Training that drives impact: why choose Macro Adaptive Learning

Professional training continues to evolve, embracing the new codes of hybrid learning and personalized learning experiences. The goal: adapt in real time to each learner’s profile and behavior to ensure success. Adaptive Learning relies on educational artificial intelligence to create innovative, impactful learning experiences, tailored to every individual. 

But how can you personalize the learning journey based on learners’ prior knowledge? In this article, discover Macro Adaptive Learning technology.

Adaptive Learning relies on embedded algorithms that analyze every learner interaction with training content in real time. Time spent, question difficulty, mastery level, and many other data points define a unique learning path for every participant. 

There are two types of Adaptive Learning: Micro Adaptive Learning and Macro Adaptive Learning. While Micro Adaptive Learning applies to the level of a single module, Macro Adaptive Learning focuses on the entire training journey. 

Depending on the platform, the time needed to create a module or a complete training path can vary by a factor of up to 8 for equivalent value, an important difference to consider.

Like Micro Adaptive Learning, Macro Adaptive Learning is powered by machine learning technology. Its goal: to personalize the training journey based on each learner’s knowledge, adapting as closely as possible to their learning needs. 

As part of a Macro Adaptive Learning experience, learners systematically complete a self-assessment to determine where they stand on the learning curve for target skills. This test may take different forms, quizzes, interactive games, and more. Based on mastery level, the training journey is refined: only the modules truly relevant to the learner are proposed.

Save time 

Unlike linear training, macro-adaptive systems are designed to match the learner’s profile. While the company’s expectations remain the same at the end of training, the time spent and the path taken differ from person to person. This optimization benefits both the business and the learner. 

Training shifts from an obligation of means to an obligation of results: investing just the right amount of personal time to achieve collective objectives. In a fast-paced workplace, it also allows employees to regain control of their time. And that’s a crucial step toward bringing enjoyment back to the learning experience. 

Boost completion rates 

86% of learners never complete linear training programs, with boredom being the main reason for dropouts. The technological innovation of Adaptive Learning changes how professional training is perceived. Once seen as rigid or irrelevant, training becomes individualized, turning the learner into an active participant in their journey. 

Through an adaptive path, every interaction is captured and analyzed by an AI-driven learning engine that continuously improves. In real time, it selects the most relevant course or learning game to keep learners engaged throughout the entire program. 

Redefine the learner–trainer relationship 

The hybrid approach enabled by Macro Adaptive Learning optimizes theoretical knowledge through e-learning while enhancing the value of the trainer’s expertise during practice-based workshops. The trainer takes on a new role: that of coach. They support employees as closely as possible to their operational needs and help them grow. 

The result: trainers’ knowledge transfer is better recognized, and learners benefit from stronger knowledge retention.