AI Literacy
The AI literacy grouping helps students to develop a crucial suite of critical thinking skills needed to work with emerging technologies: functional awareness, skepticism about claims, and critical evaluation of outputs.
- Create Your Own ChatGPT
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João Gonçalves and Sarah Young
Erasmus University Rotterdam, The NetherlandsThis assignment asks undergraduate students to train their own language model based on a set of text documents that they select. It provides them with code to do so on the free Google Colab platform, as well as detailed instructions. It allows them to understand the mechanisms behind language models and the requirements to train them, which in turn translates to higher levels of AI literacy. This approach is especially useful to foster a more critical use of generative AI by students, highlighting the links between training data and model outputs.
- Using AI as a Tutor for Writing Initiation
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Victoria VanProoyen
Western Michigan UniversitySimilar to the way in which a writing center tutor might initiate an intervention-focused tutoring session by being a writing expert, conference manager, and conversation facilitator (Mattison, 2019, pg.6), this lesson plan uses a teacher-created GenAI prompt to assist students in starting writing tasks. Developed from a case study in an “AI Writing” course at Western Michigan University, the lesson asks students to interact with GenAI platforms, such as Claude, to learn the first steps of an assignment and begin to critically evaluate AI-generated content. This lesson emphasizes the importance of ethical AI integration and personal input while also boosting students’ confidence and capability in beginning writing assignments.
- Emphasizing Process with AI-Augmented Writing
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Elizabeth Velasquez
Ohio State UniversityThis assignment asks students to engage with multiple AI tools at different steps in the writing process. In doing so, it introduces students to the limitations of text generative AI and encourages students to maintain a process-oriented approach to writing. Helping students broaden their AI tool kit allows them to maintain ownership of the things they create and encourages them to critically engage with AI-generated content.
- Learning about AI Token Use through Essays and Prompt Responses
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Joshua J. Wells
Indiana University South BendThe behaviors of textual AI tools are opaque to most college students, and misunderstandings about how such tools function are rampant. The term “artificial intelligence” can mislead students into believing that such tools contain actual knowledge, when instead those tools create statistical models of textual associations. This exercise introduces students to the concept of textual tokens in AI training data, which form the base data from which statistical associations are modeled. This helps students to visualize how AI processes function to build textual answers to prompts.