In this learning area, you will learn how to develop an argumentative essay and stronger critical thinking skills. This learning area will help you develop your arguments, understand your audience, evaluate source material, approach arguments rhetorically, and avoid logical fallacies. Here, you’ll also learn about evaluating other arguments and creating digital writing projects related to your argument.

The authors of Chinese Rhetoric and Writing offer a response to the argument that Chinese students' academic writing in English is influenced by "culturally nuanced rhetorical baggage that is uniquely Chinese and hard to eradicate." Noting that this argument draws from "an essentially monolingual and Anglo-centric view of writing," they point out that the rapid growth in the use of English worldwide calls for "a radical reassessment of what English is in today's world." The result is a book that provides teachers of writing, and in particular those involved in the teaching of English academic writing to Chinese students, an introduction to key stages in the development of Chinese rhetoric, a wide-ranging field with a history of several thousand years. Understanding this important rhetorical tradition provides a strong foundation for assessing and responding to the writing of this growing group of students.

"This course is an introduction to the history, theory, practice, and implications of rhetoric, the art and craft of persuasion throughAnalyzing persuasive texts and speechesCreating persuasive texts and speechesThrough class discussions, presentations, and written Assignments and Labs, you will get to practice your own rhetorical prowess. Through the readings, you'll also learn some ways to make yourself a more efficient reader, as you turn your analytical skills on the texts themselves. This combination of reading, speaking, and writing will help you succeed in:learningto read and think criticallytechniques of rhetorical analysistechniques of argumentto enhance your written and oral discourse with appropriate figures of speechsome techniques of oral presentation and the use of visual aids and visual rhetoric."

In this section, you will learn about the importance of ethical considerations and implications of Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs) like ChatGPT. This section highlights that LLMs are not inherently good or bad. Instead, the importance of user engagement in ethical practices is emphasized to ensure responsible use of these tools.

Ethical considerations for educators include attention to student privacy, expectations, and consequences—all of which should clearly be defined in syllabus statements, classroom policies, or institutional statements. Meanwhile, ethical implications exist involving varying ethical standards for how people approach LLMs differently, how human and machine bias influence GenAI, and how style guides differ on citing information garnered from ChatGPT.

After reading this section, you should be able to articulate your own ethical queries and concerns related to LLMs, such as ChatGPT, both as a general user and an educator.

Author: C. Anneke Snyder
Contributors: Gwendolyn Inocencio, Mary Landry, Jonahs Kneitly
Designers: Irene AI, Sweta Kailani
Supervisors: Terri Pantuso, Sarah LeMire

"In this text, you'll study the ways that rhetoric and communication developed over time, you'll learn about the different rhetorical tools that are used in effective communication, and you'll learn how to employ those tools in your own compositions."

EmpoWord is a reader and rhetoric that champions the possibilities of student writing. The textbook uses actual student writing to exemplify effective writing strategies, celebrating dedicated college writing students to encourage and instruct their successors: the students in your class. Through both creative and traditional activities, readers are encouraged to explore a variety of rhetorical situations to become more critical agents of reading, writing, speaking, and listening in all facets of their lives. Straightforward and readable instruction sections introduce key vocabulary, concepts, and strategies. Three culminating assignments (Descriptive Personal Narrative; Text-Wrestling Analysis; Persuasive Research Essay) give students a chance to show their learning while also practicing rhetorical awareness techniques for future writing situations.

This resource is an assignment for English 1301 (Composition 1) focused on the role of rhetoric in workplace writing. For this assignment, students prepare a job application packet consisting of a resume and cover letter. To do this, students must find an actual job advertisement posted online (or a job description) to include with their assignment. Students use their knowledge of the rhetorical situation and models of appropriate workplace writing (available from most college and university Career Centers, as well as from the Purdue OWL and UNC Writing Center websites online) to prepare an application packet tailored to the position they want. This assignment provides students with an opportunity to apply what they've learned in class toward a concrete, meaningful goal, and most students respond positively to it.

First-Year Composition is an open-source textbook designed to support the work of undergraduate writers enrolled in college composition courses. Although many of the topics addressed in the book are written with first- and second-year students in mind, the content remains relevant for writers at any stage of writerly development.

This OER is a writing handbook and resources for English grammar and punctuation.

