Five AI-Based Technologies That Enhance Personalized Learning for Employees

Personalized learning technologies have gained traction in the corporate world, and with the recent advances in AI, the potential for these technologies is even greater. Personalized learning refers to delivering the right learning content to the right person, at the right time.

This approach can help employees learn at their own pace and focus on areas where they need the most help. It can benefit both employees and organizations via improved engagement and motivation, higher retention rates, faster learning, improved performance, and increased flexibility.

Some of the key AI-based technologies used to personalize corporate learning include recommendation engines, personalized learning paths, AI-powered coaching, adaptive learning systems, and AI co-pilots.

Recommendation engines are a type of technology that uses AI to provide employees with personalized recommendations for learning content and resources. These engines use algorithms to analyze employee data and recommend resources that are most relevant to their needs. This technology can help employees find the resources they need to improve their skills and knowledge.

• Benefits: Recommendation engines can help employees find resources that they might not have found on their own.
• Limitations: It can be difficult to ensure that the recommendations are accurate.
• Examples: LinkedIn Learning, Docebo, Torch, Cornerstone

Personalized learning paths are a type of learning technology that provides employees with customized learning paths based on their individual needs and goals. These paths can include a variety of learning resources, such as videos, articles, quizzes, or on-the-job learning assignments. This technology can help employees learn at an optimal pace and focus on areas where they need the most help.

• Benefits: They are highly targeted to the knowledge and skills that employees need most.
• Limitations: Validating the effectiveness requires a sophisticated analysis.
• Examples: Joyntly, Disprz

AI-powered coaching is a personalized learning technology that uses AI to provide employees with customized feedback and guidance. This technology can help employees identify areas where they need to improve and provide them with targeted resources to help them achieve their goals.

• Benefits: It can provide employees with real-time guidance, which can help them make immediate improvements.
• Limitations: It can be expensive to develop and implement.
• Examples: BetterUp, Skillsoft

Adaptive learning systems are another type of personalized learning technology that use AI to provide employees with customized learning experiences. These systems use algorithms to analyze employee learning data and adjust the learning experience accordingly. This technology is designed to help employees spend less time on content that they have already mastered, and more time on content that they still need to learn.

• Benefits: They can help employees learn more efficiently.
• Limitations: They require significant resources and subject matter expertise to develop.
• Examples: SHRM’s Learning System, EdApp’s Brain Boost

An AI co-pilot for managers or leaders is an AI-powered tool that helps managers improve their leadership skills and decision-making abilities. It provides personalized coaching, assessments, and learning resources to help managers develop their skills and capabilities.

• Benefits: A co-pilot can help managers or leaders learn how to address challenges or receive feedback in real-time.
• Limitations: Co-pilots analyze learner data and behaviors to make suggestions, so data security and privacy must be carefully managed.
• Examples: Waggle, Risely

In short, personalized learning technologies have the potential to alter the landscape of corporate learning. While each of these technologies has its own benefits and limitations, expect that near-term advances in AI will make each of these easier to implement, such that the remaining limitations to consider will be accuracy, effectiveness, and data security.