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Adapt learning experiences to your team's needs with an LXP
August 7, 2023
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The learning and development industry has seen huge changes in the last few years thanks to trends like Big Data. Big Data allows training managers to identify behaviors based on learning styles and use them to personalize the learning experience.
That’s where adaptive learning comes in. If you want to know more about adaptive learning and the advantages of incorporating it into your training plan, keep reading.
Adaptive learning is a training method that focuses on the individual needs and preferences of each student to boost the results of their training.
This model utilizes data generated from a student’s interaction with their learning platform to provide personalized training plans designed with their needs in mind.
Below are some of the conditions a learning program must meet in order to be considered adaptive:
To make adaptive learning truly effective, it is essential to measure it and identify areas for improvement. This requires e-learning platforms that provide data on employee interests, activities, and progress.
Adaptive learning enhances the training experience by making it more relevant to employees, but its benefits don’t end there. Adaptive learning can also:
By providing content that truly matters to them, employees are more motivated to participate in training and retain the knowledge provided. After all, everyone enjoys learning in a way that considers their individual needs.
Employees only really need to learn what is relevant to their daily tasks and professional development. By focusing on relevant content, employees are given more autonomy in the training process which has knock-on effects for productivity.
Adaptive learning allows employees to reduce the time they spend on completing a course, freeing up valuable time for other tasks.
These are just some of the benefits driving more and more companies to implement this form of learning. In fact, the adoption rate of adaptive learning is expected to grow by 22% by 2028.
Before putting an adaptive learning plan into motion, it’s important to evaluate the current skills and competencies of your employees and identify areas for improvement.
With your analysis done, it’s time to choose the adaptive learning model based on the type of training you want to implement:
Next, consider these learning models to apply to your adaptive learning:
You also need to choose a platform for delivering your adaptive learning program. Today’s online training platforms go far beyond traditional Learning Management Systems (LMS). Now they offer more modern and intuitive interfaces that mimic the user experience of streaming platforms like Netflix, Amazon Prime, or HBO, presenting information in a much more dynamic way.
In addition, thanks to their machine-learning and artificial intelligence features, they provide access to your training content based on the needs and interests of your users. Want to know more? Discover isEazy LMS and create a unique learning experience for your employees.
Adaptive learning is a training method that adjusts to the individual needs and preferences of each learner. It uses large amounts of data to offer a personalized learning plan, optimizing training outcomes.
First, it’s essential to conduct a skills assessment of employees. Then, choose between approaches like macro or micro adaptive learning and select an e-learning platform that supports this method. For example, solutions like isEazy LMS can help you create a highly personalized learning experience.
Macro adaptive learning personalizes the order of modules and allows employees to skip content based on their needs, ideal for larger courses. On the other hand, micro adaptive learning tailors content at an individual level, focusing on specific skills with a high degree of personalization.
Adaptive learning is expected to grow by 22% by 2028 due to its numerous benefits, such as offering a more effective and personalized learning experience that better meets corporate training needs.
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