Deconstructing and Reconstructing Genre and Form with Tracery

Students use the JavaScript library Tracery to create procedural texts that generate new content based on predefined rules and word banks. This approach explores the power of randomness and variability in text generation, akin to advanced Mad Libs.

Different Ways of Narrating with Curveship-js

This assignment helps students grasp core aspects of narrative theory by requiring them to generate multiple variations of an underlying story. Students use Curveship-js, a JavaScript framework, to implement their narrative variations.

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).

Understanding Markov Chains

Students manually apply an algorithm to generate a Markov Chain from a given text extract, providing a concrete and interactive way to understand probabilistic language generation.

AI for Editing

Students use AI-based applications to assist in proofreading and improving their written work, fostering familiarity with modern technological aids in professional writing.

Professional Writing for Healthcare

Students select and read medical journal articles, draft summaries, and revise them, allowing for progressive skill development. The assignment incorporates the use of AI writing systems throughout the process.