AI Literacy Across the Curriculum
As you have no doubt seen, AI is becoming ubiquitous in our lives and in the technologies we use every day. Generative AI is no longer an experimental tool, but a deployed technology in many of the exact fields our students are training to enter. AI Literacy has become a universal competency required for students (see UNESCO’s AI competency framework for students).
AI is advancing more rapidly than we can adapt, however. Just in the past few months, AI browser agents are emerging that can complete student’s or instructor’s work in Canvas. Used improperly, AI can result in cognitive offloading that leads to overconfidence and reduced performance.
So while there is a critical need to prepare students for an AI-driven workforce, we also need to mitigate academic integrity and learning and skill development risks from student misuse of AI.
Instead of a simple, punitive “don’t cheat” message, which research consistently shows is ineffective for changing student behavior, we can help students understand why over-reliance on AI harms their own learning and skill development in the long term, as well as how to ethically and productively use AI.
Mastering AI Literacy or indeed any literacy is also not something that can be done in a single lesson or even a single course, but is instead better distributed throughout students’ education (see for example Writing Across the Curriculum). Hence, you may find it helpful to incorporate contextualized AI literacy activities or information in your own courses. Below are some examples, if any look useful to you.
AI Literacy Modules and Activities
There are several example AI literacy resources out there. You might search Google or Google Scholar for “AI Literacy” plus the name of your discipline, but below are some general and discipline-specific examples:
General AI Literacy Modules
Discipline-specific AI Literacy Resources
More Resources on AI Literacy
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