Feedback in the age of educational AI
At a time when artificial intelligence (AI) is redrawing the contours of many sectors, e-learning is positioned as a fertile ground for major educational innovations. For managers, HR decision-makers or training managers, understanding and integrating these advances is essential to remain competitive. Among these innovations, The principle of feedback, often considered to be a key piece in apprenticeship, takes on a new dimension thanks to AI.
For example, imagine a world where each learner receives ultra-personalized, immediate and relevant feedback, while feeling like they have a dedicated mentor 24/7. No, it's not science fiction, it's the reality of educational AI. By combining behavioral data with sophisticated algorithms and cognitive science recommendations, this technology offers Learning feedback on surgical precision.
This article aims to explore how AI is revolutionizing feedback in e-learning. We will discuss the importance of feedback in the learning process, its evolution through educational AI, and the significant benefits that this technology offers businesses. The era of intelligent feedback is here, and it promises to optimize your training strategies like never before.
It cannot be said enough, feedback is essential for learning, the essential ingredient that turns a simple activity into an opportunity for continuous improvement. For managers, HR decision-makers and training managers, understanding the importance of feedback is crucial to optimize training strategies. But what makes feedback so important?
Feedback, in simple terms, is the information returned to the learner regarding its performances. It can be formative (intended to improve skills during learning) or summative (assessing skills after a period of learning). Feedback can also be immediate or delayed, with each type having its pros and cons.
Imagine a tennis player learning a new move. If the coach waits until the end of the match to correct a bad technique, the player risks repeating his mistakes. On the other hand, an immediate correction allows for a quick and effective adjustment. This is exactly what immediate feedback in e-learning offers, a key element for the rapid development of skills.
Studies show that feedback is a powerful tool for learning. Cognitive science research reveals that feedback, especially when it is immediate and specific, allows learners to correct their mistakes quickly and better understand the concepts studied.
In our article on learning by trial and error, we explain how immediate feedback helps learners adjust their learning strategies in real time, improving learning effectiveness. For example, studies have shown that immediate feedback increases significantly. knowledge retention compared to delayed feedback, because it allows mistakes to be corrected before they become habits.
At Didask, we incorporate these principles into our LMS to provide optimal learning experiences. Our cognitive researchers capitalize on the fact that accurate and personalized feedback not only increases knowledge retention but also reinforces Learner engagement. We have written a lot of articles on these topics that you will find in the category Cognitive science and pedagogy from our blog.
In a world where artificial intelligence (AI) is progressing by leaps and bounds, feedback, a central element of learning, is also necessarily evolving and so much the better! Let's try to understand how educational AI can turn feedback into an even more powerful and accurate tool.
Educational AI is the smart combination between artificial intelligence technology and cognitive science to improve learning. Therefore, not to be confused with the classical generative AIs that we all use frequently (we make the comparison in our article). AI & eLearning design: I compared ChatGPT and Didask... the verdict is final!). At Didask, we have thus developed an AI that analyzes learners' interactions with content and adapts feedback in real time. In a way, it's like having a personal coach who knows exactly what each learner needs to progress.
For a deeper dive into our educational AI, feel free to take a look at our dedicated page.
One of the biggest benefits of educational AI is its ability to personalize feedback. By analyzing learner data, AI can identify strengths and areas for improvement, providing tailored feedback. For example, an employee who is struggling with a new safety procedure will receive additional reminders and explanations until they are fully familiar with the subject.
Feedback can also take The form of mentoring, where AI acts as an interactive coach. This “AI coach” can interact directly with the learner, formulating benevolent and tailor-made corrective feedback. This provides a personalized and engaging learning experience that wasn't possible before AI.
To dive deeper into this question of the impact of AI on feedback, check out our article on personalized learning.
One of the major advantages of educational AI is also the speed and ease with which feedback can be generated and delivered. AI automates much of the process, making the task accessible to everyone. No need to spend hours analyzing learners' performance manually or training in educational engineering; AI does the work for you!
With this automation, designers save time and can focus on improving content and educational strategies rather than managing data. This promotes continuous optimization of training programs without additional effort.
As you will have understood, educational AI transforms feedback into an even more powerful and effective tool. Businesses can take advantage of these innovations to optimize their training strategies. By integrating an LMS equipped with AI like the LMS Didask, you benefit from an advanced solution that customizes and improves feedback for each learner.
For managers, HR decision-makers and training managers, integrating artificial intelligence (AI) into feedback processes does more than just improve individual learning. It also transforms the overall effectiveness of training strategies within the company. Here's how AI-assisted feedback can bring tangible benefits to your organization.
One of the main benefits of AI-assisted feedback is the optimization of training processes. Through real-time analysis of learner data, AI can identify the specific needs of each employee and adapt content accordingly. This not only makes it possible to identify gaps, but also to reinforce strengths, making training more effective and relevant.
As we said above, receiving quick and relevant feedback is a key motivator for employees. Didask's educational AI makes it possible to provide this feedback on an ongoing basis, which not only improves learner engagement but also their satisfaction. An employee who feels supported and valued is more likely to invest fully in his training, and therefore in his missions in which he will be more effective. This will result in well-being at work source of loyalty and commitment for the company.
AI not only provides feedback, it also makes it possible to better measure the impact of training in a precise manner. By collecting and analyzing detailed data, businesses can assess the effectiveness of their training programs and identify areas in need of improvement. This makes it easier an approach to continuous improvement, where training strategies are constantly optimized based on the results obtained.
At Didask, we offer advanced dashboards that allow training managers to easily visualize learners' progress, get recommendations for improvements using AI, and therefore make informed decisions to evolve your training programs.
Educational AI turns feedback into aAn even more powerful and effective tool. For managers, HR decision-makers and training managers, this evolution is an opportunity to maximize the impact of its e-learning systems and thus the skills of employees. By adopting a solution such as the Didask LMS, you benefit from advanced solutions that optimize training strategies and significantly improve results.
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To go further on the subject of AI in e-learning, I recommend our following articles:
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Cognitive sciences & pedagogy
Cognitive sciences & pedagogy
Cognitive sciences & pedagogy
