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.

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.

AI-Assisted Learner Support and Skill Development Proposal for Riipen

The project aims to explore and propose a framework for leveraging AI to support learners in developing subject-specific skills, improving customer experience, and providing guidance throughout the project application and completion process. Key considerations include the role of AI in providing discipline-specific tutoring, enhancing customer support interactions, and streamlining the learner journey from project discovery to completion. The project will also evaluate how AI can be used to offer real-time feedback, skill development recommendations, and interactive learning experiences.

Business Operations and Revenue Optimization Consultation

Riipen is seeking a comprehensive consultation to evaluate and enhance its business operations. This could focus on revenue, marketing, internal operations, marketing, business structure or market expansion. The goal of this project is to identify areas of improvement and provide actionable recommendations that can help Riipen streamline its operations, increase revenue, and enhance client satisfaction. Students will apply their classroom knowledge in business analysis, operations management, and strategic planning to conduct a thorough assessment of Riipen's current practices. The project will involve data collection, analysis, and the development of a detailed report outlining opportunities for improvement. This project offers a practical application of theoretical concepts and allows students to gain hands-on experience in business consulting.