Teaching Writing Across the Curriculum with AI
Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
This lesson plan teaches students how AI is trained using data they share online. Through illustrations, discussions, and real-life examples, students learn the importance of data in AI development and enhance their critical thinking and writing skills.
This lesson plan introduces students to AI chatbots, their functionalities, and their real-life applications. Through videos, discussions, and interactive activities, students enhance their understanding of AI chatbots and develop critical writing skills by articulating their knowledge and reflections.
In this assignment, students create their own mixtape using Boomy’s AI tools.
Students investigate how Instagram’s AI ranks posts in their feeds.
Students experiment with TikTok’s algorithm to see how effectively they can influence their For You Page (FYP) content.
Students explore methods to fool their phone’s facial recognition technology and reflect on the effectiveness of these methods.
This project guides students in designing an AI agent to effectively interact with humans in various disciplines. They will explore the current use of AI in specific fields and develop their own AI agents to address real-world tasks or challenges.
This project helps students understand how subject-matter experts classify information and how AI can perform similar classifications to solve real-world problems. By creating a guessing game, students synthesize knowledge from their coursework, making it a great tool for review and end-of-unit synthesis.
The activity helps students explore AI’s decision-making processes and its ethical implications. As part of the activity, students play “Celebrity Heads” to compare artificial intelligence to human intelligence.
Students first analyze stories generated by AI, developing their ability to assess the strengths and weaknesses of machine-made narratives. Next, they create their own stories using AI, allowing them to explore the creative process from a technological perspective.
Students first read and reflect on articles on the social implications of AI and then participate in class discussions of the ethical dilemmas that AI presents. Additional ideas in the chapter include asking students to play with predictive text and to write position statements on the use of AI.
This curriculum introduces the technical details of how AI systems generate content using context, allowing students to engage actively with the material.
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.
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 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.
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.
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.
The assignment provides students with practical experience in machine learning by engaging them in activities that involve training algorithms and analyzing data, making complex concepts more accessible through hands-on application.