Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
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.
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.
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.
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.
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.
This policy statement from the National Art Education Association emphasizes the need for ethical and responsible integration of AI tools in the Arts classroom.
This policy, from the National Council of Teachers of Mathematics, highlights the role of AI in enhancing personalized learning, emphasizing the need for teachers to integrate AI ethically while maintaining their pedagogical and relational expertise.
This policy, from The Modern Language Association (MLA)-Conference on College Composition and Communication (CCCC) Joint Task Force on Writing and AI, provides a comprehensive overview of the implications of AI in writing and literature education.
This policy, from the Association for Writing Across the Curriculum (AWAC), emphasizes maintaining authentic writing experiences, integrating AI tools to complement best practices in Writing Across the Curriculum (WAC), and addressing ethical and practical implications of AI use in educational settings.
Students develop critical evaluation skills by assessing AI outputs for biases, assumptions, and stereotypes.
Students explore and reflect on algorithmic accountability through a speculative scenario where an AI called Professor Bot grades entrance essays.
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.