SURF Mentoring
Potential projects/topics: The project involves the continued development and refinement of the QuantumAiEd platform, an AI-based educational tool designed to teach quantum computing (QC) concepts to high school and undergraduate students. The focus would be on:
- Adapting the AI chatbot to provide even more tailored learning experiences based on individual student feedback and performance data.
- Developing new modules or deepening existing ones on quantum computing principles, algorithms, and applications to bridge the gap between introductory and advanced topics.
- Incorporating suggestions from previous studies to add more interactive elements like visual aids and interactive simulations to explain complex quantum concepts.
- Conducting further studies to validate the effectiveness of QuantumAiEd across a broader, more diverse student body, potentially in different learning environments (classroom vs. independent study).
This project would be ideal for students interested in computer science, physics, education technology, or anyone curious about how AI can revolutionize education in cutting-edge fields like quantum computing.
Potential skills gained: Grasping basic to intermediate quantum computing principles through interactive learning. Working with APIs (like those for AI chatbots) or potentially contributing to the development of educational software. Learning how to design, conduct, and analyze educational experiments or user studies.
Required qualifications or skills: Familiarity with Python, though not necessarily quantum computing. Courses in introductory programming and physics would be advantageous.
Direct mentor: Faculty/P.I.