This two-part resource is designed to support instructors and students as they navigate the presence of generative AI tools, specifically Large Language Models (LLMs) such as ChatGPT, in the rhetoric and composition classroom. Part I of this resource offers an instructor-focused introduction to what LLMs are and how they operate, as well as an in-depth exploration of the privacy concerns and ethical considerations related to using a tool like ChatGPT. Additionally, Part I provides insights on the practical application of LLMs within the realm of reading and writing in the rhetoric and composition classroom, while promoting a modified stasis theory as a strategy for evaluating any generated output.

Part II of this resource offers student-focused tutorials that demonstrate how ChatGPT can augment the writing process for assignments commonly given in a rhetoric and composition course. These tutorials cover the evaluation essay, rhetorical analysis, Rogerian argument, annotated bibliography, and research essay—all while promoting the responsible and ethical use of AI in writing and research. With this comprehensive resource, instructors and students can not only build confidence in their understanding of generative AI within academia, but also build digital literacy that will serve them in the world beyond.

Welcome to the textbook for Engineering Technical Communications courses at The Ohio State University. Our aim in writing this textbook was to create a resource specifically focused on and applicable to the kinds of communication skills most beneficial to the students who take our courses. Therefore, this textbook focuses on developing both technical and professional communication skills and will help readers practice strategies for critically analyzing audiences and contexts, real-world applications of rhetorical principles, and skills for producing documents (reports, proposals, instructions), presentations, videos, and wide variety of other professional communications.

Propaganda is used in several ways as a persuasive technique. Designers and authors desire to sway the reader’s thinking in specific ways to perhaps make certain purchases, as is the case in retail advertising. Other authors would like to communicate certain ideas and persuade the readers to adopt their beliefs. Naïve or unaware readers may find themselves subject to being pressured into challenging their own deeply held beliefs by experts or authorities or by something heard on the news or read in a book.

The purpose of this worksheet is to sensitize readers to the various propaganda techniques used in media of various forms and to challenge the readers to screen incoming information through their belief systems. Specifically, students will practice matching various statements to propaganda techniques like straw man arguments, bandwagon appeals, half-truths, loaded words, and obfuscation.

Author: Sharon Haigler
Editor: Mary Landry, C. Anneke Snyder
Supervisor: Terri Pantuso

In this section, we will examine how generative AI (GenAI) tools may assist with academic reading and research. Examples of content generated by ChatGPT will show how GenAI may be incorporated into a classroom setting. Each section offers suggestions for use and various strategies that could be incorporated for those who wish to allow the use of these tools for assignments. Included throughout are suggestions on how to promote students’ ethical and effective use of these tools and to possibly limit their use if desired. By the end of this section, you should be able to use GenAI to support reading practices.

Author: Jonahs Kneitly
Contributors: Gwendolyn Inocencio, Mary Landry, C. Anneke Snyder
Designers: Irene AI, Sweta Kailani
Supervisors: Terri Pantuso, Sarah LeMire

In this section, illustrative examples from ChatGPT show how to incorporate Large Language Models (LLMs) into the writing process while considering ethical concerns associated with such tools, namely avoiding plagiarism or exploitation of AI-generated content. The advent of public access to LLMs means they are now a critically important aspect of digital information literacy. As such, this technology must be addressed in the composition classroom with guided instruction. We recommend a strategy that models application of a modified version of stasis theory to all LLM-generated content.

After reading this section you should be prepared to teach stasis theory as a strategy for continual interrogation that helps rhetors discern whether generative-AI content exhibits appropriate depth, scope, and quality, along with the appropriate next steps in argumentation, writing, or research.

Author: Gwendolyn Inocencio
Contributors: C. Anneke Snyder, Mary Landry, Jonahs Kneitly
Designers: Irene AI, Shweta Kailani
Supervisors: Terri Pantuso, Sarah LeMire

The layout of our book implies there is a beginning, middle, and end to a writing course, but because writing is both an art and a skill, people will find their own processes for learning, improving, and using these skills. Writing processes differ because we are each looking for a workable schemata that fits our way of thinking. Try out a variety of writing processes and strategies, and find what works for you. If you are not uncomfortable on this journey, you simply are not stretching yet.

A quick glance through the book will show you that it deftly covers the basics, which are always important to review as you get ready to build onto your scaffolding. Reminders of terminology that form the foundation of a discipline—as well as explanations, descriptions, and examples of their use in a basic education—are in chapters such as “Critical Reading,” “Writing Basics: What Makes a Good Sentence,” “The Writing Process,” “Punctuation,” and “Working with Words.” These are, of course, fundamentals that you have worked with throughout your education, learning in each course skills and habits that elevate your reading, writing, and thinking abilities. This college writing course will ensure that you take another step up to college and professional writing.

