“Bad adaptive learning, well you have the learner, he connects, he advances... while the good adaptive, the learner connects, he advances, but it's good adaptive.”
Many will have recognized the nod to the famous skit The Unknowns, passed through the adaptive learning mill. Offered by a plethora of digital solutions, this pedagogical approach is supposed to provide numerous benefits to both the trainer and the learner, and many players in digital learning are taking advantage of it. On the surface, they all look the same, but the reality is very different. And making the distinction between good and bad Adaptive Learning is not that easy, hence our reference to the famous hunters of the humorous trio. And besides, talking about “good” and “bad” sounds a bit too manichean. Instead, it is mainly pedagogical approaches that work better than others, according to the needs of the learner, the learning context, as well as the objectives and the pedagogical bias of the training manager. Here are a few tips to help you see more clearly and what we think can make a difference!
What are the pitfalls likely to lead you right to Adaptive Learning... Not that suitable?
Notice to trainers, training managers or teachers: you are all doingAdaptive Learning during face-to-face training, your way. You are constantly trying to adapt your courses to the needs of your learners. However, we are not going to hide it, in the e-learning world, there may be a few mistakes with certain adaptive learning systems... Or with everyone's educational choices (that happens, Wrong human is).
The pervasive obsession with commitment would tend to make us forget the purpose of the training: to assimilate new information, to deepen our knowledge, to strengthen our skills... Would we pass the essential by the wayside? If you don't try to understand how your learning content affects your learners, you won't be able to generate the right Adaptive Learning course. Commitment is good. Commitment to results is better.
In particular, poor adaptive learning includes:
The objective of Adaptive Learning is to provide real added value in terms of educational effectiveness. The commitment of your learner is simply the consequence. In fact, a good adaptive learning experience must allow for concrete learning, the benefits of which must be felt by the learner from the start of the training.
So we find in The right adaptive learning :
As a result, the learner benefits from a personalized, useful and enjoyable experience, which arouses motivation and interest: the more engaged they are, the more satisfactory they understand and succeed in the exercises, in order to have a truly enhanced and qualitative learning experience.
Didask's pedagogical approach is to rely on research from cognitive science, who was able to demonstrate what was effective for learning: the adaptive learning experience approach is addressed in a clear and simple way, in particular with regard to the personalization criteria to be taken into account in order to build tailor-made experiences. Your learners know where they are going, where they come from, and the reason why they approach this or that concept during a training course designed for them. No hustle and bustle, only pedagogy!
With Didask, the Relevant practical cases echo the dilemmas that confront your learners on a daily basis, always accompanied by Feedback appropriate and personalized. Moreover, the refinement and relevance of Didask practical cases allow your learners, from the beginning of a training course, to quickly establish a parallel with the daily situations they experience in the field, which allows them to understand the usefulness of such an approach. Learners are progressing and feeling it: in the end, this is what creates a lasting and long-term commitment!
Moreover, the future is promising and 2024 promises its share of considerable progress in terms of “good” adaptive learning. Educational artificial intelligence arrived in 2023 at Didask, and which already allows modules to be created automatically in a few minutes, will integrate personalized assistant functionalities that can interact with each learner on a tailor-made basis.
Prenez directement rendez-vous avec nos experts du eLearning pour une démo ou tout simplement davantage d'informations.
Best practices
Best practices
Best practices