📌 A common issue: the lack of individualization
In traditional e-learning courses, content is designed to appeal to a broad audience. The issue? It often lacks customization. As a result, learners struggle to make the connection between what they read and what they experience in their daily lives. They understand the broad outlines, but are not always able to apply them in practice.
However, cognitive science research has shown that beyond the intention to act, a key element in changing our practices is the ability to project ourselves concretely into the situations where we will need to use them, as well as into the challenges we may encounter (Oettingen, 2014).
By definition, the more vague or disconnected from reality the training is, the less this projection is possible. And therefore, the less sustainable the learning is.
🧠 Our solution: an assistant tailored to each learner
To overcome this challenge, Didask offers an intelligent learning assistant, integrated directly into the training courses.
Its mission? To support each learner throughout their journey, adapting to their needs, context, and difficulties.
At any point during the training course, the assistant can:
rephrase a concept
help set clear progress goals
answer a clarification question
provide a concrete example related to the learner's profession or challenges
🧪 A concrete use case: an assistant at every stage of learning
🎯 Lucas is a B2B sales representative. He is taking a training course on negotiation, with the aim of better managing his interactions with demanding customers.
At the beginning of the training, Lucas stumbles over a theoretical distinction: he does not fully understand the difference between distributive negotiation and integrative negotiation. He asks the assistant, who provides him with a clear explanation, illustrated with an example relevant to his industry. Lucas leaves with a better understanding, without losing track of the training module.
Later in the course, one concept catches his attention: how to identify the customer's real needs beyond the objections expressed. He finds it difficult to imagine how this would apply in his meetings. The assistant then offers him an example similar to his current practices and helps him define a concrete implementation goal for his next field visit.
At the end of the training, the assistant presents Lucas with a scenario in which he must respond to a series of objections from a fictional customer. For each response, he receives targeted feedback, which helps him adjust his approach before going out into the field.
👉 At each stage, Lucas remains active, engaged, and supported in his efforts. He doesn't just sit through his training: he projects himself into it, he practices, and he comes out of it more ready to take action.
✅ Expected benefits
Integrating the Didask learning assistant into your training courses allows you to:
Promote learner engagement by responding to their specific needs at the right time
Reinforce understanding through rephrasing and concrete examples tailored to each role
Support practical application by facilitating projection into realistic situations
Offer constructive feedback without exposing the learner to real failure
Accelerate skill development, even on short or asynchronous courses
🛠 How to activate the assistant on your training courses?
The Didask learning assistant is ready to use! To activate it on your existing modules or create new ones, you can follow the guide below:
Keywords: Didask AI, learning assistant, AI
Need Assistance? If you have any questions or need support, our team is available via chat/messenger. 💬