This text is different in its emphasis on research skills and research writing. The form you will learn, the building blocks of that form, the formality, and the sacrosanct crediting of sources is explained here from English professors and our instructional librarian at the college. Leaning on questions that lead to searches for answers that lead to arguments that present your understanding, the chapters “Critical Reading,” “Rhetorical Modes,” and “Argument” will fill out your growing appreciation of and comfort with the research form in everyday life. From the discussion of source types to guidance through the research process to the models of essay deconstruction, you will find that the expectations and language of this text begin with the college-level student in mind.

Working through this text will elevate you into the next stage of writing for a 21st century student and professional.

This section is designed to build confidence about what Generative Artificial Intelligence (GenAI) means for the future of education by closely studying the operations, limitations, and theoretical value of a Large Language Model (LLM) like ChatGPT. To this end, this section seeks to explain what language modeling is and how this process contributes to an LLM’s tendency to generate inaccurate information. Additionally, this section considers how the design of an LLM—specifically, the collective knowledge it is trained upon—can contribute to the perpetuation of biases. Lastly, this section encourages critical thinking about the value of an LLM from a theoretical standpoint regarding the writing process and collaborative learning. By the end of this section, you should be able to articulate how an LLM like ChatGPT operates, as well as the value and limitations of this design within the evolution of learning.

Author: Mary Landry
Contributors: Gwendolyn Inocencio, C. Anneke Snyder, Jonahs Kneitly
Designers: Irene AI, Shweta Kailani
Supervisors: Terri Pantuso, Sarah LeMire

This textbook guides students through rhetorical and assignment analysis, the writing process, researching, citing, rhetorical modes, and critical reading. Guided by Oregon's statewide college writing outcomes, this book collects previously published articles, essays, and chapters released under Creative Commons licenses into one free textbook available for online access or print-on-demand.

In Placing the History of College Writing, Nathan Shepley argues that pre-1950s composition history, if analyzed with the right conceptual tools, can pluralize and clarify our understanding of the relationship between the writing of college students and the writing's physical, social, and discursive surroundings. Even if the immediate outcome of student writing is to generate academic credit, Shepley shows, the writing does more complex rhetorical work. It gives students chances to uphold or adjust institutional codes for student behavior, allows students and their literacy sponsors to respond to sociopolitical issues in a city or state, enables faculty and administrators to create strategic representations of institutional or program identities, and connects people across disciplines, occupations, and geographic locations. Shepley argues that even if many of today's composition scholars and instructors work at institutions that lack extensive historical records of the kind usually preferred by composition historians, those scholars and teachers can mine their institutional collections for signs of the various contexts with which student writing dealt.

Upon successful completion of this lesson, students will
- analyze a text by completing a graphic organizer that identifies an author’s use of evidence and rhetorical devices.
- evaluate the impact of these devices on the target audience.

A PowerPoint lesson is included

Author: Brandi Morley
Editor: Mary Landry, C. Anneke Snyder
Supervisor: Terri Pantuso

In this section, you will gain insights about privacy and confidentiality concerns related to a form of Generative Artificial Intelligence (GenAI) known as Large Language Models (LLMs) and, specifically, OpenAI’s policies about ChatGPT.

The full extent of privacy and confidentiality risks in relation to ChatGPT, which relies on collective intelligence for information gathering and dissemination, has not been fully realized. Users should be mindful of OpenAI’s terms of use, particularly as those terms are subject to change. Though OpenAI claims to not share private user information, the language around such statements is vague and contradictory, and there is a strong possibility that personal information may be monitored by human proctors. Moreover, educators who are bound to the legal obligations outlined in FERPA should be particularly concerned about how student privacy could be potentially violated by using ChatGPT and other GenAI technologies.

After reading this section, you should be able to articulate and discuss OpenAI’s significant terms of use and privacy policy, consider the potential privacy and intellectual property violations contained within the collective intelligence paradigm, and communicate your own concerns about privacy and confidentiality in relation to GenAI technologies.

Author: C. Anneke Snyder
Contributors: Gwendolyn Inocencio, Mary Landry, Jonahs Kneitly
Designers: Irene AI, Sweta Kailani
Supervisors: Terri Pantuso, Sarah LeMire