Sign up to get full access to all our latest content, research, and network for everything L&D.

Harnessing AI to Build Personalized Learning Journeys

Add bookmark
Megan Kashtan
Megan Kashtan
11/21/2024

Harnessing AI to Build Personalized Learning Journeys

One of the most widely discussed aspects of the L&D AI revolution is personalized learning. There are numerous specific methods through which AI is helping learning leaders forge new ground in this space. This article delves into how, specifically, L&D professionals are harnessing AI to provide the unique learning experience that each employee needs.

 

Data-Driven Insights

AI tools can be leveraged to collect and analyze data around skills and performance metrics, learning preferences, and learner engagement. It can be used not only to identify current performance and skill gaps, but also to predict when they may become an issue in the future. Additionally, AI can provide concrete statistics on learner engagement and identify areas for improvement.

 

Adaptive Learning Paths

Many learning content platforms aggregate and analyze past user patterns on learning platforms and recommend specific courses or next steps based on the employee’s interests, career goals, and performance on quizzes and assessments.

 

AI-Driven Simulations

Cutting-edge AI-driven learning solutions provide opportunities for users to learn through customized AI-driven roleplay scenarios. For example, a customer service representative can engage with an AI bot simulating customer interactions, allowing each user to refine their responses and address individual areas for improvement.

 

Content Creation

Instructional designers can use AI to create more content on a larger scale, meaning employees have more options to choose from to suit their learning preferences. Natural Language Processing (NLP), the subset of AI that can understand and generate human language, provides the option to build custom content instantaneously.

 

Continuous Feedback

AI tools are able to continuously analyze assessment results and engagement, giving the learner a clear understanding of their progress. This allows individuals to see their current skill levels, identify areas for improvement, and focus their efforts where they are needed most, ensuring a more targeted and effective learning experience.

 

To learn more about how L&D leaders are taking steps to develop personalized learning programs with AI, attend our session, “Customizing Learning Paths with Artificial Intelligence,” at the CLN Learning Conference and Expo, happening April 14-16th in Los Angeles, CA.

 


RECOMMENDED