The Analysis phase of ADDIE involves gathering data about performance gaps, learner characteristics, organizational needs, and identifying the core problem that training needs to solve. AI’s role here is likely limited, but may be helpful in analyzing performance data and identifying skills gaps.

The Design phase of ADDIE focuses on learning objectives, Action Mapping, developing an effective content structure, and assessment strategies based on the Analysis findings.AI can assist by generating learning objectives aligned with identified needs, suggesting optimal content structures, developing course scripts, and creating personalized learning paths based on learner personas. During Design, you may also to add useful AI-enhanced features such as podcasts, ‘tutors’, and ‘Ask the Expert’ resources.

The Development phase creates actual learning content, media, and assessments based on the design specifications. AI can accelerate development by generating first drafts of content, creating multimedia elements, and developing assessment items. In particular, this is where platforms like OpenAI can be leveraged and integrated into course builders like Articulate Storyline to create real time responses to learner questions, suggestions for learner improvement, alternative learning paths based on learner progress and so much more. AI also offers opportunities to create more engaging learning games with meaningful cognitive and behavioral impact, as well as ‘tutors’ to provide real time feedback and suggestions.