Artificial intelligence is now everywhere. In the fields of industry, health, transport and robotics. AI is capable of being applied everywhere, and at Mandarine Academy we have understood this well. In the field of training, AI is shaking up the codes of traditional training.
Since the arrival of new technologies, vocational training has already undergone some changes, particularly with the arrival of digital platforms (MOOC, COOC…). Ending traditional on-site training for small groups of people, online training platforms are open to all and are able to accommodate large numbers of participants. Course participants, both teachers and students, are geographically dispersed and communicate only on the Internet. They are formed through a large number of resources and content available online. No more travel is required, a computer and an internet connection are now enough to train easily and quickly.
Today, thanks to artificial intelligence, training is once again taking a new turn.
In recent years, training has consisted in maximizing the profitability of training costs. The principle? Establish programs that can reach as many people as possible. The current trend is changing and becoming more individualized. Personalization is increasingly being developed to offer training courses adapted to the skills and pace of each learner. The objective? Improve employees’ skills according to their profession and needs, and make training more effective and efficient.
Obviously, it would be impossible to assign a dedicated trainer for each learner, so this is where artificial intelligence comes into play.
Adaptive learning, in its basic form, is learning that adapts to the learner. It allows each learner to be offered personalized training courses/content according to their needs, their level and their learning pace. Each learner then has access to tailor-made courses. Each path is different for each employee to ensure the best possible learning experience. These new functionalities, based on artificial intelligence, make it possible to place the learner at the heart of the training, and not the other way around.
But how does it work in practice? Adaptive learning is capable of:
All these analysis and collection functionalities make it possible to offer personalized content.
As part of a change management project, adaptive learning plays an essential role. Indeed, the third step, after strategy preparation and change management, is to strengthen change. Strengthening change involves collecting and analysing feedback by:
Thanks to adaptive learning, artificial intelligence technologies integrated into an online training platform make it possible to detect the needs of each learner in real time. It will be able to detect when the user will pick up, the rate at which they progress and offer them content that is increasingly in line with his/her progress. By adapting to the learner’s reactions and needs, they will be more involved and will want to continue. These attitudes will then boost the adoption of practices, and increase your chances of success for your change management project.