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The Infoslicer Activity is designed to help teachers extract content from the Wikipedia in order to create lesson plans. This is currently a manual, extractive process. It is well suited to generative AI. The goal would be to have a teacher type in a theme for a lesson and have the AI create a simple lesson plan, which the teacher can then edit.
The biggest challenge to summarization using generative AI is hallucinations. A work-around for this is to include a validation step that surfaces evidence (or lack of evidence) for each assertion in the lesson plan. This will introduce some workflow and UX challenges.
Goals & Mid-Point Milestone
Goals
[Research suitable LLM]
[Backend development]
[Refactor Infoslicer]
[Goals Achieved By Mid-point Milestone]
[Research suitable LLM]
[Backend development]
Setup/Installation
No response
Expected Outcome
A refactoring of Infoslicer that can produce summaries of Wikipedia articles at a specified grade level.
Acceptance Criteria
backend server
integration with Infoslicer
grade-level summaries
Implementation Details
docker image for LLM
potential rewrite/simplification of Infoslicer activity
walterbender
changed the title
[DMP 2024]: Refactor the Infoslicer Activity to generate plain-language summaries
Refactor the Infoslicer Activity to generate plain-language summaries
Apr 12, 2024
Ticket Contents
Description
The Infoslicer Activity is designed to help teachers extract content from the Wikipedia in order to create lesson plans. This is currently a manual, extractive process. It is well suited to generative AI. The goal would be to have a teacher type in a theme for a lesson and have the AI create a simple lesson plan, which the teacher can then edit.
The biggest challenge to summarization using generative AI is hallucinations. A work-around for this is to include a validation step that surfaces evidence (or lack of evidence) for each assertion in the lesson plan. This will introduce some workflow and UX challenges.
Goals & Mid-Point Milestone
Goals
Setup/Installation
No response
Expected Outcome
A refactoring of Infoslicer that can produce summaries of Wikipedia articles at a specified grade level.
Acceptance Criteria
Implementation Details
Mockups/Wireframes
No response
Product Name
Infoslicer Activity
Organisation Name
Sugar Labs
Domain
Education
Tech Skills Needed
Artificial Intelligence, Docker, Python
Mentor(s)
@chimosky @Wa
Category
Backend, Frontend, AI
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