摘要

针对高等数学课程目标达成度评价长期存在评价标准缺乏科学性与统一性、评价方式重结果轻过程、数据挖掘与诊断分析能力不足、评价结果与教学改进闭环断裂等问题，本文以成果导向教育理念为引领，构建了“课程目标—毕业要求—专业能力”三位一体的评价指标体系，依托在线教学平台建立课堂互动、作业、测验与阶段性考核等学习数据的自动采集机制，并运用机器学习方法构建课程目标达成度计算模型与薄弱知识点诊断模型，形成“评价—诊断—反馈—改进”的闭环运行机制。实践表明，该体系能够实现评价标准统一化、过程数据可追溯、学习薄弱点可诊断、教学改进可落地，显著提升评价的科学性与精准度，可为同类院校基础课程的智能评价改革提供可复制、可推广的范式。

Abstract

Aiming at the problems existing in the evaluation of course objective achievement degree of Higher Mathematics, such as the lack of scientificity and unity of evaluation standards, emphasizing results over process, insufficient data mining and diagnostic analysis ability, and the broken loop between evaluation results and teaching improvement, this paper, guided by the Outcome-Based Education (OBE) concept, constructs a trinity evaluation index system of “course objectives-graduation requirements-professional abilities”, establishes an automatic collection mechanism of learning data such as classroom interaction, homework, quizzes and periodic assessments based on the online teaching platform, and builds the calculation model of course objective achievement degree and the diagnosis model of weak knowledge points by machine learning methods, forming a closed-loop operation mechanism of “evaluation-diagnosis-feedback-improvement”. Practice shows that this system can realize the unification of evaluation standards, traceability of process data, diagnosability of learning weaknesses and implementability of teaching improvement, significantly improve the scientificity and accuracy of evaluation, and provide a replicable and generalizable paradigm for the intelligent evaluation reform of basic courses in similar colleges and universities.

参考文献