AI as an instrument for digital training: 7 keys to understanding

Accueil » Blog » Trainers advice » AI as an instrument for digital training: 7 keys to understanding



Artificial intelligence (AI) has fundamentally transformed many sectors of activity, and digital training is no exception. AI has revolutionised the way in which we learn, by making training more accessible, more customised and more effective. In this article, we will explore the impact of AI on digital training and how it is revolutionising the learning process.

1. Learning customisation

AI offers greater learning customisation. Thanks to sophisticated algorithms, training platforms can analyse each learner’s desires and areas of progress, to create adapted learning pathways.
This customisation enables learners to progress at their own pace and to focus on the topics they most need to improve.
According to McKinsey, customisation can increase training effectiveness by 30 to 50%.
Companies use this approach to train their employees in a more targeted manner, thereby boosting productivity and satisfaction in the workplace.

2. Adaptive learning

Adaptive learning is another key application of AI in digital training. This method involves adjusting content based on the learner’s performances. If someone excels in a particular domain, AI can propose more advanced challenges, while those who are encountering difficulties will receive additional support.
According to a Gartner report published in October 2022, “Adaptive AI creates a superior and faster user experience by adapting to the shifting circumstances of the real world”, thereby promoting better engagement and a deeper understanding of subjects.

3. Assessment automation

AI can automatically assess learner progress. AI software can grade quizzes, homework and even assess complex projects. This saves instructors’ time and gives learners immediate feedback in order to enhance their learning.
The French National Institute for Statistical and Economic Studies [INSEE] reports that assessment automation can considerably cut training costs, particularly for large organisations.

4. Remote access and flexibility

AI has helped to make digital training more accessible than ever before. Learners can access online lessons anywhere, any time. This flexibility has become essential, particularly with the increase in remote working and the need for ongoing training.
Many companies on the market use AI to offer high-quality online courses, thereby providing access to education to a global audience. This trend was highlighted by McKinsey as a catalyst of growth of the online education market.

5. Predictive learning

AI can also be used to predict training requirements. By analysing data on past performances, the skills and objectives of employees, companies can anticipate future training needs.
This proactive approach can help organisations to prepare for technological changes and remain competitive by training staff appropriately.

6. Assistance for trainers

AI is not only beneficial for learners; it can also help to support trainers. By using intelligent chatbots for example, teachers can answer learners’ questions 24 hours a day. This frees up time for more meaningful interactions at any time.
Assistance for instructors using AI enhances the satisfaction of training managers and can help them to concentrate on more strategic tasks.

7. Data analysis and effectiveness assessment

AI offers an in-depth analysis of training data. By tracking learners’ progress, and assessing the effectiveness of lessons, organisations can constantly enhance their training programmes.

In conclusion, artificial intelligence makes a significant impact on digital training. Through AI, we can inch ever closer to a customised training model.
Taking learners’ needs into account, notably by analysing increasingly detailed data sets, offers learning which is more adapted to current interests as well as to future requirements, thanks to predictive learning. AI is revolutionising the way in which we learn.




Ergonomic Design for Impactful Digital Resources

Ergonomic Design for Impactful Digital Resources

Cognitive ergonomics, dedicated to optimizing human-machine interactions, enhances productivity in digital design. Thoughtful integration of visual aids and sound, following Mayer and Mousavi’s principles, improves comprehension and reduces cognitive load. Sequence, conciseness, and awareness of redundancy are crucial for maximizing the effectiveness of digital resources.