2012-12-14 23:18:00 GMT
Jamie Alexandre, one of our interns from last summer, has launched a fantastic project: Khan Academy Lite. His goal is to bring Khan Academy to the 65% of the world that doesn’t have internet access.
Visit the site at:
Read more about Jamie’s mission to make universal education universal:
2012-10-25 18:57:12 GMT
Software developer Stephanie Chang has just launched the very first Khan Academy exercises in Linear Algebra, the college-level topic involving vectors and matrices:
- Matrix dimensions
- Matrix addition and subtraction
- Scalar matrix multiplication
- Defined and undefined matrix operations
- Multiplying a matrix by a vector
- Multiplying a matrix by a matrix
2012-10-24 16:28:00 GMT
Intern Drew Bent has added the ability to format discussion posts with bold, italics, and
monospaced text (for software code snippets). You can apply these snazzy formatting features to your questions, answers, feedback, and even comments.
2012-10-02 00:10:00 GMT
Developer Marcia Lee and designer Kitt Hirasaki have added the ability to “comment” on people’s questions, answers, and feedback on our videos and computer science programs.
On an question, you can add a comment to help the person clarify their question. On an answer or feedback post, you can thank them or keep the conversation going. And you’ll be notified when they reply back to you.
We’re looking forward to seeing our community members connect with each other even more. Go forth and discuss!
2012-09-20 18:16:00 GMT
Intern Drew Bent and designer Kitt Hirasaki have created automatic tools to improve the quality of discussion on Khan Academy videos and CS explorations.
Our engineers have put an emphasis this summer on improving moderator tools. We have taken on a few new volunteer ‘Guardians’ who help us moderate discussions. They are helped out by our users who do a great job flagging low-quality posts.
However, even with all this, the number of posts the Guardians have to sift through can be daunting. Drew and Kitt came up with a naive, but surprisingly effective, automatic way to detect low-quality questions and answers *before* they are posted. We call it our Robot Army.
By standing on the shoulders of giants, we came up with several heuristics that can detect and prevent offensive and low-quality posts. We look for everything from abnormal uppercase-to-lowercase ratios to content with little substance. We also try to prevent users from asking for things like up-votes.
Notifying the user of a low-quality post is a delicate manner. Rather than condemning the action, we take more of a glass half-full approach and prompt the user to clarify her question or answer before posting it. We’ll even go as far as to given them contextual hints on how to improve it, whether it be 'Use standard capitalization’ or 'Try to not repeat the ! character so many times.’
At that point, the user may or may not choose to improve her post. If she goes with the latter, then her post will initially be hidden from the site.
While the heuristics used in our low-quality detection are fairly conservative, there are undoubtedly going to be false positives. In this case, a Guardian will able to see the post in our 'Pending Approval’ moderator queue and approve it, making the post appear to everybody.
We hope that these changes will help improve the quality of discussion. As for you, our users: keep on asking great question, writing helpful answers, and flagging offensive posts!