Other-ai.org – Free Online Course introduction to Artistic Intelligence – (and Stanford Intro to AI course)

This is awesome! I am participating in the Stanford Intro to AI course this fall because I think it is just one example of the future of education.  Somebody in the class posted the link to other-ai.org and I checked it out (mostly because of my cultural studies background).  I really like what Aprille Glover has done with her own version of an AI (Artistic Intelligence) class.  Hats off to her! I look forward to playing catch-up and participating in her class.

In the video above, Aprille points out that the Stanford AI (Artificial Intelligence) class is a seminal work and is itself developing its own culture.  As a participant, I can speak to this a bit.  What is most culturally relevant to me as a juxtaposition to traditional education is how intelligently (pun not intended) the course materials and videos have been designed to lead learners in an unprecedented fashion.  Most importantly, the instructors have played to learners’ emotions by introducing quizzes before they introduce new material as a way to “test your intuition”.  This particularly intrigues me from a cultural studies perspective knowing that the majority of students in this inaugural class are probably intellectuals, self-starters, highly educated, and/or high achievers…So, it is probably a common human reaction early in the class for the typical student to get flabbergasted at the quizzes since we are being slightly tested on things that have not yet been introduced.  I can already hear some of you screeching imagining yourselves in such a situation (haha).  But seriously, this is just a little nuance that I feel sets the process of participating in such a course apart from other learning initiatives.  Secondly, what stands out from a peer perspective is the work other classmates have done to ensure that their classmates understand the course materials.  Such peer support shows up in works such as Larve Code, language translations, and also in the Office Hours sessions delivered via Google+ Hangouts and YouTube videos where students propose sectional questions in the forum and the most voted on questions end up being answered by the professors. And just in case your question goes overlooked, or not fully answered, there are other resources to posts questions regarding subject materials, quizzes, homework, and tests. Or you can just ask a classmate talking about @aiclass or #ai-class on social media.

All in all, I’d say that this is has been a unique learning experience and I look forward to seeing what the exponential growth is moving forward. As for AI, as a business and humanities brain, it has been a little different jumping right into a Stanford level AI course (intro or not…) without having the requisite math, comp sci, engineering, or programming experiences that were suggested. However, I am not using my “newb-ness” as an excuse (especially considering many of the prerequisite topics were linked to with accompanying Khan Academy videos prior to the first session). I will say that if you plan on taking the Advanced route (homework and tests), I would definitely suggest that you set aside a good 10 – 12 hours per week to take the class, study, finish associated readings, and do the homework. Your other option is to do the Basic route and simply watch the class videos without the homework or the tests.

I was comfortable just jumping into the course without much previous knowledge because I’ve learned that the best way to learn something new is to make a lot of mistakes quickly and learn from them (so long as you don’t keep repeating them)…or like they say “fail fast, fail often”. This is the 21st Century approach to learning and coincidentally, AI is going to really hit its stride in the 21st Century. So no matter if you are an existing software engineer or an art historian, you will no doubt benefit from taking the mentioned classes to gain the inside scoop on AIs (and the future of learning).

~ by Adam Maikkula on December 7, 2011.

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