1, 2, 3 Write! provides step-by-step instruction to build college writing skills. It combines comprehensive grammar and mechanics review with sentence, paragraph and essay writing techniques and practice. Links to example essays from professional and student writers demonstrate the skills studied and provide reading and critical thinking opportunities.

This is volume 2 of a a two-part instructional text series for first-year composition students. Volume 2 is intended for students who have some college composition and rhetoric knowledge and experience.

College Writing II places an emphasis on expository writing as a means of analyzing and understanding texts.The four essay prompts provided are intended to support a composition course in which students learn to read critically and to draw on written sources to support their ideas. Each essay prompt builds from the previous. A unique grading rubric is provided with each essay prompt.After completing these assignments, students should be able to draft, revise, and edit texts in which they demonstrate the ability to understand and analyze a variety of texts; quote, paraphrase, and summarize print and/or online sources to support their ideas; and use standard procedures of citation and documentation.Photo by Dan Dimmock on Unsplash

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

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.

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

Welcome to composition and rhetoric! While most of you are taking this course because it is required, we hope that all of you will leave with more confidence in your reading, writing, researching, and speaking abilities as these are all elements of freshman composition. Many times, these elements are presented in excellent textbooks written by top scholars. While the collaborators of this particular textbook respect and value those textbooks available from publishers, we have been concerned with disenfranchising students who do not have the resources to purchase textbooks. Therefore, we decided to put together this Open Educational Resource (OER) explicitly for use in freshman composition courses at Texas A&M University. Thanks to a generous grant from Dean David Carlson of the Texas A&M University Libraries, this project became a reality. It is a collaborative endeavor undertaken by faculty in the libraries and English Department as part of the Provost’s Student Success Initiatives at Texas A&M and continues to be a work in progress. Combined, Dr. Terri Pantuso, Dr. Kathy Anders, and Prof. Sarah LeMire have over 30 years of experience in writing and research instruction. Our goal is for students to leave this course as critical thinkers, polished writers, and informed citizens who can engage in civil public discourse. Gig ‘em, Ags!

"This book acknowledges our changing information landscape, covering key concepts in information literacy to support a research process with intention. We start by critically examining the online environment many of us already engage with every day, looking at algorithms, the attention economy, information disorder and cynicism, information hygiene, and fact-checking. We then move into an exploration of information source types, meaningful research topics, keyword choices, effective search strategies, library resources, Web search considerations, the ethical use of information, and citation." From the Introduction.

This site includes samples of thesis statements for literary criticism essays, as well as thesis patterns that students can experiment with while practicing thesis statements.

This is an overview of how to use MLA citations for college papers. It is an introduction with examples of works cited and in-text citations.

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 peer review resource is part of the Digital Design for Student Success (D2S2) project, a collaboration between Texas Higher Education Coordinating Board (THECB), Rice University, Texas A & M University, and The University of Texas. Peer review materials are designed for use in any course that uses writing--particularly writing flag (writing intensive) courses in the undergraduate curriculum.

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

This folder contains assignments related to the researched position paper and annotated bibliography used at Texas A&M University for freshman composition.

This unit is for teaching a rhetorical visual analysis. It includes the assignment and peer review instructions, assessment rubrics, and a graphic organizer for workshopping the process. It is one way to assess for visual communication skills as required in the Texas Core Objectives. 

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.

Author: Mary Landry

By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the annotated bibliography writing process to

explore, evaluate, and refine a research question
brainstorm and determine effective search components and keywords
decipher complex ideas within academic articles

Additionally, you will critically reflect on ChatGPT’s place within the citation practices of an annotated bibliography. Specifically, you will consider why and how ChatGPT should be cited according to both MLA and APA.

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.

Author: Mary Landry

By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the evaluation essay writing process to

develop specific assessment criteria
maintain a professional, unbiased tone
articulate the sociohistorical context of a subject

Additionally, you will be able to identify specific limitations with using ChatGPT for an evaluation essay, including its limited ability to perform evaluations itself.