This page outlines the quantitative post-mortem analysis of the India Education Program. This is an addition to Tory Read's work, which will be completed soon.
Of the about 1000 students enrolled in the India Education Program, roughly 66% made edits to the article namespace. On average, these students added 1057 words each, comparable to the roughly 1800 words added by students in the Public Policy Initiative. However, a lot of the content was poor quality and/or ridden with copyright violations, and hence only about 21% of it survived cleanup efforts by the community, and more content may be removed as cleanup efforts remain ongoing.
There were some important differences between groups of students: first, although their numbers were still rather poor, students from the Symbiosis School Of Economics did a lot better than those at College of Engineering Pune on several measures outlined below. Second, students with non-zero content survival (about 40% of those who made edits) also added a lot more content in the first place. This perhaps indicates they took the assignment more seriously.
The process followed to perform this analysis is as follows:
Students
Content Survival
Survivors vs. the rest
There is an interesting difference between students with zero and non-zero content survival.
We can make an argument that the students who put in more work had much better results.
Overall, the program worked a lot better at the Symbiosis School of Economics (SSE) than College of Engineering Pune (COEP) on several measures:
These findings are consistent with the WMF India consultants' assessment, which rates SSE favorably with regard to addressing copyright violations as well as Campus Ambassador and professor engagement.
A 10 student Master's course at SNDT Women's University: MSc (Communication Media for Children) was also part of the program. Only 12% of the content they added survived cleanup. Also, the actual amount of content added was about half of the average for the program.



At COEP:
1. Computational Methods in Engineering was the worst performer of the lot, in relative terms.
2. Digital Signal Processing was the only course with first year students.
3. Data Structures and Algorithms was a second year course, with 140+ students. The professor had edited Wikipedia before joining the program.
4. Machine Drawing and Computer Graphics was a second year course with about 180 students.
5. Solid State Devices and Linear Circuits Laboratory was a second year course with about 90 students.
6. Computer Organization and Advanced Microprocessors was a third year course with about 90 students.
7. Year 4 courses: Object Oriented Modeling and Design (16 students) & Software Testing and Quality Assurance (80 students)
At SSE:
1. All undergraduate courses and the Corporate Social Responsibility Certificate course
2. Macroeconomics was a Masters' level course with 49 students.