Self-Organised Learning Communities

What's the optimum size for a learning group?

YAML 问题

Learning in a group has benefits (speed up understanding, see new perspectives, solve problems faster, boost motivation). But what's the best size for learning groups?

Background info: Inspired by educator Sugata Mitra project "Hole in the Wall", I question how learning could spread outside education institutions and more as culture in our world. Also when reading B.Fuller's ideas on synergetics and systems (book "A Fuller Explanation"), I got to know about a min.system pattern found in nature called tetrahedron.

Here, I wonder, if a min. size of a learning group is 4? And is it the best size?

I'm curiois because I'd love to facilitate multiple learning groups!


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不要误解社交黑客。它只是意味着帮助社区保持正轨。并且,您不会为想法赋予道德价值,而是为您的想法找到比您更有益于他人的方法。你的业力会照顾你。考虑社区优先的方法。

Dont misunderstand social hacking. It simply means helping communities to stay on track. And, you dont attach moral value to ideas, but find a way for your idea to benefit others even more then you. Your karma will take care of you. Think community first approach.


宇宙似乎只是从时间的距离上重生。观察大流行,我意识到,每一次大爆炸都是一个相变。像水沸腾。首先,几个泡沫开始合并,通货膨胀阶段开始,合并迅速,将旧结构爆炸性地转变为新结构。它是一种结构变换。它可以建模为一个函数,一个仪表。我在我的逻辑引擎中构建这些功能。所以,每一个开始,如果成功,都会接管思想,传播,并成为一场运动。而且,如果你想成功,就顺其自然。最好的办法是对任何想法都赋予很高的道德价值,然后随它去。我称之为社交黑客。说真的,我看到社区如何自我指导,以优化自由和善良。这些可以通过仪表测量并通过社区仪表板上的刻度盘进行调整,在社区同行评审下,并编入区块链 nft。这就是我所看到的 solarea 提供的。

Universes only seem to be born anew, from the distance of time. Observing the pandemic, i realized, every big bang is a phase transition. Like water boiling. First, a few bubbles, they start merging, and inflationary phase begins, when mergers quickly, explosively transform the old structure into new one. Its a structure transform. It can be modelled as a function, a gauge. Im building these functions in my logic engine. So, every beginning, if successful, takes over the minds, spreads, and becomes a movement. And, if you wanna succeed, go with that flow. Best is to attach a high moral value to any idea, and let it go. I call it social hacking . Seriously, i see how communities can self guide themselves, to optimize freedom and kindness. These can be measured by gauges and adjusted by dials on community dashboard, under community peer review, and codified into a blockchain nft. Thats what i see solarea to provide.


我对那个主题很感兴趣。我将学习和教学视为任何组织结构的有机组成部分。保持结构的自由度至关重要,因此人们可以在其中自由移动。我把位置想象成节点,人们喜欢自由粒子,成群结队地粘在这些节点上。因此,一个由一组合作者占据的经理职位,使用我们提供的教学工具,而不是社区提供的教学工具,相互教学和指导。尽管如此,我们必须实践它,创造种子工具,在solarea中交易它们,让社区接管并发展它。那将是我们的教育行业。分布式和有机,一种自己的经济,主要使用现有的教育者和工具,但在不同的自由结构中。这适用于任何行业。这是一种解决方案。

Im very interested in that subject. I see learning and teaching as an organic part of any organizational structure. Its essential to maintain degrees of freedom in the structure, so people can freely move within it. I envision positions as nodes, and people like free particles, sticking around in clumps to those nodes. So a manager position occupied by a team of collaborators, teaching and mentoring each other, using the instructional tools we provide, rather community provides. Still, we have to practice it, create the seed tools, trade them in solarea, and let community take over and evolve it. That will be our educational industry. Distributed and organic, an economy of iys own, prbly using the existing educators and tools, but in a different structure of freedom. That applies to any industry. This is a type, of solution.


不,不是随机的。每个开始都是对其他过程的迭代。请记住,它都是分形的。开始只是一个分叉,可能结果的实例化。

No,not random. each beginning is iteration on other process. Remember, its all fractal. Beginning is just a fork, instantiation of possible outcome.


喜欢那个 [bauhouse],感谢您一起探索!

从您的引述来看,我们似乎同意关于系统如何运作的自组织。

但是系统的诞生呢?自组织系统是如何诞生的?如果我们寻求一个自组织的学习社区,那么探索系统的起源很有趣。或者开始只是纯粹的随机性?

Love that [bauhouse], thanks for exploring together!

From your quote it seems that we agree about self-organisation on how systems function.

But how about the birth of systems? How do self-organised systems birth? If we seek a self-organised learning community, then the beginnings of systems are interesting to explore. Or are beginnings just pure randomness?


我也受到 Sugata Mitra 对自组织的探索的启发。 Jeremy Lent 的著作《意义之网》探讨了自组织的概念,因为它适用于自然模式和人类活动。

“尽管这些模式在自然界中非常壮观,但它们所代表的原则也适用于人类活动。无论我们是在研究胚胎如何发育、进化如何发生、生态系统的动态、城市如何运作、市场如何波动,甚至文明如何兴衰,许多原则保持不变。当我们意识到这些自组织模式适用的广阔领域时,我们开始理解理解它们是多么重要。”

借了,杰里米。意义之网(第 102-103 页)。新社会出版社。 Kindle版。

I was also inspired by Sugata Mitra’s explorations of self-organization. Jeremy Lent’s book, The Web of Meaning, explores the concept of self-organization as it applies to patterns of nature and to human activity.

“Spectacular as these patterns are in nature, the principles they represent also apply to human activity. Whether we’re looking at how an embryo develops, how evolution occurs, the dynamics of an ecosystem, how cities operate, how markets fluctuate, and even how civilizations rise and fall, many principles remain the same. When we realize the vast terrain over which these patterns of self-organization apply, we begin to comprehend how crucial it is to understand them.”

Lent, Jeremy. The Web of Meaning (pp. 102-103). New Society Publishers. Kindle Edition.



    : Ruta
    : Mindey
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