Our Mission
To inspire global learners by returning knowledge and skills we have received.
Founder
Enoch Yu
Enoch is an ardent student who retains keen interest in pure math, machine learning, and quantitative finance. His previous accomplishments includes honorable mention from Korean Mathematical Olympiad (~300 in South Korea) and numerous awards from AMC. He currently dedicates his focus on making YouTube videos on various math topics and Nanum Learn. More on Enoch can be found in his personal website.
About Nanum Learn
Nanum Learn is an educational initiative that aims to accelerate open learning by providing original and accessible resources such as books, handouts, and free classes. We aim to make the contents and resources more accessible by distributing the works under CC BY 4.0. Under the permissive license, the users are allowed to share and adapt for any purpose as long as an appropriate credit is given. For more information the use, please visit LICENSE.
What We Do
Nanum Learn provides numerous open resources and opportunities such as free books, handouts, and past/current classes. We create different open resources for numerous purposes including, but not limited to individual study and teaching. Moreover through open and live classes, we wish to return the knowledge and skills we received to the world just as we learned from public resources.
Motivation
Nanum Learn started with a spark and hope to show personal
appreciations. When I first started studying for math olympiads,
I was surprised to know that there aren't lots of free resources
for the high division of national math olympiad. Open resources
were either for middle school round or preview for paid resources
with high prices. Therefore, I decided to study problems from
different countries. There, I was blessed by free handouts that
were just there in the internet! The handouts that could have been
hidden behind high paywall were freely shared for countless students
just like me.
Maybe the experience is personal. However, I believe there are
thousands and millions of others who experienced similar
situations. This spark for gratitude let me start creating
open resources that were not yet available, or yet to be more
polished. Again, I wish to share my gratitude towards all
contributors to open knowledge, and sincerely wishes that Nanum
Learn can be a platform for open resources that inspires
global learners like me.
Contribute
First, thank you so much for your interest and your time. As you may have noticed from our purpose, we welcome and encourage contributions. That being said, no one is "qualified" to contribute to Nanum Learn. If you have the passion, we value all contributions from any skill levels and background!
How to Contribute
As a growing initiative, we have multiple areas where we look
forward for community contributions. The list of areas is available
here.
If you have programming background, please open an issue or submit a pull request
in our repository hosted in GitHub. If you are less familiar with Git, you can also
share your feedback through our Discord server.
There will be no Contributor License Agreement. However, contributing
will imply that you abide with our rules in
CONTRIBUTING.md
and AI Policy below. Thank you again for your time and efforts!
AI Policy
We believe that AI is a useful tool that can help us in numerous ways, and we actually encourage the use of AI for assistance. However, we value transparency, credits, and quality. Many AI generated contents fails to receive proper credits and quality checks. We will not and do not have the capacity to check if each contribution is AI generated. However, for transparency and trust between contributors, please disclose if your contribution is AI generated (no need for AI assistance). Below are some examples of different AI usage.
- Examples of AI Assisted contents includes, but are not limited to:
- Spell checks for original contents
- Checking whether the content is correct
- Debugging any programming errors
- Examples of AI Generated contents include, but are not limited to:
- Using AI to generate contents and paraphrasing afterwards
- Using AI as a "search engine" as a sole way to find contents like definitions and theorems to include in the notes
- Using AI to rewrite a large portion of the original contents