How To Teach Adaptive Learning Better Than Anyone Else

 

  Importance of Adaptive learning

 

The e-learning industry has overseen dramatic changes in the last decades, from the introduction of gamification, artificial intelligence, and blockchain technology to augmented and virtual reality. Yet the primary issue persists in how to deal with learners and retain their attention.

 

There are 3.32 billion people who are employed worldwide. Each employee may be different from one another. They might have distinct personalities, ethnicity, traits, competencies, skills, and work culture. As each employee is unique, organizations cannot adopt standardized e-learning programs. They need customized learning and training programs tailored to employees' learning needs. 

 

What is Adaptive Learning?

 

Adaptive learning is a methodology that most organizations integrate into their training programs that effectively address each employee's learning needs through assessments, feedback, and resources. In adaptive-based learning courses, all the learners will have the same starting point. Still, based on their decision-making skills and competency level, learners will go through only relevant learning paths they need to master rather than the whole course. In other words, Adaptive learning monitors and track's an employee's performance and modifies the learning experiences based on the feedback.

 

Importance of Adaptive Learning



  • Identifies knowledge gaps

 

Identifying knowledge gaps that can be a deterrent to achieving organizational goals is challenging. Through adaptive learning, organizations can quickly detect and identify skill gaps and design an action plan to bridge the gap within the workforce. 



  • Improves learner's engagement

Adaptive learning feeds only the relevant concerts that a learner needs to know rather than imparting the whole content, which significantly increases their motivation to complete the course and engages their attention.  




  • Creates unique learning experiences

Adaptive learning uses scientifically proven algorithms and methodologies to build customized learning experiences according to their knowledge level through assessments. It evaluates the learner's understanding of a particular topic and modifies the learning material accordingly so that the learner can master the topic they need to work on rather than wasting time going through the entire content.



  • Ideal for training diverse learners

 

As adaptive learning personalizes the learning experience according to the learner's needs, it can be used for training various diverse groups of learners, whether a learner is fresher, experienced, etc. 

 

 

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