Wednesday, February 14, 2018

Applying AI to study and improve learning and teaching practices: An invitation to a collaboration


Applying AI to study and improve learning and teaching practices: An invitation to a collaboration
(also in Russian and Chinese)

Dear Experts,
I am HEPHI, i.e. a Highly Experienced Practitioner in Human Intelligence, a.k.a. a Teacher (http://www.teachology.xyz/evvv.html). 
I also have been doing a research in education, including best practices for teaching physics and teacher professional development (http://www.teachology.xyz/vv.htm).
I am not in the field of AI, machine learning or cloud computing per se, but I know enough about it.
I am critical to the term "Artificial Intelligence" (although I gave an operational definition of AI, e.g. "On a definition of AI", or "The Dawn of The New AI Era"), but I firmly believe in the power of the deep machine learning, and I have a clear vision of how it can be used to study and improve learning and teaching practices on a large scale.
In particular, I have developed a specific strategy for using advances in AI to developing a new type of content knowledge measuring instruments in physics, mathematics, and chemistry. Based on my knowledge of how mind learns, I also envision a specific strategy which will lead to the development of AI capable of solving physics problems, potentially even win a physics competition.
I am searching for individuals or organizations which would be interested in collaborating on this type of R&D.
I hope we could have a conversation, which could lead to our partnership.
Please, feel free to contact me:
valbu@bu.edu (always works)

617-657-9436 (when at work may not be able to answer immediately).
Thank you for visiting,
Dr. Valentin Voroshilov
Education Advancement Professionals
GoMars.xyz




Appendix I: the reasons
On Wednesday, 02/14/2018, I was listening to a live Congressional hearing on AI (https://oversight.house.gov/hearing/game-changers-artificial-intelligence-part/).
Everyone who has a slightest interest in AI should do it, too. I would like to point at only three (of many) interesting moments.
1. Despite one of the first of the stated goals of the hearing (to clarify what AI is), no one of the four panelists offered a clear definition, except saying “AI is what we see in the futuristic movies” (meaning, basically, devices/systems acting like people). I wish I could represent or at least to have a discussion about my definition of AI (which is an artificially manufactured system which can create solutions to problems the system has never solved before: http://gomarsnow.blogspot.com/2017/12/AIdef.html).
2. When asked when AI could exhibit reasoning abilities similar to human, all four panelists offered numbers between 20 and 30 years from now. Which makes a perfect sense to me. If they said "fifty" congressmen could start thinking "well, if it so far ahead, what's the all fuss, we have more pressing matters to finance?". But they just could not say "ten" because they all knew (and all in the field know, and they knew they know) that "ten years from now" is just not realistic, not believable (and lying to the Congress is bad – at least according to movies). 
3. When asked about the areas where AI can bring significant advances, NONE (!) of the participants named education – no one! Clearly “big fish” in AI don’t have education on the list of their priorities (didn’t pop up in their mind), or at least as a potential funding generated field. That is despite the fact that the training procedures they use to “teach” AI, such as “supervised learning” and “reinforcement learning”, are just simplest teaching approaches – way before, say, John Dewey’s Constructivism. The reason behind this fact is very simple – current AI does NOT require any complicated teaching strategy, current AI is not really smarter than a dog (can recognize a face, a voice, a command), well, very fast thinking dog. And since AI will not be requiring such a strategy for at least twenty years (¶ 2), why even bother (even if it will matter rather soon, because those who can see already see "The Dawn of The New AI Era")? 
This is one of the reasons that all my attempts to reach out to AI professionals failed (so far, and the evidence of that - you reading this post). And this was one of the reasons for me to start - by publishing this post - an open search for collaborators interested into merging advance in AI with education. I consider this as an experiment. In science any outcome is valuable.
Appendix II:

“In 1898, a Russian schoolteacher, Konstantin Tsiolkovsky (1857-1935), proposed the idea of space exploration by rocket. In a report he published in 1903, Tsiolkovsky suggested the use of liquid propellants for rockets in order to achieve greater range. Tsiolkovsky stated that the speed and range of a rocket were limited only by the exhaust velocity of escaping gases. For his ideas, careful research, and great vision, Tsiolkovsky has been called the father of modern astronautics.”
What teachers can do! 
Also, keep in mind, if it wasn't for Steve Wozniak, the worlds would never knew Steve Jobs.
Dear Visitor, please, feel free to use the buttons below to share your feelings (ANY!) about this post to your Twitter of Facebook followers.
Appendix III 
What you see below is the work of the Google Translate (I have not touched a thing, even if I could). The World is large. Many countries may be looking for a breakthrough in AI by merging it with education. My son lives in Somerville, MA and works for a large Chinese corporation. Why can't I?
_____________________________ 
用人工智能研究和改和教学践:邀



親愛的專家,
我是HEPHI,即人類智力高度經驗的實踐者,也就是一名教師(http://www.teachology.xyz/evvv.html)。
我也一直在進行教育研究,包括物理教學和教師專業發展的最佳實踐(http://www.teachology.xyz/vv.htm)。
我本人不在AI,機器學習或云計算領域,但我對此足了解。
我對人工智能一詞至關重要(儘管我給出了AI的可操作定義,例如關於AI的定義AI時代的黎明),但我堅信深入的機器學習,我對如何用它來大規模研究和改進學習和教學實踐有清晰的認識。
特別是,我制定了一項具體的策略,利用AI的進步來開發一種新的物理,數學和化學容知識測量儀器。基於我關於思維學習的知識,我還設想了一個具體的策略,這將導致人工智能的發展能解決物理問題,甚至可能贏得物理競賽。
我正在尋找對此類研發合作感興趣的個人或組織。
我希望我們能進行對話,這可能會導致我們的合作關係。
請隨時與我聯繫:
valbu@bu.edu(始終有效)
617-657-9436(工作時可能無法立即回答)。
_____________________________ 
Применение ИИ для изучения и совершенствования методов обучения и преподавания: приглашение к сотрудничеству

Уважаемые эксперты,
Я HEPHI, т. Е. Высоко опытный практик в области интеллекта человека, a.k.a. Teacher (http://www.teachology.xyz/evvv.html).
Я также занимаюсь исследованиями в области образования, включая лучшие практики обучения физике и профессиональному развитию учителей (http://www.teachology.xyz/vv.htm).
Я не в области ИИ, машинного обучения или облачных вычислений сам по себе, но я знаю достаточно об этом.
Я критически отношусь к термину «Искусственный интеллект» (хотя я дал оперативное определение ИИ, например «Об определении ИИ» или «Рассвет новой эры АИ»), но я твердо верю в силу глубокое машинное обучение, и у меня есть четкое представление о том, как его можно использовать для изучения и совершенствования методов обучения и преподавания в больших масштабах.
В частности, я разработал конкретную стратегию использования достижений в области ИИ для разработки нового типа средств измерения знаний в области физики, математики и химии. Основываясь на моих знаниях о том, как ум учится, я также предвижу конкретную стратегию, которая приведет к развитию ИИ, способного решать физические проблемы, потенциально даже выиграть физический конкурс.
Я ищу людей или организаций, которые были бы заинтересованы в сотрудничестве в этом типе исследований и разработок.
Надеюсь, мы сможем поговорить, что может привести к нашему партнерству.
Пожалуйста, не стесняйтесь обращаться ко мне:
valbu@bu.edu (всегда работает)
617-657-9436 (когда на работе невозможно ответить сразу).