We can auto-create micro-learning elements from your existing artefacts. We do that in 4 steps:
We first extract key ideas and concepts from your artefacts and provide them to you for vetting. You can change and add to this list.
We then extract content from your artefacts around these concepts and stitch them together into coherent blocks. We do a round of QA to check that these are indeed coherent.
We then generate questions and responses – usually multiple-choice or fill-in-the-blank options for these chunks.
Finally, we create metatags for these chunks so that they are available through keyword or phrase searches.
Micro-learning generated this way is most effective for content that is rapidly changing or when the volumes are very large.