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Student Learning Outcomes Dataset
Education & Learning Analytics
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Free
About
The Student Academic Performance Dataset is a high-quality dataset designed for data science beginners and educational researchers. It is suitable for Exploratory Data Analysis (EDA) and building predictive models related to student outcomes.
Columns
- student_id: A unique identifier for each student. (1000 unique values)
- name: An anonymised full name for the student. (1000 unique values)
- gender: The student’s gender identity. (3 unique values: Male (36%), Female (33%), Other (32%))
- age: The student's age in years. (Mean: 16, Std. Deviation: 0.82, Range: 15-17 years)
- grade_level: The student's current grade in school. (Mean: 10.5, Std. Deviation: 1.14, Range: 9-12)
- math_score: Marks obtained by the student in maths. (Mean: 75.2, Std. Deviation: 14.3, Range: 50-99)
- reading_score: Marks obtained by the student in reading. (Mean: 74.3, Std. Deviation: 14.3, Range: 50-99)
- writing_score: Marks obtained by the student in writing. (Mean: 75.2, Std. Deviation: 14.4, Range: 50-99)
- attendance_rate: The student’s school attendance percentage. (Mean: 89.9, Std. Deviation: 5.72, Range: 80-100%)
- parent_education: The highest education level achieved by the student's parents. (4 unique values: Bachelor's (27%), PhD (25%), Other (47%))
- study_hours: The average daily hours the student spent studying. (Mean: 2.98, Std. Deviation: 1.17, Range: 1.02-5 hours)
- internet_access: Indicates the availability of internet at the student's home. (Boolean: True (50%), False (50%))
- lunch_type: The type of lunch support received by the student. (2 unique values: Standard (50%), Free or reduced (50%))
- extra_activities: Denotes participation in non-academic activities. (Boolean: True (54%), False (47%))
- final_result: Indicates whether the student passed or failed. (2 unique values: Pass (52%), Fail (48%))
Distribution
The dataset is provided as a CSV file named
student_info.csv. It has a size of 107.46 kB and contains 15 columns. The dataset includes 1000 records or rows.Usage
This dataset is ideal for:
- Exploratory Data Analysis (EDA).
- Building predictive models related to student performance and outcomes.
- Educational research.
- Data science learning and practice.
Coverage
The dataset focuses on academic performance metrics and related demographic and socio-economic factors for a cohort of 1000 students. Specific geographic or time range information is not available in the provided sources. Data availability is 100% valid for all 1000 records across all columns.
License
CC BY-SA 4.0
Who Can Use It
This dataset is primarily intended for:
- Data science beginners looking for a clear dataset to practice EDA and machine learning.
- Educational researchers interested in analysing factors influencing student academic results.
Dataset Name Suggestions
- Student Performance Analytics
- Academic Success Factors
- Student Learning Outcomes Dataset
- Education Performance Metrics
Attributes
Original Data Source:Student Learning Outcomes Dataset
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