Student Success Influencers

Columns

• Hours_Studied: The number of hours a student spends studying each week. (Range: 1.00 - 44.00, Mean: 20)
• Attendance: The percentage of classes a student has attended. (Range: 60.00 - 100.00, Mean: 80)
• Parental_Involvement: Categorises the level of parental engagement in the student's education (Low, Medium, High). (Most common: Medium, 51%)
• Access_to_Resources: Indicates the availability of educational resources to the student (Low, Medium, High). (Most common: Medium, 50%)
• Extracurricular_Activities: Specifies if the student participates in extracurricular activities (Yes, No). (True: 60%, False: 40%)
• Sleep_Hours: The average number of hours of sleep a student gets per night. (Range: 4.00 - 10.00, Mean: 7.03)
• Previous_Scores: The scores obtained from previous examinations. (Range: 50.00 - 100.00, Mean: 75.1)
• Motivation_Level: Describes the student's level of motivation (Low, Medium, High). (Most common: Medium, 51%)
• Internet_Access: Indicates whether the student has internet access (Yes, No). (True: 92%, False: 8%)
• Tutoring_Sessions: The number of tutoring sessions a student attends monthly. (Range: 0.00 - 8.00, Mean: 1.49)
• Family_Income: The income level of the student's family (Low, Medium, High). (Most common: Low, 40% and Medium, 40%)
• Teacher_Quality: Assesses the quality of the teachers (Low, Medium, High). (Most common: Medium, 59%)
• School_Type: Identifies the type of school the student attends (Public, Private). (Most common: Public, 70%)
• Peer_Influence: Describes the influence of peers on academic performance (Positive, Neutral, Negative). (Most common: Positive, 40%)
• Physical_Activity: The average number of hours of physical activity a student engages in per week. (Range: 0.00 - 6.00, Mean: 2.97)
• Learning_Disabilities: Indicates the presence of learning disabilities (Yes, No). (True: 11%, False: 89%)
• Parental_Education_Level: The highest education level achieved by the parents (High School, College, Postgraduate). (Most common: High School, 49%)
• Distance_from_Home: The distance from the student's home to school (Near, Moderate, Far). (Most common: Near, 59%)
• Gender: The gender of the student (Male, Female). (Most common: Male, 58%)
• Exam_Score: The final score obtained in the exam. (Range: 55.00 - 101.00, Mean: 67.2)

Distribution

Usage

• Data Analytics: Uncovering patterns and correlations between various factors and student academic performance.
• Data Visualisation: Creating visual representations to better understand influencing factors and their impact.
• Model Explainability: Developing and evaluating machine learning models to predict student outcomes and explain the drivers behind those predictions.
• Educational Research: Studying the effectiveness of different educational strategies and interventions.
• Policy Making: Informing decisions related to educational policy and resource allocation.

Coverage

License

Who Can Use It

• Educators and School Administrators: To identify at-risk students, tailor teaching methods, and allocate resources more effectively.
• Educational Researchers: To analyse the impact of various socio-economic and academic factors on student success.
• Data Scientists and Analysts: For predictive modelling, statistical analysis, and creating insightful dashboards related to student performance.
• Policy Makers: To develop evidence-based educational policies aimed at improving student outcomes.

Dataset Name Suggestions

• Student Academic Factors
• Education Performance Drivers
• Student Success Influencers
• Academic Outcome Factors

Attributes