AI-Assisted Scoring System Proposal for Riipen

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.

Diagnostic organisationnel

Défis : faire un diagnostic organisationnel et développer une stratégie marketing.

Plan marketing

Défis : Plan marketing pour conquérir un nouveau marché.

Riipen Platform User Experience Evaluation - Employer Onboarding

The goal of this project is to evaluate the user experience of the Riipen platform from the perspective of a new employer. A team of students will sign up on Riipen as an employer, create a company profile, and develop a project. They will then navigate the marketplace to find a suitable experience to match with, using input from a Riipen contact to guide their process. (Do not submit any match requests before discussing with the project administrator at Riipen.) Throughout this journey, students will document their experiences, identifying which parts of the process are intuitive and which are challenging. The ultimate aim is to provide actionable feedback to Riipen, highlighting areas for improvement to enhance user satisfaction and reduce user drop-off rates. This project allows students to apply their knowledge of user experience design and evaluation in a real-world context.