Learntech is a tech application, that supports learning. We all learn. You can be a kid or an adult, employed or unemployed you can learn at school or home, you can learn in a group or alone… It doesn’t matter, learning or personal development are everywhere and can take place at any time. Which are the challenges for learntech designers and users?
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We are living in a time of digital transformation, which influences all aspects of society. Jobs will disappear, will change and new jobs will be defined. In person, I’m thankful that engineers and other techies develop innovative tools to make our lives more easy. I see an evolution from “have to work” to “choose to work or create”. This gives us, as human beings, the possibility to strengthen our talents and competences. We get the benefit of self-development and creation.
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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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