How it works

The latest technologies entering the learning and development (L&D) space are generating attention due to their potential to transform how learning is delivered to best meet individual needs. They move beyond the traditional learning management system (LMS), which is viewed as limited and inflexible. Artificial Intelligence/Machine Learning and Augmented/Virtual Reality are the two significant types of technology that have emerged. While requiring expertise to design and implement them may be outside traditional L&D capabilities, vendors are often relied upon to create and support the use of these capabilities for use in L&D applications:

• Artificial intelligence (AI) “leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.” Machine Learning (ML) is a branch of artificial intelligence that is defined as “a method of data analysis that automates analytical model building. It is based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention”. The technology is utilized within many learning platforms as a mechanism to provide a more personalized or tailored experience, offering suggestions, altering learning paths during programs, and supporting administrators with development tools, insights, integrations with content platforms and external content, and content curation capabilities.
  
  
• Augmented Reality (AR) and Virtual Reality (VR) constitute "virtual technologies that either enhance or replace a real-life environment with a simulated one." AR applications augment the user's surroundings by adding digital elements to a live view, such as images or data that would provide complementary information about the real world. With VR, the learner is completely immersed in an experience that replaces a real-life environment with a fully simulated virtual world.
  
  

Numerous applications of these technologies are showing great potential. Among the most powerful include the integration of AI into learning experience platforms (LXP), which offers a better learning pathway powered by individual interests, stated skills development requirements, and (stated or inferred) interests based on user search and learning history.