HOW IS ARTIFICIAL INTELLIGENCE HELPING THE TRAINING SECTOR?
When we think about Artificial Intelligence, we usually conjure up the image of highly sophisticated technology applied in industrial environments. However, in our daily lives, we realise that AI is present in an infinite number of applications and sectors. In this respect, the training sector is a clear example of how applying Artificial Intelligence and Machine Learning application can optimise training courses and companies’ programmes for their workers.
USE CASES WHERE ARTIFICIAL INTELLIGENCE BENEFITS THE TRAINING SECTOR
Let’s look at a few examples of the potential of the Artificial Intelligence application in the field of training and e-learning companies.
MORE PERSONALISED ADVICE
Data is constantly generated by online training. Each time a user starts a session, data is recorded on its duration, the time spent on each section, the material used, the browsing history, performing tests and their results, etc.
Before digitalisation, much of this valuable information was lost. Now it can be processed automatically, thanks to Artificial Intelligence and Machine Learning platforms such as ENAIA. This can thereby predict the behaviour of each student, the trainers and each of the courses.
These predictions offer incredible potential for improvement because they make it possible to design optimum educational paths for each student beforehand and assign trainers to programmes or specific students because we know that they will get better results.
REAL TIME ASSESSMENTS AND SKILLS DETECTION
The assessment process is fundamental for trainers and students. Thanks to Artificial Intelligence, they can be automated, facilitating and easing the processes, even in real time, or with results at a programmable frequency. Furthermore, Artificial Intelligence applied to the field of training companies helps teachers, detecting specific aspects among students and offering specific tools to increase satisfaction and improve performance.
OPTIMISATION OF RESOURCES AND CONTENTS
By processing data on students’ interactions, we can predict which resources, materials and contents will work better. For instance, to generate new contents, we have Artificial Intelligence’s great allies, chatbots (virtual assistants that offer solutions and recommend content to amplify information).
Analysis of data compiled by chatbots can be used to draw conclusions on the resources and the contents provided, and for greater personalisation of the user experience. Obviously, needs and abilities vary, so each person will respond better to a type of resource or content.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING MULTI-TASK PLATFORMS FOR THE TRAINING SECTOR
As you have read, applying Artificial Intelligence in training makes it possible to resolve this sector’s major current problems such as using generic methods that lack personalisation, course content that is too wide-ranging, sluggish resources and out-of-touch assessment systems.
AI applied to training opens up a wide range of opportunities to optimise the approach of the training offer and develop student and employee capabilities more actively and effectively. To achieve this, there are multi-task Artificial Intelligence platforms such as ENAIA, the perfect technological ally to extract all the value from your data and apply it in cases you need to resolve.
ENAIA, ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR COMPANIES AND TRAINING PROGRAMMES.
Generic training programmes, resistance to change and lack of knowledge on the latest technology are among the main enemies of companies in the training sector on their path to digital transformation. ENAIA’s accessibility and easy integration make it the perfect Artificial Intelligence and Machine Learning platform for training companies and centres.