Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
Students reflect on their personal histories and preferences by participating in an interactive survey. These responses are then analyzed using text generation models to explore how AI interprets and predicts social identities, highlighting the biases and assumptions inherent in AI technology.
Students use accessible language models to generate parts of their term papers. This hands-on experiment helps students explore the capabilities and limitations of AI in writing, as well as the ethical dimensions of using such tools.
Students engage in hands-on activities where they create prompts, analyze the outputs generated by LLMs, and reflect on the outcomes.
Students create “spells,” or poems based on a wish, and then use a large language model (LLM) to generate a corresponding AI-created spell.
This assignment engages students in the practice of procedural creativity by encouraging them to play with, hack, or build text generators.
Students compare AI-generated responses to human-written responses, examining differences in style, clarity, and effectiveness.
Students generate a paper focused on a highly specific and recent text technology and reflect on how LLMs influence the writing process and their own writing practices.
Students choose a dataset to train their language model and analyze the generated output to identify patterns and new meanings. They write a reflective essay to critically consider the affordances, challenges, and generative potential of large language models (LLMs).
Students analyze how the AI processes and generates text, providing a practical understanding of natural language processing (NLP) concepts. They critically evaluate the AI-generated responses and reflect on the potential applications and limitations of using AI in technical communication.
Students collaborate in small groups to produce a creative work and then write a reflective piece about their contribution to the project and the group dynamics.
Students research various text analysis and summarization tools, allowing them to critically evaluate the effectiveness and accuracy of these technologies in summarizing technical documents.