AI Literacy Workshop Series

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.

Creating Constitutions with ChatGPT

Students work collaboratively in groups to draft their constitutions, fostering teamwork and communication skills while allowing them to benefit from diverse perspectives and ideas.

Search Tool Comparison Activity

The assignment guides students to thoroughly evaluate different search tools, including Google Scholar, AI tools like ChatGPT and Elicit, and academic databases.

Think Outside the Box

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

How Neural Networks Work

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.

Writing: Improve Transitions

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.

GenAI Chatbot Scenarios in Higher Education

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.

Genre Generators

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.

Synthetic Metacognition: Iterating Prompts with GPTs

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.

Neuroqueering AI: The Text Generator as Emergent Collaborator

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).