Artificial intelligence in learning and development. Personalizing the employee learning experience

Artificial intelligence (AI) in learning and development is already finding many applications, such as providing learning recommendations, curating content, and improving analytics. In the future, we can expect to see increased adoption and experimentation with AI in learning, given the advances in generative AI technologies.

In this article, we'll explore four ways AI is already changing the employee learning process and offer an action plan for implementing AI in learning and development.

The current state of AI in learning and development

The learning and development function has been a pioneer in the adoption of AI in HR. Over the past few years, the market for online learning platforms has grown exponentially, and projected investment in the AI education market is expected to grow at a compound annual growth rate of 36% to reach $32.27 billion by 2030.

AI has made a significant contribution to the development of learning management systems, learning platforms, and learning analytics.

However, the implementation of AI has not been without its challenges. First, the technology underlying AI is not yet mature enough for widespread use. In addition, L&D teams lack the maturity to effectively integrate AI into their work.

Issues such as bias, intellectual property rights, and the complexity of combining AI with different learning platforms also slow down the use of AI in learning and development.

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AI has been criticized because its implementation largely benefits those who create learning content, with less attention paid to learners and their experience. Despite all the promises of personalized learning, AI has not yet realized its full potential.

These limitations are beginning to fade, especially thanks to the new capabilities of generative AI. The key focus on not only the process and management of learning and development, but also its actual application in the learning process, is beginning to usher in a new era of AI-powered learning.

Let's take a look at how AI has impacted the employee learning experience.

1. Generative AI makes learning accessible to everyone

Accessibility in learning has always been a critical issue, especially when it comes to the needs of neurodivergent employees (a term that refers to when someone's brain processes, learns, and/or behaves differently than what is considered “typical”).

Standards such as the W3C Accessibility Guidelines (WACG) offer principles for making training perceivable, operable, understandable, and robust (POUR) to meet the needs of diverse users. In the past, achieving these standards has been a challenge for training providers.

Efforts to convert content into different formats, color schemes, and languages to meet different learning needs were costly and often resulted in many employees being unable to participate in online learning.

With recent advances in artificial intelligence, providers can address these issues more cost-effectively. A good example is Braille translation software, which converts text into Braille and makes it accessible to visually impaired students. As with any other AI, challenges remain in this area, but significant progress is being made in making learning content accessible to all employees within an organization.

2. AI makes learning personalized and controllable

Given the daily volume of new learning content, the biggest challenge for learners is often determining which content is applicable and relevant to their specific needs.

Although AI has been used in the past to suggest and recommend learning content, recent advances have significantly improved its accuracy. Today, AI uses a variety of data sources, such as assessment data, learner interests, career goals, and past learning experiences, to offer personalized learning.

A good example is Capgemini's use of Anderson Pink technology for content curation and personalized learning based on skills. Quuu, UpContent, and Scoop.it are good examples of content curation tools that help you browse publicly available content on a specific topic and incorporate key areas into your organization's learning strategy.