The future of e-learning is adaptive

The term adaptive learning refers to a  technology capable of evaluating the student’s skills, knowledge, and confidence levels. The technology constantly assesses how the student responds to the material. That way, the student’s learning material becomes much more targeted since subjects are filtered out that do not require more attention, leaving more time to focus on weaker areas. 

The personalised course is a much more tailor-made learning experience compared to traditional e-learning, which, in the end, will enable students to achieve the desired goals faster and more efficiently.

Benefits of adaptive learning
Before diving into basic concepts around adaptive learning, here is a quick overview of the key benefits compared to traditional e-learning or classroom training:

• It cuts training time in half
• Provides higher proficiency 
• Provides higher retention due to intelligently spaced repetitions
• Uncovers and fixes unconscious incompetence
• Improves engagement and reduces frustration
• Rich learning analytics 
• Supports instructor with data to focus efforts – ideal for blended programmes
• It helps guide learners’ learning.

AI adaptive learning identifies the optimal sequence of topics and modules for each learner based on their existing knowledge and goals. This minimizes redundancy and allows workers to progress at their own pace, increasing engagement and motivation.
 
Through the use of AI-powered adaptive learning software, the courses will automatically adapt the content, pace, and assessments to optimize knowledge retention and engagement. Adaptive learning technology enables learners to progress at their own pace, focusing on areas that require more attention while moving quickly through familiar concepts. By leveraging data analytics and machine learning algorithms, the system continually adjusts the curriculum, instructional materials, and assessments to meet the unique needs and learning styles of each participant.
 
This personalized approach not only enhances the learning experience but also improves knowledge retention and application. This data helps us tailor the content and delivery methods to optimize their learning experience. Adaptive learning reduces a significant portion of the classroom theory time, allowing trainers and employees to focus on “hands-on” training at facility/site locations. This provides for a more targeted use of instructors for practical exercises. The adaptive learning technology is grounded in scientific research and twenty-five years’ experience; serving over 30 million learners across hundreds of subject areas, gathering billions of data points.

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