The rise of adaptive learning: a revolution in learning
Adaptive learning has become a major trend in the field of vocational training. Its origin dates back to the 1970s, but it is in recent years with the rise of digital learning technologies that this approach has really taken off.
The rapid development of automation, big data and more recently artificial intelligence has enabled adaptive learning to gain in efficiency and relevance, but also in accessibility, thus offering an innovative solution to meet the growing needs in personalized learning.
But what is adaptive learning?
Adaptive learning is a teaching method that relies on the personalization of learning paths according to individual needs, skills and preferences.
Unlike traditional methods where all learners follow the same curriculum, adaptive learning adapts content and exercises to provide a tailored learning experience and allow everyone to learn at their own pace, while targeting gaps.
The key principles of adaptive learning are:
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Individualization: each learner benefits from a personalized course, adapted to his level and his objectives.
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Measure: data on learners' performance and behavior is continuously collected and analyzed to adjust the program.
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Adaptation: the content and the exercises evolve according to the progress and the needs of each individual.
Advantages and limits of adaptive learning
The advantages of adaptive learning are numerous:
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A more effective training thanks to the personalization of content and exercises. Knowledge and skills are therefore better assimilated by learners.
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A better motivation: learners feel involved and supported throughout the process.
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And time saving for trainers who can focus on supporting learners rather than on course management.
However, adaptive learning also has some limitations:
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The need to have a powerful and reliable digital learning tool allowing both to deploy digital training courses while offering advanced adaptive learning features.
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A significant investment upstream of the training on the part of the trainer who will have to adapt the teaching aids and configure the adaptive learning mechanisms.
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The risk of losing some important aspects of teaching, such as empathy and emotional support, by going “all digital”.
The impact of adaptive learning on organizations
The implementation of adaptive learning in organizations can significantly improve the quality and effectiveness of training.
By providing a personalized learning experience, employees are more motivated and engaged, resulting in better skill acquisition and a positive impact on overall performance.
In addition, training managers can follow the progress of learners in real time and adapt their teaching strategy accordingly.
Adaptive learning has the potential to profoundly transform training and education by offering an approach centered on the needs of each individual while relying on digital and automated tools. Artificial intelligence, for its part, offers promising prospects for simplifying the implementation of adaptive learning.
Adaptive learning with ExperQuiz
ExperQuiz makes it possible to deploy advanced and highly customizable adaptive learning paths.
Thanks to the “Consequences” functionality, trainers can define the actions and steps that will be proposed to learners according to the activity and the results.
ExperQuiz also allows you to go further by combining adaptive learning and micro learning to allow learners to assimilate the knowledge acquired during training on a long-term basis.