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UX design

UX design in learning: combining substance and form

For years now, digital has been firmly rooted in our lives. For us end users, interfaces are its ultimate embodiment. As users’ digital gateway to communicate with the program they are using, interfaces have imposed their codes but, over time, they have also had to adapt to user requirements. UX design covers concepts of ergonomics and usability. This domain aims to think services by placing the user at the heart of the reflection, thus increasing their involvement when browsing a software.

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RGPD

What the GDPR changed 2 years after coming into force

Two years ago, on May 25, 2018, the General Data Protection Regulation (GDPR) came into force. This is an opportunity for us to focus on this text which aims to change the habits of digital players, while the issues surrounding the protection and processing of personal data are set to become even more important.

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adaptive learning

How companies have got to grips with Adaptive Learning technologies

Adaptive learning technologies have been around for a while now. With a first appearance at the end of the 2000s, higher education was the first to benefit from it with very successful use cases. For several years, companies have also got to grips with adaptive learning to individualize learning with a skills-based approach. Let’s take a look back at the evolution of this key technology.

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AI

Introduction to AI #3: technical approach

Artificial Intelligence (AI) raises many questions. And for a good reason: it is an extremely broad area for which there are many definitions and which disrupts many aspects of society.

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the explosion of AI

Introduction to AI #2: the explosion

Artificial Intelligence (AI) raises many questions. And for a good reason: it is an extremely broad area for which there are many definitions and which disrupts many aspects of society.+

smart data in learning & development market

How artificial intelligence has entered the Learning & Development market

The use of artificial intelligence (AI) in Learning & Development (L&D) is a matter of debate as some do not see the potential of “Big Data” in this field: the data is abundant but sometimes hard to collect and rarely qualified. Then, why not talk about “Smart Data” instead?

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