  Intelligent tutoring systems (ITS) are effective for improving students'
learning outcomes. However, their development is often complex, time-consuming,
and requires specialized programming and tutor design knowledge, thus hindering
their widespread application and personalization. We present the Apprentice
Tutor Builder (ATB) , a platform that simplifies tutor creation and
personalization. Instructors can utilize ATB's drag-and-drop tool to build
tutor interfaces. Instructors can then interactively train the tutors'
underlying AI agent to produce expert models that can solve problems. Training
is achieved via using multiple interaction modalities including demonstrations,
feedback, and user labels. We conducted a user study with 14 instructors to
evaluate the effectiveness of ATB's design with end users. We found that users
enjoyed the flexibility of the interface builder and ease and speed of agent
teaching, but often desired additional time-saving features. With these
insights, we identified a set of design recommendations for our platform and
others that utilize interactive AI agents for tutor creation and customization.
