Dataset of Cognitive Learning Outcomes in Undergraduate Linear Algebra Assessments

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>