In this discussion, our panel of experts consider the potential of AI to support self-guided learning. There are many questions and insecurities around deploying AI technology for learning: What can AI do? Where is it best utilized? What are the limits? And particularly: What does that leave for the instructional designer and other human roles in learning, such as coaching and training?
Yet, learning programs can now be built automatically from existing, high-quality content and a large range of resources, in seconds and at scale. This maximizes agility for creation/curation and drastically reduces the timescales involved. AI can also deliver these programs to learners, individually personalized at a granular level. It can do this across all types of content and assessments, including VR/AR environments, allowing for effective learning at an individual’s pace, and it allows us to do this at scale, while measuring progress for individual learners and groups, as well as impact of each piece of content.
Key Takeaways:
- Discover to how to utilize AI to adapt learning programs to each individual learner
- Understand how AI can help to identify where the boundaries of each learner’s competence lies, allowing learners to learn efficiently and effectively and in their own time
- Learn how a deeper, AI-driven level of data and learner analytics can be effectively utilized to make data-informed decisions on further learning, but also inform strategy and preparation for training, workshops and coaching
