IOE published its entrance result on Bhadra 1st 2075. The result published by IOE came in the form of a 106-page long pdf file which includes the form number, applicant’s name, gender, district and rank of 6335 students who passed the entrance examination. I feel this way of publicly publishing the result violates the privacy rights and would be glad to discuss how this would relate in the legal terms (Constitution of Nepal 2072, Part 3 (28)). However, there exists an argument that this way of publishing the result would maintain transparency within IOE ecosystem, which although, right, can’t be the basis to violate privacy rights. Anyway, this is not the point of this story, and moreover, the result published in this way is the reason I can do the following analysis.
Here I am primarily focusing on two attributes: gender and district. The gender distribution of the students who passed the IOE entrance looks like this:
This graph is alarming, and thus, a severe step has to be taken to make the field more evenly distributed. This, however, is a global issue regarding overall STEM (Science, Technology, Engineering, and Mathematics) education and various studies (like Solving the equation) have been conducted to understand this phenomenon and even propose some remedies.
Next, I analyzed the result according to the geography by looking at a number of pass students in each district. Out of 75 districts, 74 districts have the representative student on the list. Kathmandu with 457 is the largest and Mustang with 1 is the smallest regarding a number of students. Manang is the only district without any student on the list. The overall heat map looks like this
Although disturbing I don’t think any person who understands the socio-economic aspect of Nepal would be surprised with this picture. However, I strongly believe that the general population density map would also look similar (although I couldn’t reference something here).
Although 6335 students passed the examination, I doubt all of them would pursue engineering education. As such, I wanted to see if there would be any changes in the story if I will only look above the threshold rank. I chose this threshold to be 1872, the number of seats that IOE has in its affiliated campuses. Looking at the distribution according to the gender:
Similarly, the new geographical heat map looks like this, which seems pretty much the same at a glance:
On this threshold, only 71 districts have their representation. The maximum is Kathmandu with 137 and the districts with a minimum number of pass students, 1, in this threshold are Panchthar, Mugu, Dolpa, Doti, Rukum and Bajura. The districts left out are Manang (from before), Mustang, Humla, and Rasuwa.
To sum up, women’s involvement in IOE engineering is alarmingly low, and the students from hilly and mountain region of east, mid-west, and far-west are low.
Acknowledgment: I want to thank Shradha Shrestha for helping me put up these heat maps of Nepal with her GIS skills.
(Prashnna K. Gyawali is currently Studying PhD at Rochester Institute of Technology)