Digital Guide
A Practitioner’s Guide to AI Integrated Assignments
A working reference for designing assignments where students use AI deliberately, show the reasoning behind their choices, and leave a record you can actually grade.
Your Guide Contains:
- A plain definition of AI integrated assignments and the five design principles behind them
- 4 assignment frameworks + a 15-week sample semester you can adapt into a course you already teach
- What to read in a decision log, a concept map, and a counterargument assessment
- A Redesign Tool to instantly create a custom AI integrated assignment and rubric
- Syllabus and first-day language for setting expectations about student AI use
Students will use AI. The question now is whether they’re building any skills while they do.
Until now, faculty have lacked a consistent, scalable way to integrate AI into their coursework. This guide shows you how to design assignments that push students to think critically and evaluate AI outputs while making their thought processes visible and easy to assess. We explore four practical assignment types, core design principles, semester implementation strategies, and the research proving their success.
Who this Guide is For
- Faculty and instructors: You want students using AI in a way that builds skill, and you want to grade something more substantive than polished prose.
- Instructional designers and CTLs: You’re supporting faculty across disciplines who are all asking the same question and arriving at different answers.
- Academic leaders: You need AI literacy embedded in coursework at scale, without asking every instructor to rebuild a course.
Access Guide
Get your copy of the Practitioner’s Guide to AI Integrated Assignments
The full guide covers the five design principles, how to preserve essential learning skills, an Assignment and Rubric Generator to flip adapt a course you already teach, and a 15-week semester framework.