Content

This dataset offers a detailed analysis of factors influencing student exam performance. It includes data on study habits, such as hours spent studying, Attendance in classes, and the role of Parental Involvement, among other aspects that contribute to academic success. The dataset provides a well-rounded view of the elements impacting student outcomes.

Dataset Glossary (Column-wise)

• Hours_Studied: Time spent studying for exams.
• Attendance: Percentage of classes attended.
• Parental_Involvement: Degree of parental support in academics.
• Access_to_Resources: Availability of study materials and tools.
• Extracurricular_Activities: Participation in non-academic activities.
• Sleep_Hours: Average hours of sleep per night.
• Previous_Scores: Past exam or grade performance.
• Motivation_Level: Student’s drive to achieve academically.
• Internet_Access: Availability of internet for studying.
• Tutoring_Sessions: Number of tutoring sessions attended.
• Family_Income: Household financial status.
• Teacher_Quality: Perceived effectiveness of teachers.
• School_Type: Public or private school attended.
• Peer_Influence: Impact of friends on academic behavior.
• Physical_Activity: Involvement in sports or exercise.
• Learning_Disabilities: Presence of any learning challenges.
• Parental_Education_Level: Highest education level of parents.
• Distance_from_Home: Commute distance to school.
• Gender: Student’s gender.
• Exam_Score: Final exam score or performance.

Structure of the Dataset