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Synthetic Student Performance Dataset
Education & Learning Analytics
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£79.99
About
This synthetic Student Performance Dataset is designed as an educational resource for data science, machine learning, and education analytics applications. The dataset provides detailed information on various factors influencing students’ academic performance, including demographics, family background, extracurricular activities, and study habits. It aims to help users analyze relationships between these factors and students’ grades, providing insights into student success and well-being.
Dataset Features:
- Gender: Gender of the student (e.g., "Male," "Female").
- Age: Age of the student (in years).
- Family Size: Size of the student’s family.
- Parental Status (Together/Apart): Whether the parents are living together or apart.
- Mother's Education Level: Education level of the student’s mother.
- Father's Education Level: Education level of the student’s father.
- Mother's Job: Occupation of the student’s mother.
- Father's Job: Occupation of the student’s father.
- Reason for Choosing School: Primary reason for selecting the school (e.g., proximity, reputation).
- Legal Guardian: Legal guardian of the student (e.g., "Mother," "Father," "Other").
- Travel Time to School (in hours): Daily travel time between home and school.
- Weekly Study Time (in hours): Hours spent studying outside school per week.
- Number of Past Failures: Number of previously failed subjects.
- Extra Educational Support: Whether the student receives additional educational support (e.g., "Yes," "No").
- Family Educational Support: Whether the family provides educational support (e.g., "Yes," "No").
- Paid Extra Classes: Whether the student takes extra paid classes (e.g., "Yes," "No").
- Extracurricular Activities: Participation in extracurricular activities (e.g., "Yes," "No").
- Attended Nursery School: Whether the student attended nursery school (e.g., "Yes," "No").
- Aspiration for Higher Education: Whether the student aspires to pursue higher education (e.g., "Yes," "No").
- Internet Access at Home: Availability of internet access at home (e.g., "Yes," "No").
- In a Romantic Relationship: Whether the student is in a romantic relationship (e.g., "Yes," "No").
- Quality of Family Relationships: Rated quality of relationships within the family.
- Free Time After School: Amount of free time available after school hours.
- Going Out with Friends: Frequency of going out with friends.
- Workday Alcohol Consumption: Level of alcohol consumption during workdays.
- Weekend Alcohol Consumption: Level of alcohol consumption during weekends.
- Current Health Status: Self-reported health status of the student.
- Number of School Absences: Total number of school days missed.
- First Period Grade: Grade received during the first grading period.
- Second Period Grade: Grade received during the second grading period.
- Final Grade: Final grade achieved by the student.
Distribution:
Usage:
This dataset is useful for a variety of applications, including:
- Student Performance Analysis: To explore relationships between family background, study habits, and academic outcomes.
- Educational Research: To identify key factors influencing student success and well-being.
- Predictive Modeling: To build models that predict student grades or identify students at risk of underperforming.
- Policy Making: To analyze how socioeconomic factors and family structure impact education outcomes.
Coverage:
This dataset is synthetic and anonymized, ensuring that it is safe for experimentation and learning without compromising any real student data.
License:
CCO (Public Domain)
Who can use it:
Data science learners: For practising data manipulation, visualization, and predictive modelling.
Educators and researchers: For academic studies or teaching purposes in student analytics and education research.
Education professionals: For analyzing factors that influence student success and tailoring interventions to improve outcomes.
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