optimizing the early warning system with robust data support; 3) Implementing proactive intervention phases focused on academic assistance.
参考文献
|
[1]
|
周荐. 2006汉语新词语[M]. 北京: 商务印书馆, 2007: 74.
|
|
[2]
|
教育部关于狠抓新时代全国高等学校本科教育工作会议精神落实的通知[EB/OL]. http://www.moe.gov.cn/srcsite/A08/s7056/201809/t20180903_347079.html, 2025-09-24.
|
|
[3]
|
教育部关于深化本科教育教学改革全面提高人才培养质量的意见[J]. 中华人民共和国教育部公报, 2019(9): 26-30.
|
|
[4]
|
白学军, 原胜, 都旭, 等. 大学生学业失败的预警因素初探[J]. 天津师范大学学报(社会科学版), 2022(1): 70-76.
|
|
[5]
|
魏茜. 大类培养下校院两级学业预警指标体系的构建研究[J]. 黑龙江高教研究, 2020, 38(5): 55-59.
|
|
[6]
|
王颖, 王佳棋, 夏瑜, 等. 基于机器学习方法的网瘾及学业预警系统设计[J]. 计算机应用与软件, 2025, 42(7): 22-26+50.
|
|
[7]
|
陶佰睿, 刘凯达, 苗凤娟, 等. 基于KFCM改进SVM的学生学业预警系统设计[J]. 实验室研究与探索, 2019, 38(5): 112-115+228.
|
|
[8]
|
马丽娟, 王球琳, 付磊. 高校学生学业预警及援助保障体系构建[J]. 教育探索, 2016(4): 67-70.
|
|
[9]
|
林欣, 黄小东, 陈超. 高职院校学业预警帮扶机制的实施困境与提升策略[J]. 教育与职业, 2021(18): 44-48.
|
|
[10]
|
但金凤, 王正青. 数据支持帮扶: 美国中学早期学业预警系统的发展轨迹与运行特色[J]. 现代远距离教育, 2022(6): 30-38.
|
|
[11]
|
王理, 王红震. 我国学分制高校学业预警制度的制度移植误区探析[J]. 高教探索, 2019(12): 56-60.
|