Co-Creating Intersectional Design Narratives with AI
The assignment emphasizes collaboration with AI tools to enhance creativity and innovation in design, allowing students to explore how AI can contribute to the narrative creation process.
Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
The assignment emphasizes collaboration with AI tools to enhance creativity and innovation in design, allowing students to explore how AI can contribute to the narrative creation process.
The activities in this article emphasizes the importance of critical media literacy, encouraging students to critically analyze and evaluate the use of generative AI in various media contexts.
This collection of activities were part of a series of workshops on AI literacy, touching on tools, prompt writing, and more. The activities can be used individually or as a full series.
Students work collaboratively in groups to draft their constitutions, fostering teamwork and communication skills while allowing them to benefit from diverse perspectives and ideas.
The assignment guides students to thoroughly evaluate different search tools, including Google Scholar, AI tools like ChatGPT and Elicit, and academic databases.
Students compare and contrast information obtained from free generative AI tools and subscription databases, critically assessing the completeness and trustworthiness of the information provided by generative AI tools
This activity allows students to actively engage in the learning process by acting out different layers of a neural network and teaching others what they have learned.
ChatGPT helps create interactive games that teach students how to use transitions effectively, transforming learning from a traditional mode into a fun, game-based activity.
The assignment explores the ethical implications of various AI chatbot scenarios. The activity is designed to be conducted in groups, promoting collaborative learning and diverse viewpoints in discussing the ethical considerations of AI technologies.
Students collaborate with peers from different disciplines, using AI text generators. The collaboration enhances their understanding of writing styles across various fields and fostering diverse perspectives in their work.
Students begin by collaboratively analyzing implementations of text generators, such as Christopher Strachey’s Love Letter Generator. Next, students work in groups to create non-executable conceptual programs designed to produce new instances of chosen genres.
Students engage in prompt engineering by iteratively refining and tweaking the set of instructions given to a Large Language Model (LLM). Through a collaborative workshop format, students work in groups to analyze the AI’s output, discuss its strengths and weaknesses, and propose improvements.
Students explore and reflect on algorithmic accountability through a speculative scenario where an AI called Professor Bot grades entrance essays.
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 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.
By simulating real-world scenarios and varying the degree of AI usage, students experience firsthand the challenges and nuances of integrating AI into workplace communication.