Leading a research study supported by a Joyful Learning seed grant from the Stanford Accelerator for Learning (SAL), under PI Dr. Shima Salehi. This study evaluates the efficacy of Reflective Notebook, an AI-enhanced digital engineering notebook I designed to make engineering education more accessible and relevant to students with diverse interests.

This student role provides support to the Stanford community to explore and evaluate generative AI. In addition to supporting Tinkery visitors, I developed and facilitated AI literacy workshops to support GSE courses with prompting strategies, AI use in literature reviews, and AI tools for prototyping.

In this student internship role, I worked with a dataset of parent stories about joyful learning moments, identifying major themes and proposing design implications of those themes. Using those insights, I developed a functional prototype of a parent education intervention in order to support needfinding and feedback interviews.

In this student internship role, I interviewed RAFT education and development staff to understand their approach to hand-on STEM learning, then created a logic model summarizing the research basis and outcomes of their activities.

With this role, I took on responsibility for our online content strategy and production as well as building a new team to support copywriting, filming, and video editing. I created a series of short-form videos on STEAM topics which delivered millions of views over 5 months. I also re-launched our core YouTube channel with a new series focused on kid-friendly engineering challenges.