Educational needs and technology; on towards the ‘Netflix model’?

Artificial intelligence cinop(1)

26 February 2019

Soon the second article will appear on in which we, together with a number of administrators from the hbo (Fokke Aukema -politieacademie, Henk Hagoort -Windesheim and Dick Schweitzer -Saxion part-time) think about what it means to organise flexible education in which the student is both a client and a partner at the same time. As a customer, he expects service and personal service. As a partner, the student, together with the trainer, designs a personal learning route based on his wishes and (learning) needs.

An interesting prediction that we make in the article is that we expect that, by means of technology, the learning needs and learning preferences of students can be better and better mapped out.

By collecting data during learning but also at work, algorithms are increasingly capable of mapping a very personalized learning demand.

The Netflix model

Compare it with a service like Netflix; by carefully analysing your viewing behaviour, the service knows better and better what you want to see. Based on this knowledge, they can make an ever better selection of series and films that will interest you. They are even able to make series and films based on the algorithms so that new material closely matches specific target groups.

Similar technology will be used more and more within professional organizations to better understand the areas in which an employee needs to develop himself in order to remain relevant to the organization. But also to be able to remain permanently employable in the ever more rapidly changing labour market. In this context, people will be able to indicate their career ambitions on a platform that can then provide accurate advice on the knowledge and skills required to achieve their goals. And what training is best suited to facilitate this curriculum?

Which learning method suits me?

Not only is the content of learning being better and better identified with the help of artificial intelligence, but the way in which individual people learn the best is also being determined more and more precisely. Coupled with personal preferences, it will be possible to determine which learning method can best be used to achieve a certain learning objective. Perhaps through virtual reality training or daily short messages and instructions? A classic course cycle or an online training course? There are many possibilities and, as more data is collected and better algorithms are developed, better methods will be developed.

International network

The platform that is best able to unlock this type of information for its users will eventually gain a dominant position. The more users share their data, the better the platform will be. This implies that it is very well possible to create an international network that will form the basis for our education. Maybe this is still a long way off, but given the increasing demand from the business community for people with the right knowledge and skills, things could go a lot faster than we can imagine right now.

In the meantime, programmes will have to identify the student’s needs in the best possible way and what suits him or her best. Through a good personal approach and with the help of some statistics, you can achieve a lot today. By setting this up and implementing it properly, educational organisations can prepare themselves for the education of the future and make an important step towards improving the connection between education and the labour market. How? We would like to explain this in our next article on