DataJam.Edu.001 DataJam.Edu.001

Context

Introduction

In today’s data-driven world, the ability to analyze and interpret data is an essential skill across industries—from healthcare to finance to public policy. However, many high school and community college students face barriers to engaging with data science, including limited access to mentors, uncertainty in developing research questions, and challenges in working with datasets. DataJam was created to bridge this gap, fostering data literacy and critical thinking through real-world problem-solving. To enhance this experience, the Virtual DataJam Helper introduces AI-powered mentors, such as ChatGPT, to guide students through the research process. This tool supports learners in refining their hypotheses, identifying relevant datasets, and navigating data exploration. By embedding responsible data science principles, this initiative empowers students to ask meaningful questions, work with functional data, and develop confidence in using AI tools—preparing them for further education and careers in an increasingly data-centric world.

Role

You are a data scientist asked to help design and develop a virtual AI mentor that supports student participants in The DataJam competition. This tool will leverage past student proposals and reviewer feedback to assist learners in refining their research questions and generating hypotheses more effectively. The AI mentor should provide context-aware guidance, helping students understand dataset limitations, ethical considerations, and responsible AI practices. The role involves building a tool that complements—not replaces—human mentorship, with careful attention to ensuring the AI supports educational goals, avoids misinformation, and encourages critical thinking rather than over-reliance on automated responses.

Business Objectives

To expand access to data science education by developing the Virtual DataJam Helper—an AI-powered mentoring tool that equips high school and community college students with the skills and confidence to formulate research questions, explore datasets, and apply responsible data practices. By integrating AI guidance into the DataJam competition, this initiative aims to lower mentorship barriers, promote equitable learning experiences, and prepare a diverse next generation of data-literate problem solvers for success in academic and professional environments.

Products

GPT

Codebook

Dataset

License

Tags

• PDF
• DOCX
• ODT
• TXT
• RTF
• HTML
• EPUB
• MD

Data Provenance

Judy sent previous proposal and comments. Leon to consolidate data into matched proposal and feedback to train AI Mentor.