We are often asked how AI tools can be integrated into LMS platforms. Here are the most common ways we’re seeing this done:
- Chatbots and virtual assistants have been around for some time and can offer learners instant support and guidance at any time
- Generative AI enables course creators to develop content, generate course summaries and create course imagery
- AI analytics is being used to analyse learner activity and preferences in order to recommend customised learning plans and courses. It can also be used to analyse learner behaviour to identify where learners are struggling or at risk of dropping out
Platform providers themselves are not sitting around waiting for AI enhancements to be developed by others. Key areas of AI-driven systems improvements include:
- The generation of Capability Frameworks and use of skills gap analysis to help ensure the right training is provisioned by learner role
- Tailoring learning pathways and feedback around learner activity
- AI-driven assessment and grading systems
Just like any technology tool though, it’s not about just bolting on a ‘shiny thing’ or swapping horses mid-stream just because it might help. It’s critical that you have clear business outcomes in mind when integrating AI into an LMS. While system costs are dropping, any proposed investment needs to be clearly sheeted back to a meaningful benefit. Whether it’s better user experience, efficiencies in managing the platform, or improved learner retention and engagement, the role of AI needs to be clearly defined along with how it will add value to your investment in LMS technology.