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Don't take me wrong, I really appreciate Khan and I've learned quite a bit from his videos, but I am not seeing the technical challenges in running the website. My opinion is the challenge with Khan's academy is not a technical one, but how to scale the teachers/presenters. Khan is a great teacher, very knowledgable and engaging, but how do you find people like him to take over the other subjects.


A few things we're currently working on building:

– The next version of our personalized learning dashboard [1] to make the UI more consistent across subjects and to help people learn better

– Improved knowledge models so we can better know what you know and don't know [2]

– Better tools for our content creators to allow them to make thousands of engaging, interactive exercise problems without knowing how to code [3]

– A major revision to our iOS app to let students practice skills on the go (or in a classroom with iPads!)

– Infrastructure improvements to make the site more reliable and faster for our millions of visitors every month [4]

There's a ton more that we want to do but haven't had a chance to even think about yet. Not all of our work is technically interesting, but a lot of it is, and it's easy to find technical challenges if that's what you're looking for.

(As for new content, we're working on partnerships with other organizations [5][6] and have many new content creators in other subjects [7]. We're obviously working hard to find ways to make more great content.)

[1]: https://www.khanacademy.org/about/blog/post/58354379257/intr...

[2]: http://mattfaus.com/2014/05/improving-khan-academys-student-...

[3]: https://github.com/Khan/perseus

[4]: https://twitter.com/soprano/status/474729636710985728

[5]: https://www.khanacademy.org/about/blog/post/90372763660/new-...

[6]: https://www.khanacademy.org/about/blog/post/65072185996/khan...

[7]: https://www.khanacademy.org/about/blog/post/89105955375/more...


Another example of something technically cool that we built recently is tinyquery, a pure-Python reimplementation of Google BigQuery suitable for very small data sets, which we're using for (fast) integration testing when building pipelines on top of the BigQuery API:

https://github.com/Khan/tinyquery




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