The project aims to explore and propose a structure for an AI-assisted scoring system on the Riipen platform. The primary goal is to identify which types of learner activities should be scored for completion and which should be qualitatively assessed with AI assistance.

This involves understanding the nature of activities on Riipen and determining how AI can enhance the evaluation process. The project will require understanding current capabilities within Riipen for tracking completion and for scoring activities, and proposing an updated system that is both effective and adaptable.

Key considerations include the types of activities that benefit from AI assessment, the design of scoring metrics, and the configurability of the scoring system to accommodate diverse educational contexts.

The project deliverables include a comprehensive proposal outlining the structure of the AI-assisted scoring system. This proposal should:

• List the types of activities suitable for completion scoring and those for qualitative AI assessment.
• Describe the proposed scoring metrics
• Describe the configurability of scoring metrics to educators
• Describe how scoring is surfaced to learners within the platform so they are aware of what activities are scored and of what their final score is.

The last two items could have UI/UX deliverables such as wireframes or mockups if this is within the capabilities and time allotted to the team.