Pushing Past the First Draft: Exercises in Revision
This assignment focuses on the importance of revision in the writing process, guiding students through multiple stages of refining their drafts to improve clarity, coherence, and overall quality.
Undergraduate
Working Alongside, Not Against, AI Writing Tools in the Composition Classroom: A Dialectical Retrospective
This assignment emphasizes the use of AI writing tools to enhance students’ writing processes, encouraging them to explore and leverage these technologies effectively in their compositions.
Using the AI Explainpaper to Help Students Better Understand Journal Articles
This activity uses the AI Explainpaper tool to help students break down and understand complex journal articles, making advanced academic texts more accessible and comprehensible.
AI Literacy Workshop: Overview and Criticial Examination
The assignment provides a thorough introduction to AI concepts, covering the history, development, and current applications of AI technology.
AI Literacy Workshop: Prompt Engineering
This assignment provides a comprehensive introduction to prompt engineering, explaining its significance in guiding AI outputs and teaching students how to craft effective prompts for AI tools.
Research Tools Outline
The assignment guides students in exploring a variety of AI research tools, allowing them to learn the different functionalities and applications of each tool in the research process.
Using ChatGPT For Library Instruction: Information Creation as a Process
This assignment incorporates the use of ChatGPT to help students understand the process of information creation, highlighting the practical applications of AI in academic research and library instruction.
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.
Harnessing Pandora’s Box: At the Intersection of Information Literacy and AI
Through six templated lesson plans, this resource covers information literacy and visual literacy. The assignment provides a structured framework for understanding and applying ethical principles in AI usage.
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
Vetting ChatGPT sources
The assignment provides a detailed framework for evaluating the credibility and reliability of sources generated by ChatGPT, helping students develop critical thinking skills and discernment in using AI-generated content.
Hidden Layer: Intellectual Privacy and Generative AI
Students are provided with a comprehensive overview of artificial intelligence, covering its history, current applications, and future implications, which equips them with a broad understanding of the field.
AI Literacy Workshop: Evaluation and Detection Tools
Students explore and debate the ethical considerations and practical implications of using AI and detection tools in real-world contexts.
AI Literacy Workshop: AI and Copyright
The assignment provides an extensive overview of copyright laws relevant to AI-generated content, including discussion of Creative Commons licensing.
Using Generative AI Responsibly for Brainstorming and Refining a Research Question
The assignment includes activities that actively engage students with GenAI tools to brainstorm and refine research questions.
Revisioning a Bibliography Assignment to Center Discovery and Critical Source Engagement
The assignment shifts the focus from traditional bibliography compilation to a discovery-centered approach, encouraging students to explore and engage deeply with sources.
Cake-Making Analogy for Setting Generative AI Guidelines/Ethics
The assignment uses the cake-making analogy to explain the importance of setting guidelines and ethics for generative AI.
How RNNs (Recurrent Neural Networks) + Transformers Work
This curriculum introduces the technical details of how AI systems generate content using context, allowing students to engage actively with the material.
How GANs (Generative Adversarial Networks) Work
This activity provides an interactive and engaging approach where students can play with AI tools and explore GANs and discrimnators through activities like a password guessing game and painting with a generator.
AI & Ethics
Students engage in role-playing activities where they run their own companies and make ethical decisions. This hands-on approach helps them understand the practical implications of AI ethics.
AI & The Environment
This assignment highlights how AI can process large datasets much faster than humans, aiding environmentalists in protecting wildlife. By analyzing camera trap and satellite data, AI helps researchers make informed decisions and conservation plans.
AI & Drawing
This assignment teaches students how data becomes output in AI models and highlighting the presence of human biases in datasets. By exploring drawing in Google Quick, Draw!, students learn core AI ideas in a fun and interactive way.
AI & Facial Recognition
The activity addresses biases in facial recognition, particularly how it fails more often on women and people with darker skin. It also discusses the ethical implications and legal responses to surveillance technology, fostering critical thinking and informed discussions among students.
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.