Using IoT in training of low-skilled adults

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One of the structural shifts taking place in education is the move from a knowledge transfer model to a (peer-) collaborative, information-sharing system. IoT may have a profound impact on the way we teach, because connected systems enable teachers to facilitate learning rather than to merely repeat information. Particularly low-skilled learners might need more repetitions than others at class but in smart/ digital education settings they could do it on their own, contents and activities could be modeled to their specific needs and they could  be supported by individual items they are aware of.

IoT systems can provide feedback, assistance, and monitoring – at classroom-level or at home when connected to the Internet – , communicate these automatically. They can help in providing individualised training/ learning sessions to a larger group of individuals.

For low-skilled adults, a benefit can be that with smart education they get access to a modern learning environment. They might not need extra devices like a computer or smart tablet but could use their smart phone and TV connected to the learning environment, or any other device capable to be part of the IoT.

Any specific needs should be considered, including e.g. possible lower digital skills, communication and (online) presentation skills, any lower competences related to learning to learn (when it comes to self-empowerment, self-guided learning to self-motivation) and team working in digital environments. Certainly, these are aspects, which should also be considred in traditional classroom teaching but could be addressed there easier in sitiu, in general. However, this may no longer be true where there are many low-skilled adults in one course or many of the same courses, or where they live in remote areas and could not participate regularly at traditional face to face training e.g.