Artificial intelligence and training: 6 use cases that are transforming learning

The subject of AI is on everyone's lips, and many professionals are wondering how it is changing the world of work. For many, a tool such as ChatGPT has become a real day-to-day support, capable of significantly boosting productivity.

Of course, this revolution has not gone unnoticed by the trainingsector .

Organisations and companies alike understand that artificial intelligence and training now need to work in tandem, to save time while providing a better experience for the key stakeholders: the learners.

What are the use cases associated with artificial intelligence? What tools can help you with this transformation?

Follow the guide 👉.

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6 examples of the use of AI in training

Use case 1: truly adapted learning paths (adaptive learning)

Where the impact of artificial intelligence is felt most is in the quality of the learning paths themselves : the technology makes it possible to go even further in terms of personalisation.

Organisations and companies have long understood the benefits of offering content and teaching methods that match the profile of each learner. This was made possible by pre-assessments.

But today, with AI, we are developing more tailor-made solutions. This is what we call adaptive learning, i.e. courses that can be adapted in real time according to the student's interactions with the educational material 🧑‍🏫.

In other words, thanks to the data collected, the programme is constantly adapted to the student's level and progress in the course.

Use case 2: accelerated construction of training content

Before AI, the construction of training programmes was very time-consuming for designers. Imagine doing it all by hand, immersing yourself in online resources, manuals and other statistics. Not to mention the writing time itself...

Technology greatly automates the process, and artificial intelligence becomes a real editorial assistant, helping you to develop, structure and optimise your content in line with the course objectives. It can even help you produce visuals or videos, or translate your training courses into other languages.

Finally, to avoid the pitfall of a static text that is not very engaging, the AI knows how to make everything dynamic, i.e. :

• vary the media used ;
• adding interaction and gamification.

💡 Good to know: collaborative learning is becoming increasingly widespread because of its proven effectiveness. However, the employees who put on the hat of instructional designer (even though it's not their job!) sometimes have neither the required skills nor the bandwidth to carry out this type of mission successfully. All the more reason to turn to artificial intelligence!

Use case 3: advanced performance analysis

The ability of AI to skilfully analyse a large quantity of data provides invaluable feedback on learner performance:

• time spent on each module ;
• scores obtained in different tests ;
• percentage of exercises successfully completed
• time spent on the platform ;
• type of resources most consulted, etc.

But artificial intelligence also provides valuable information about the effectiveness of your training courses in general. So you're able to understand what works... and what doesn't!

💡 Worth knowing: developed by Axess, the e-parcours software supports training organisations in the day-to-day management of their activities. It enables training data to be collected and analysed via dashboards and reporting, an essential structuring step before using AI.Financial performance, learner satisfaction... with this software, training providers have a consolidated, up-to-date and above all relevant view of their key indicators, so they can better identify areas for improvement and opportunities.

Use case 4: automating administrative tasks

Artificial intelligence is revolutionising the administrative management of training organisations and companies by automating various repetitive and time-consuming tasks.

For example, chatbots and other virtual assistants can be used to register for sessions, manage calendars and send out reminders.

Often, these tools are also used to facilitate communication between the various stakeholders, by answering learners' frequently asked questions.

In all cases, thanks to this automation, trainers gain time to concentrate more on human interaction, thereby enriching the learning experience.

Use case 5: Intelligent tutoring, to benefit from a real virtual coach

Thanks to artificial intelligence, learner support no longer depends on fixed timetables or the availability of a trainer.

There are now virtual tutors, powered by natural language processing algorithms, always on hand to guide, explain and reassure.

In practical terms, these educational chatbots are integrated into training platforms, such as LMSs, to interact with the user and offer contextualised answers. Better still, they can recommend targeted resources, depending on the level of difficulty or gaps identified.

In this way, learners can progress at their own pace, in an environment that is highly conducive to engagement.

Use case 6: enhanced accessibility and inclusiveness

Today, accessibility is no longer a mere formality. It has become a real challenge for businesses. And the good news is that artificial intelligence is proving to be a major ally in meeting this challenge.

When it comes to learning, not everyone has the same ability to access information. Visual, hearing and cognitive impairments, language difficulties... these are just some of the obstacles that AI can overcome through well thought-out technical solutions.

👉 Here are a few concrete examples:

• automatic subtitling of videos, with bluffing accuracy ;
• real-time multilingual translation for non-French-speaking learners;
• audio reading of written content, useful for the visually impaired or dyslexic;
• voice navigation, for those unable to use a mouse or keyboard.

Artificial intelligence also identifies user preferences and adapts the training interface accordingly, whether in terms of text size, contrast or data organisation.

In short, AI improves the overall experience for all learners, whatever their level.

Artificial intelligence and training: which tools should you use?

Companies or organisations with fewer tools will tend to turn to ChatGPT, via OpenAI (which also offers free packages). This well-known application is clearly an invaluable aid for writing your content, provided you have mastered the art of prompts.

However, you'll soon be limited in what you can do, as it is primarily a text generation tool.

To go further in exploiting AI, training professionals prefer to turn to a Learning Management System(LMS), software specifically developed to distribute and manage learning paths.

More specifically, these platforms centralise all e-learning-related activities, from course design to progress assessment and learner management.

LMSs are becoming increasingly sophisticated, incorporating artificial intelligence, and most of them are capable of responding to the various challenges mentioned above.

🛠️ This is the case, for example, with 360Learning. Aimed at SMEs and large companies, this comprehensive and powerful Learning Management System enables you to rapidly develop and deliver truly engaging training courses. Thanks to AI, you can co-create your modules in just a few minutes, even if you have no experience in the field. At the same time, 360Learning exploits the potential of artificial intelligence to provide learners with tailored content and real-time skills data.

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🤓 To learn more about this software, read our article dedicated to the LMS platform.

Table: examples of the 7 best LMS software to make it easier to train your teams.

What role can trainers now play?

As is the case in many sectors, the development of artificial intelligence in training is leading to a profound transformation of professions. While some trainers are concerned about this new reality, their role is not disappearing - it is being redefined.

Indeed, as AI automates some of the teaching tasks, it frees up time for higher added-value activities. The trainer is no longer just a transmitter of knowledge, but becomes a strategic coach, capable of guiding learners along flexible paths, adapted to their needs. Their role becomes more focused on :

• fostering collective intelligence
• stimulating critical thinking ;
• providing human support.

In addition, the increasing use of digital tools requires new skills (understanding how algorithms work, interpreting data from platforms, etc.).

All in all, far from being replaced, the profession is evolving within an increasingly intelligent, agile learning ecosystem focused on the user experience.

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What can we learn from artificial intelligence and training?

AI in training is succeeding in establishing a new paradigm that is highly advantageous for businesses: learners are acquiring knowledge that is genuinely relevant to their skills development, in less time than before.

This technology is becoming an integral part of e-learning, and those who don't jump on the bandwagon risk being left behind. We discuss the subject of AI applied to training in detail with Nick from 360learning here.

But to make the most of the benefits of artificial intelligence, it is best to use tools developed in line with the priority issues of professional training, in particular LMSs.

However, the human element still has and will continue to have a role to play in e-learning, because every technology has its own limitations. Instead, think of AI as the co-pilot of your training, helping you to progress more quickly on certain tasks, for the benefit of the learner experience and your strategy.