It is important to set clear expectations for students regarding AI and not assume that every instructor or department will have the same guidelines. It can be helpful to think about the acceptable uses for AI and what would interfere with the learning objectives and critical thinking skills your class is trying to develop. When you decide how or if you would like to incorporate AI, clearly state your expectations for students. The Harvard Office of Undergraduate Education (2024) has created three examples for AI syllabus languageopens in new window, from most limited to least restrictive, that I find straightforward. When AI is allowed, any use of AI must be appropriately cited, and students are responsible for the accuracy of AI output. Although Harvard’s website and AI Pedagogy Projectopens in new window were developed for their students and faculty, it contains a wealth of widely applicable guidance.
When addressing AI use in class, showing the pitfalls of overreliance on AI can be useful as well. In one recent study, “Examining the Capabilities of GPT-4 to Write an APA-Style School Psychology Paper,” researchers found unsubstantiated sentences, incorrect citations, citations to papers that do not exist, and more (Lockwood & Castleberry, 2024). Having students track down references in an AI-generated paper and pinpointing any mistakes could be an interesting assignment to reinforce APA Style and information literacy skills.
In addition to issues with substantiating claims and citing sources, AI-generated text can often lack APA Style’s three primary principles: clarity, precision, and inclusion. AI-generated text often reads like a summary and lacks specificity (The Writing Program, 2024). It might also perpetuate the use of terms that were once acceptable but are no longer recommendedopens in new window, which can be difficult for students to spot. Encourage clear, precise, and inclusive language in your grading rubric.
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