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The future of e-learning is adaptive

Adaptive learning enables learners to learn more and complete courses faster as the adaptive algorithm adapts the courses to their needs and capabilities.

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  • What is adaptive learning technology

    Adaptive learning technology is an advanced type of e-learning.

    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.
  • How does it work?

    Adaptive learning offers an entirely new approach to learning.

    It utilises insights from biology as well as computer science. The learner’s study material will be tailored to each person’s specific needs and competences based on data.

    The adaptive algorithm learns like a virus
    Adaptive learning uses biological models that mimic the way viruses behave in nature, evolving moment-by-moment using trial and error as their environment changes.

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