Nashev / TextBrain

experiments with AI;
http://innenashev.narod.ru
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Система адаптивного обучения #113

Open Nashev opened 7 years ago

Nashev commented 7 years ago

Автоматизация обучения, основанная на построении модели знаний ученика и корректном формировании для него индивидуальной учебной траектории — наше светлое будущее.

Мечтаю об учебнике, описанном Нилом Стивенсоном в книжке Алмазный век или Букварь для благородных девиц

(из моих комментов к https://www.facebook.com/shperk/posts/10159401222250153)

Nashev commented 7 years ago

https://www.scientificamerican.com/article/how-big-data-taking-teachers-out-lecturing-business/ - первая крутая ласточка! Компьютер подбирает персональную программу обучения математике. Система https://www.knewton.com/ — affordable, adaptive course solutions in higher education

adaptive-software makers must first map the connections among every concept in a piece of learning material. Once that is done, every time a student watches a video, reads an explanation, solves a practice problem or takes a quiz, data on the student's performance, the effectiveness of the content, and more flow to a server. Then the algorithms take over, comparing that student with thousands or even millions of others. Patterns should emerge. It could turn out that a particular student is struggling with the same concept as students who share a specific psychometric profile. The software will know what works well for that type of student and will adjust the material accordingly. With billions of data points from millions of students and given enough processing power and experience, these algorithms should be able to do all kinds of prognostication, down to telling you that you will learn exponents best between 9:42 and 10:03 a.m.

They should also be able to predict the best way to get you to remember the material you are learning. Ulrik Juul Christensen, CEO of Area9, the developer of the data-analysis software underpinning McGraw-Hill's adaptive LearnSmart products, emphasizes his company's use of the concept of memory decay. More than two million students currently use LearnSmart's adaptive software to study dozens of topics, either on their own or as part of a course. Research has shown that those students (all of us, really) remember a new word or fact best when they learn it and then relearn it when they are just on the cusp of forgetting it. Area9's instructional software uses algorithms to predict each user's unique memory-decay curve so that it can remind a student of something learned last week at the moment it is about to slip out of his or her brain forever.