My motivation
Why I built it from scratch
As an educator, I want students to understand how foundational science informs the decisions they will make in practice. A correct answer matters, but so does the reasoning behind it: why this option, what evidence supports it, and what would change in a different case?
I wanted to bring that thinking into an active classroom experience. Students could discuss a question with their team, commit to an answer, receive feedback, and use the explanation to reconsider their reasoning. Faculty could build those activities around the material they actually teach.
Building ClinQuest from scratch gave me the freedom to connect the whole teaching workflow: lecture material, question preparation, faculty review, live team play, and a closer look at the results afterward. My motivation was to make that process practical enough to use as part of everyday teaching.
I also wanted to explore how AI could help educators prepare these activities while keeping academic judgment with the instructor. The questions still need review. Their educational value comes from how they are selected, discussed, and used to support learning.