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Dataset of Cognitive Learning Outcomes in Undergraduate Linear Algebra Assessments

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DataCite Commons2025-10-07 更新2026-04-25 收录
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https://figshare.com/articles/dataset/Dataset_of_Cognitive_Learning_Outcomes_in_Undergraduate_Linear_Algebra_Assessments/30300445/1
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This dataset contains anonymized assessment results from undergraduate students enrolled in a Linear Algebra course at a university in Ecuador. It provides midterm and final exam scores categorized by three cognitive dimensions derived from Bloom’s taxonomy: <i>Understanding</i>, <i>Application</i>, and <i>Analysis</i>. Each record corresponds to an individual student’s normalized scores (0-1 scale) along with contextual information on gender, group, schedule, and instructor.The dataset enables quantitative research on student learning, cognitive development, and educational evaluation. It is designed for reproducibility and secondary use in statistical modeling, educational data mining, and learning analytics.Variable | Description | Type | Values/Format--------------------------------------------------------------------------------------------------------GENDER | Student’s gender | Categorical | MALE, FEMALEGROUP | Class group or cohort (anonymized) | Categorical | A–LSCHEDULE | Study schedule or shift | Categorical | DAYTIME, EVENING, NIGHTINSTRUCTOR | Instructor code (anonymized numeric identifier) | Categorical | 1–8Understanding midterm | Conceptual understanding score (midterm exam) | Numeric | 0–1Application midterm | Application skill score (midterm exam) | Numeric | 0–1Analysis midterm | Analytical reasoning score (midterm exam) | Numeric | 0–1Understanding final | Conceptual understanding score (final exam) | Numeric | 0–1Application final | Application skill score (final exam) | Numeric | 0–1Analysis final | Analytical reasoning score (final exam) | Numeric | 0–1<br>

本数据集收录厄瓜多尔某高校线性代数课程本科学生的匿名化考核结果,提供基于布鲁姆认知分类法(Bloom’s taxonomy)三大认知维度划分的期中与期末成绩,三大维度分别为**理解(Understanding)**、**应用(Application)**与**分析(Analysis)**。每条记录对应单名学生的归一化成绩(取值范围0至1),同时附带性别、班级组别、授课时段与授课教师的背景信息。 本数据集可支撑学生学习、认知发展与教育评估相关的定量研究,其设计兼顾可复现性与二次使用需求,适用于统计建模、教育数据挖掘与学习分析等研究场景。 变量 | 描述 | 类型 | 取值/格式 --- | --- | --- | --- GENDER | 学生性别 | 分类变量(Categorical) | 男性(MALE)、女性(FEMALE) GROUP | 班级组别或同期群组(已匿名化) | 分类变量(Categorical) | A– SCHEDULE | 授课时段或学习班次 | 分类变量(Categorical) | 日间(DAYTIME)、晚间(EVENING)、夜间(NIGHT) INSTRUCTOR | 授课教师代码(匿名化数值标识符) | 分类变量(Categorical) | 1–8 期中理解维度成绩(Understanding midterm) | 期中测试概念理解得分 | 数值变量(Numeric) | 0–1 期中应用维度成绩(Application midterm) | 期中测试应用技能得分 | 数值变量(Numeric) | 0–1 期中分析维度成绩(Analysis midterm) | 期中测试分析推理得分 | 数值变量(Numeric) | 0–1 期末理解维度成绩(Understanding final) | 期末测试概念理解得分 | 数值变量(Numeric) | 0–1 期末应用维度成绩(Application final) | 期末测试应用技能得分 | 数值变量(Numeric) | 0–1 期末分析维度成绩(Analysis final) | 期末测试分析推理得分 | 数值变量(Numeric) | 0–1
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figshare
创建时间:
2025-10-07
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