Writing Across the Curriculum Assignments, Classroom Activities, and Educational Resources for Higher Education
This article explores strategies for editing AI-generated text, emphasizing accuracy, completeness, and critical engagement. Students refine AI output through revision, improving coherence, source integration, and rhetorical awareness.
Students critically engage with AI-generated summaries, enhancing their rhetorical analysis, comprehension strategies, and ability to assess textual meaning and bias.
Students use AI to engage in rhetorical argumentation, refining their ability to analyze, respond to, and construct persuasive academic discourse.
Students write persuasive scripts using AI and consider rhetorical awareness, audience adaptation, and argumentation skills through interactive and performative writing exercises.
Students use AI tools to explore genre conventions across languages, refining multilingual writing skills and enhancing their understanding of rhetorical and cultural differences.
Students experiment with AI-generated poetry, refining prompts and analyzing output, gaining a deeper understanding of poetic structures.
Students critically evaluate AI-generated historical narratives, recognizing biases and omissions. This resource fosters ethical awareness, research skills, and responsible engagement with AI-assisted writing.
Students examine AI-generated content for ethical concerns, bias, and credibility. This resource encourages critical thinking, ethical awareness, and responsible engagement with AI-assisted writing.
The Critical Media Analysis Project (CMAP) explores how students can critically engage with AI-generated media and text to assess bias, credibility, and ethical implications. The article provides strategies for integrating AI into media analysis, helping students develop critical thinking skills and a deeper understanding of ethical issues in digital writing.
AI supports poetic experimentation by generating, analyzing, and refining verse, assisting with rhythm, wordplay, and structural variation. Students engage critically with AI-generated poetry while developing their own creative and analytical skills in poetic composition.
Students explore how AI-generated text can reflect and adapt to an individual’s writing style. The activity examines the implications of AI-assisted authorship, guiding students in refining their digital writing practices, critically assessing AI-generated content, and maintaining their unique voice while engaging with machine-generated text.
Students explores how AI tools can enhance creative and academic writing by integrating text and visual elements. The article examines ways AI-generated images and text can work together, encouraging students to experiment with multimodal composition and develop a deeper understanding of the relationship between words and visuals.
Explores how understanding AI token use can help students refine their writing prompts, analyze AI-generated responses, and develop a more nuanced approach to digital writing.
This activity explores how AI tools can support writing as an iterative process rather than just a means to produce a final product. The article highlights strategies for using AI to encourage drafting, revision, and reflection, helping students develop stronger writing habits and critical engagement with their work.
Students use GenAI prompts to begin their writing projects and evaluate the AI ideas.
This assignment asks undergraduate students to train their own language model based on a set of text documents that they select.
These activity prompts, all written by Traci Gardner, help students explore ethical considerations related to AI in writing.
This comprehensive glossary of 36 AI terms aims to clarify complex AI concepts, making them accessible to a wider audience.
This article discusses how to spot deepfakes, highlighting the growing sophistication of AI-generated content.
Students discuss the use of disclosure statements for AI-generated content. Students consider how to craft clear and honest statements, enhancing their technical writing skills and understanding of AI ethics.
This activity explores an ethical scenario involving team documentation when a member is absent. Students must evaluate various options and their implications for accuracy, deadlines, and safety.
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.
Through discussions, definitions, and reflective activities, students develop a critical understanding of facial recognition and its impact on privacy, enhancing their analytical and writing skills.
This lesson plan teaches students about AI recommendation algorithms and their influence on online content. Through videos, discussions, and reflective exercises, students learn how algorithms shape their online experiences and develop critical thinking and writing skills.