Yeah, it sounds like a fancy vision but we're further along than you'd think. Our goal is to take spaced repetition and this new concept of meta-adaptivity and apply it to the masses, not just the hardcore users. Learning isn't just meant to be something you do in isolation - there is a community aspect and there are endless things you can with a big data approach. If you have a centralized API, you can track which facts learners struggle with and use the algorithms weight those facts for first-time learners). My personal belief is that an "adaptive" learning system doesn't just adapt to the spacing effect, but to your study habits, emotional state, learning style, and even the global activity linked to certain concepts.
I think that it works for a very particular use case, and you need to fully commit to it to get the intended benefits. I used it extensively during my first 2 years of medical school along with trying physical cards, Quizlet, and even my own custom batch files and macros. While many people may love Anki, you can count me out. If you have loved and used Anki as much as we have, then give Memorang a try and see what you think! (or come help us improve the future of learning ) The latest study is still in the works, but will involve significantly more data.Īnki is a fantastic program and many people love and use it everyday. The original study focused on efficacy, you can find the slides we did for an NSF sponsored presentation here. In a couple of experiments that we've done partnered with large institutions, one still underway, we have shown that most students are not "ideal learners" in that most still cram right before big exams or deadlines. Anki has the underpinnings of supermemo, which is designed for the ideal learner. In fact many hard-core Anki users have switched over to our platform and love it! The main difference is in the ease of use of both creating and consuming content. Memorang was designed from the ground up to be the next generation adaptive learning platform. Anki is a great tool and has a wide variety of content on Ankiweb, however the ecosystem doesn't allow for any collaboration or the ability to keep content up to date (aside from manually editing decks, but where for example can you suggest a correction?). A friend and I decided to build an Anki replacement a few years ago, it's now located at and has a loyal following of 10s of thousands of users.
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