The Discipline & AI Literacy module has four parts:
The Expert Lens: What discipline literacy means in accounting, and how to think and read like an accountant.
Science of Studying: Why accounting can’t be crammed, plus practical tips for studying with the textbook and video resources.
AI and Digital Literacy: Students complete free assignments from the EY Academic Resource Center to learn what AI is and how to use it ethically in the profession.
Closing Reflection: Students write about where they are as learners, what surprised them, and what they want to do differently. Prompted self-reflection improves learning, and for many community college students it’s the first time anyone has invited them to examine their own thinking
Most students will use AI in their accounting careers. The question is whether they will know when to trust it.
This discussion arc runs the whole semester of ACCT 2301. Each chapter teaches students to prompt AI on purpose, check what it gives back, and decide when using it makes sense. Every discussion builds on the last, so by the end students are thinking like professionals who understand AI’s limits.
Student-centered design that meets learners where they are
A progression from guided practice to independent judgment
COSO internal control connections and Bloom’s Taxonomy throughout
AI use modeled openly by the instructor, not just required of students
I piloted this in summer 2026 and asked students for feedback.
What worked
Students most often named one skill they gained: noticing when AI output is incomplete or wrong instead of taking it at face value.
Many wanted to keep the study tips and information pages.
What didn’t
Opinions on keeping the AI module were split about 50/50.
The main complaint was volume and repetition, not the AI concept. Some students understood the idea early and found later questions redundant.
Required peer replies were rated weaker than the original posts, so that’s my next revision target.
Students suggested comparing outputs from different AI tools side by side, comparing an AI-generated financial statement to a human-checked one, and adding more direct examples of AI hallucinations.
Feedback was collected anonymously for course improvement. It is not IRB-approved research.
One thing that has worked for me over the past few years is the choice board.
Instead of giving everyone the same discussion question, I offer a menu of ways to respond to the week's reading or videos. I've sprinkled these through chapters as discussions, and in other chapters I narrowed in on specific topics I wanted them to dig into. I wouldn't recommend this as an every-chapter discussion topic.
Note: I picked this up through an educational conference from a professor in the education discipline using it for their competency-based online program and adapted it for my accounting courses. Below is a picture of the choice board I use as a starting point. Take it, change it, and make it fit your course and your students.