This document introduces educational data mining in relation to educational statistics in Nepal. It lists the members of the team, provides some key statistics on schools and education budgets in Nepal, and notes that current education reports are inaccessible and unmanaged. It then defines educational data mining as a new methodology for manipulating educational data that started in 2008, making this team the first to introduce it to Nepal. The document includes maps and charts analyzing repetition rates, pupil-teacher ratios, and an educational development index for different areas of Nepal. It also performs a cluster analysis and asks how to move further with this work.

1. EDUCATIONAL DATA MINING
In Relation To Educational Statistics Of Nepal
Members
Roshan Bhandari - brishi98@gmail.com
Sijan Bhandari - sijanonly@gmail.com
Subit Raj Pokharel - rajsubit@phunka.com
Sujit Maharjan - sujitmhj@gmail.com

2. Statistics
35 000 Schools
50 + billion amount of budget
20 parameters
2 times a year
400 + different NGOs and
INGOs

3. Problem ???
Reports Not Accessible
Unmanaged and Unformatted

5. Educational Data Mining
• New methodology of manipulating
educational data.
• Modern methodology started since 2008.
• In this regard, we are the first people to
introduce Educational Data Mining to Nepal

6. Map

7. Map

8. Charts
Top 10 Repetition Rate

9. Charts
Top 10 Pupil Teacher
Ratio

10. Educational Development Index (EDI)

11. EDI Map

12. EDI Graph

13. Cluster Analysis
private
87
Government
2872

14. How to move further ?

15. Thank You