Lees meer“In the tapestry of life, personal relationships are the vibrant threads that weave meaning into our existence. They are not mere accidents but intricate designs crafted by storytellers, observed through the eyes of perception, and brought to life through the art of interaction.”
Learning and teaching are as old as mankind. They were developed at the bottom of every society and were aimed at maintaining or renewing a society. It was also a way to give everyone a position in the community. In the beginning, constructivism emphasized knowledge construction, later with the rise of social constructivism, the balance shifted to motivation and optimization of self-regulation (metacognition). The learner needs metacognition if we want to achieve conceptual change. Motivation is of primary importance because it relates to metacognitive activity and to the pursuit of meaningful, deep learning (Blom, Hoek, and Ten Dam, 2007).
With online or distance learning, more and more people will participate in a different kind of learning environments? Which kind of learning process suits these leanring environments? What are the differences between the existing learning processes and how can we support learning in these new learning environments?
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Within the trend of lifelong learning I’m convinced that peer to peer learning is an important and increasing way humans will learn from each other. First of all content is all over the internet and can be found easely. Universities, learning platforms as Udemy or Coursera offer a large range of digital courses and micro learnings. We follow “Youtubers” or become member of online communities to develop our skills or insights. Especially the growth of learning communities triggers me.
What follows is what I observed by doing several interviews with community managers, community members and 2 focus groups between community members with as topic “How can we facilitate peer to peer learning in online Communities of Practice”.
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Trust existed before the concept of “currency”. A medium of exchange is a means of conducting less intensive research into those we trade with. “Can we trust them?”
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Monday, January 6, 2020, I read an interview in Bloovi with colleague corporate anthropologist, Jiske Kramer. Sound fragments immediately come back from my study period: “hmm what are you studying? “What’s that, what’s in it for you? Why do your parents pay for your study? You can’t make money with that, can you? ” “Is that useful?”
And they were partly right… it was not easy to look for a job, especially with little work experience in a crisis period, a while ago. What it was: a very educational experience, which makes me look at the world differently and from which I still reap the benefits every day, certainly within this transforming society.
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Corona, crisis, verandering, besmettingen en doden, constante aangepaste grafieken en goede raad… Een globale crisis, zoals corona, heeft een serieuze invloed op de mensen, op de culturen en op organisatieculturen. Zoals iedereen neem ik informatie op, verwerk ik deze en maak mijn eigen beeld en bedenkingen… Als antropologe is observeren en het conceptualiseren hiervan een aangeleerd automatisme, toch kan ik het niet laten om af te sluiten met een stukje persoonlijke droom.
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Still too often corporates don’t recognize the speed and need for innovation. Often they are convinced that they still have a lot of time. The society transforms. What consequences will this have on the daily lives? We Europeans – certainly Belgians – are risk-averse (Geert Hofstede “ Geert Hofstede “Allemaal andersdenkenden – omgaan met cultuurverschillen“) and often also have a paternalistic image towards others.
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Knowledge can be collected, hoarded. Intelligence is selective. Both can be trained. In the digital society, intelligence gains importance from knowledge every day. Knowledge, data is worth gold and traded. Without context (s), without intelligence, they are worth nothing.
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Internet of things ( IOT) is a system that allows devices to communicate directly with each other without human intervention. A key feature of the Internet of Things is that each device must be uniquely identifiable or addressable.
Your devices talk to each other, not to plot against you like in a science fiction movie, but rather to help you out. Efficiency can be gained when devices communicate their status without human intervention
IOT will be everywhere in your life and will be a game changer. New experiences business models are born.
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Big data worden vaak omschreven met de vier v’s: volume, velocity, variety en veracity. Met andere woorden: veel, snel, gevarieerd en betrouwbaar.
Maar big data-algoritmes worden steeds meer gebruikt: verzekeraars gebruiken algoritmes om jouw premie te berekenen. Via data algoritme laat booking.com je sneller een hotelkamer laat boeken.
Netflix heeft het over zijn personalisatie-mechanismes die het aanbod ‘perfect’ op jouw smaak afstelt. Dat is begrijpelijk: hoe meer je vertrouwt op de keuze die Netflix voor je maakt, des te kleiner de kans dat je zelf op zoek gaat naar iets anders en erachter komt dat het Netflix-aanbod vrij beperkt is.
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