Student Performance Dataset for Learning Outcome Classification Using Machine Learning

This dataset contains structured tabulated data of student performance used to support the study titled “Machine Learning-Based Classification for Learning Outcome Evaluation in Online Learning.” The dataset represents student assessment results collected from an online learning environment and is designed to support classification modeling for evaluating learning outcomes. The dataset includes: Scores across multiple assessment components Learning Outcome (LO) breakdown Aggregated total scores for each assessment Final grading classification (A, B, C, D) The data are structured to enable: supervised machine learning classification, learning outcome prediction, educational data mining, performance evaluation across multiple assessment types The dataset provides a multi-dimensional view of student performance, allowing analysis of how different assessment components contribute to final learning outcomes. All data have been anonymized, and no personally identifiable information is included.本数据集包含结构化表格化的学生学业表现数据，用于支撑题为《基于机器学习的在线学习学习成果评估分类》的研究工作。 该数据集采集自在线学习环境中的学生测评结果，旨在为评估学习成果的分类建模任务提供数据支持。 本数据集涵盖以下内容： 1. 多测评分项得分 2. 学习成果（Learning Outcome, LO）拆解项 3. 各测评的汇总总分 4. 最终成绩等级分类（A、B、C、D） 该数据集的结构设计可支持以下应用场景：监督式机器学习分类、学习成果预测、教育数据挖掘、多类型测评场景下的学业表现评估。 本数据集提供了学生学业表现的多维度观测视角，可用于分析不同测评分项对最终学习成果的贡献程度。 所有数据均已完成匿名化处理，未包含任何可识别个人身份的信息。