基于机器学习的学生成绩预测和关键特征分析

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中图分类号：TP391.9 文献标识码：A文章编号：1006-8228（2026）02-66-05

Abstract：Toenhanceteachingualityandprovidetargetedinterventionsinstudents'learingproceses，thisstudyutilizesmachine learmingtechniquestopredictacademicperformanceandidentifykeyfactorsinfluencinggrades.Byadoptingmuliplemachine learningalgorithmstoconstructpredictivemodelsandcomparingtheirperformance，thisstudyselectedtheoptimalmodel;basedon thismodel，thisstudyanalyzedfeatureimportancetouncovercriticaldeterminantsoftudentachievementExperimentalesults indicatehatthemodeleffectivelypredictscourseperformanceandsucessullyidentifieskeyfactorssignificantlyinfluencing grades.It provides scientific decision support for improving academic outcomes and optimizing teachingquality.

Keywords：Machine Learning;Key Features;Targeted Interventions;Teaching Quality

0引言

随着教育信息化的持续发展，数据驱动的教学分析逐渐成为提升教学质量的重要手段。（剩余6173字）