How does it work?
Once a course is parsed, Rustici Generator stores that information within an embedding. An embedding is essentially a long list where numbers represent parts of the word’s/text’s meaning. These embeddings allow us to work with an AI model to generate different artifacts. The current list of things that can be created are metadata and questions.
What metadata can be generated?
- Course titles
- Course summaries of different lengths and styles
- Keywords
- Skill taxonomy tags (Import your own or use suggestions)
Skills taxonomies
Skills data has become an integral piece of eLearning within the past few years with the movement of individualized learning and skills-based learning. Rustici Generator enables you to coordinate your content with skills much more easily. It allows for the generation of new skill suggestions based on the content or by importing your own taxonomy to have suggestions pulled from there. This helps reduce inconsistencies across content with skill mapping and allows for improved eLearning personalization.
How are questions generated?
The question suggestions from Rustici Generator are meant to be a starting point for inspiration in your assessment building. Not only do they look inside the content to create these questions, but they also provide references to where it was sourced. This can be an extremely helpful tool in reducing workload from ideation and creating a springboard for creating assessments.
- Generate basic multiple choice questions, answers and distractors for creating assessments.
- Include back-references to the course and correct answers from within content.
- Exportable in CSV, JSON and Aiken formats.
Have more questions about metadata and question generation?
Reach out to our team and ask us anything!