AI in online training systems to personalize learning

Nowadays experiencing rapid growth, theartificial intelligence, or AI, has managed to revolutionize many areas. Online learning, also called e-learning or electronic learning, is one of them. In this specific area, this technological artifact allows students to access courses adapted to their profile, that is to say personalized and scalable.

Introduction to AI and online training systems

As experts in the field point out, artificial intelligence is a revolutionary technological invention. It relates to a set of concepts, techniques, practices and technologies allowing the creation of machines capable of simulating human intelligence. In other words, it aims to recreate a technological equivalent to human intelligence by means of computer science, psychology and neurology.

However, this sector is very specialized and requires specific diplomas. For receive training in this area, it is possible to go through a school specializing in artificial intelligence and in the Big Data. At the end of a complete course, students have the choice between two major positions: data scientist or data analyst.

You should know that AI was born during the 1940s – 1960s, particularly in the wake of cybernetics. Today, it is increasingly transforming all economic sectors and establishing itself as a true creator of values. AI is mainly used in industry 4.0, also called “industry of tomorrow”, in the field of health, in the environmental field as well as in commerce. The world of learning is not left out: artificial intelligence has revolutionized online training systems.
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We also cite the LCMS (for Learning Content Management System) which aims as well instructional designers than businesses. It is designed and developed to significantly facilitate the creation of training modules and to make it as intuitive as possible. We can add administration, hosting, centralization and monitoring of the courses created. The LCMS thus brings together everything that designers need to achieve this.

Beyond these systems, we find the TMS (for Training Management System) and the LEP-LXP (for Learning Engagement Platform — Learning Experience Platform). The first allows management and control from A to Z training plans while the second promotes collaborative learning as well as learner engagement.

AI training artificial intelligence school

How can artificial intelligence be used to personalize student learning?

If artificial intelligence and data have managed to revolutionize the field of e-learning, this is particularly because of an emerging concept that is adaptive learning. The latter uses computer programs based on AI to organize media and resources in an optimized manner. Its goal is to offer an individualized, personalized and scalable learning experience.

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Clearly, a learning system that uses this educational approach only offers learners what is directly useful to them. It does not impose a specific program on them, but several so that they can identify the one that suits them best.

He ensures that training courses, the content and teaching methods automatically adjust to the profile of the trainees as well as their abilities, their expectations and their real needs. An adaptive learning platform is able to adjust its training in real time so that students learn differently and each have their own learning pace. Note that to offer a satisfactory degree of personalization and ultimately bring out individualized suggestions for learning modules, this type of software relies on an alliance between:

  • the data, that is to say all data relating to learners collected before the training and throughout it,
  • cognitive sciences or neuroscience which allow a better understanding of how the brain functions in learning situations,
  • machine learning, an AI technology that automatically processes and analyzes data to then make predictions in real time.

There are two levels of adaptive learning, namely the micro level and the macro level. In the first case, the AI ​​analyzes the progress and difficulties of the students and then offers them the most suitable exercises. It also considers their appetite based on their attendance and types of exercises. In this case, its objective is to reduce the risk of disengagement.

Thanks to its algorithms, each student benefits from training that takes into account their rate of progress. In the second case, artificial intelligence adjusts training courses as the trainees progress. Each module therefore appears when they really need it, depending on their speed of assimilation and their results. However, the content offered as part of macro learning is the same for all students.

online training learning course

The Benefits of Personalized Learning for Students

It is clear that personalized and scalable learning is more effective than standardized training. This is why it is increasingly popular with companies that want to permanently strengthen their human capital. Thanks to adaptive learning, each student only learns what is truly useful to them, and at their own pace. He can therefore progress more quickly, since he will no longer have to deal with superfluous content.

Personalized training also represents a powerful motivation lever while significantly improving the learning experience. Likewise, it creates a certain engagement and therefore increases the interest of learners.

Adaptive learning also guarantees a retention rate increased. It provides students with everything they need to fully master the concepts taught. This of course translates into excellent results.