AI-Powered Immersive Training for L&D
Source: xrtoday.com
The Potential of AI in Immersive Training
Traditional corporate training faces challenges such as being static and inflexible, often failing to adapt to workplace changes. With a significant portion of the global workforce needing reskilling, current training strategies may be outdated. AI in immersive training presents a potential solution.
Immersive learning experiences like metaverse training, VR simulations, and AR guides are producing significant ROI by accelerating skill proficiency, decreasing training expenses, and improving engagement. Integrating AI allows for content personalization at scale, real-time employee support, and enhanced data collection.
How AI and Immersive Training Work Together
Artificial Intelligence encompasses tools that enhance training initiatives, including generative AI for content creation, conversational AI coaching, machine learning, and predictive analytics. Immersive training utilizes XR technologies such as augmented, virtual, and mixed reality, along with immersive software to create experiential learning.
Examples include VR simulations for surgeons and AR glasses for engineers needing on-the-job support. These technologies offer new possibilities when combined.
Examples of AI in Immersive Training
Synthetic media, which is AI-generated content, can include AI-generated courses, digital twin environments, and human-like avatars. Companies are using AI to develop code, virtual environments, and frameworks for XR training. AI also aids in streaming content to headsets.
NLP technologies enable learners to interact with AI-driven systems naturally, allowing them to communicate with AI assistants to complete tasks or ask questions. Intelligent assistants can offer real-time feedback and guidance. For example, an engineer can ask an AI assistant about machinery for immediate guidance.
Computer vision in XR training apps tracks a person’s actions and engagement using sensors and tracking capabilities. This creates engaging training experiences and improves safety by monitoring employee movements.
Benefits of Personalized Learning
AI enables dynamic personalization of learning content through adaptive learning systems that tailor content based on performance data, goals, and roles. For instance, Credit Agricole uses VR training and AI bots to provide real-time insights to customer-facing teams, improving their posture, tone, and decision-making.
Avatars can serve as virtual instructors or peers, offering authentic interactions for learners. This simplifies delivering educational assistance at scale without relying on numerous educators or mentors.
The Evolution and Accessibility of Immersive Training
Corporate training has shifted from in-person education to online courses, training videos, VR simulations, AR training, and mixed reality experiences due to the evolution of the workplace, the rise of remote work, and the need for digital transformation. Online courses sometimes lack engagement and can become outdated quickly.
XR training can improve learning effectiveness. AI offers a way to personalize content and support learners efficiently and cost-effectively. XR hardware is becoming more affordable, and software solutions are more accessible. Generative AI tools can create code and assets for metaverse environments. AI technologies are more accessible with API access to various models.
Measurable Benefits
Businesses are seeing measurable benefits from combining AI and XR. AI brings the intelligence, while XR provides the environment, creating smart and responsive digital training. AI in immersive training allows for adaptive and scalable experiences that meet the needs of today’s businesses. Integrating XR with AI can bridge skill gaps and replace static content with immersive experiences.