Adaptive Learning or Adaptive Training: Definition
Adaptive training, commonly referred to as adaptive learning, Allows you toindividualize training automatically so that each learner is trained at their own pace and in their own way.
One LXP is an online learning platform that focuses primarily onlearner experience, whence its name Learning Experience Platform. It thus integrates functionalities that will boost the effectiveness of training courses. To do this, the platform relies on the data and artificial intelligence to offer tailor-made distance learning that is largely managed by the learner himself.
The employee thus benefits from a interactive learning and a career that evolves according to the needs detected during the training and the skills that he acquires as he progresses.
Offer multimodal training courses to employees with the LXP
Adaptive training or theAdaptive learning can be deployed at different scales depending on the use cases, both for a module (we then speak of Micro-adaptive Learning) than a complete multimodal journey (Macro-adaptive Learning).
The implementation of the adaptive learning method will be decided by the LXP AI after an initial evaluation of the learner and the definition by the learner of the objectives he wishes to achieve (by means of an interest form for example). Educational AI will then build a complete training course adapted to the needs of the learner and which will evolve as they progress.
What should not be forgotten in this use case
- Suggest an evaluation questionnaire to be completed before starting the training
- Define with the Digital Learning Manager the goals of the learner.
Create adaptive training modules quickly with LXP
Creating adaptive training modules this way is generally faster than using author tools classics thanks to automation technologies.
Les LXP platforms in fact, make it possible to create a large quantity of interactive screens assigned to specific modules, all in a fully automated manner.
By using an LXP platform coupled with adaptive training, you will be able to create up to 9 times more modules over the same period with the same effort.
What should not be forgotten in this use case
- Choosing the most appropriate LXP solution by creating modules quickly
- Define learners' needs
- Divide the different modules and choose interactive content
Analyzing the effectiveness of adaptive training
The LXP is based on adaptive training and increases the rate of completion of training courses but especially the Mastery rate of a given subject at a given moment. Each learner can reach their goals 100% by working at their own pace and where they want thanks to mobile learning.
To achieve this, the platform will offer the user to review the elements they least master and the course points that are not validated on a regular basis and until the targeted skills are fully acquired.
For the digital learning manager, the follow-up of training courses is simplified and he can check whether the skills have been acquired and what the blocking points are.
What should not be forgotten in this use case
- Indicate the skills to be acquired before the course
- Monitor learners' progress on the platform to determine possible bottlenecks
- Conduct regular check-ins with learners, possibly put in place a strategy for Blended Learning.
