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Designed to cater to the needs of both novice and seasoned writing instructors, this book provides a range of practical and adaptable strategies for integrating generative artificial intelligence (AI) into English writing curricula. Generative AI in the English Composition Classroom proposes strategic methodologies to ensure that AI is utilized as a facilitator of learning and creativity, rather than as a shortcut to academic success. With a particular emphasis on sophisticated large language models such as Claude, ChatGPT, and Gemini, this book critically addresses potential challenges, including concerns related to academic integrity. It includes case studies and practical strategies to exemplify how AI can enhance the writing process while emphasizing the continuing importance of a solid foundation in writing structure, processes, and rhetorical strategies. These case studies and strategies are designed for immediate application, offering educators and students practical tools to effectively navigate AI-augmented writing environments. Finally, the book looks to the future, discussing the evolving skillsets required in the workforce and how educators can equip students for a future in which AI is an integral component. A forward-thinking and invaluable guide, this book will be of interest to educators involved in teaching English Composition and writing.
This book provides a theoretical framework to allow educators, researchers, and policymakers to better understand computer‐generated writing and the policy and pedagogical implications of generative AI. Generative AI, such as ChatGPT and Gemini, has substantially disrupted educational spaces, forcing educators, policymakers, and other stakeholders to reconsider writing and how it should be used in education. Responding to this disruption, this book provides technically sound guidance on how various stakeholders should engage with generative AI. After providing a foundational and technical discussion of the technology, this book directly addresses the educational context. Informed by theories of learning and knowledge transfer and utilizing rhetorical theories of writing, this book assesses the impact of AI on student learning, student performance, and academic honesty and integrity. In doing so, the book outlines how generative AI can be both a help and a hindrance for students, enabling readers to craft informed and meaningful policies and successfully integrate AI in the composition classroom. This book will be of interest to scholars in the fields of Rhetoric and Composition, Technical Writing, Communication Studies, Linguistics, and TESOL, as well as to Education and Machine Learning policymakers, program directors, and researchers.
The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists.
In an era marked by the rapid integration of Artificial Intelligence (AI) into our lives, the discourse surrounding its implications has intensified. The Role of Generative AI in the Communication Classroom is a pioneering book that delves into the multifaceted dimensions of AI, specifically focusing on OpenAI's revolutionary Chat Generative Pre-Trained Transformer (Chat GPT) and its profound influence on the landscape of communication education. This book navigates the intersection of technology, education, and ethics, shedding light on the imperative need for a collaborative approach to shape AI's evolution. AI's potential to reshape industries and human roles is undeniable. Rooted in the intricate workings of AI and its hallmark, Chat GPT, this book meticulously dissects the dynamic relationship between humans and machines. The discourse extends beyond technology and into the realm of education, asserting that the power to mold AI's trajectory cannot rest solely in the hands of developers. While revealing AI's transformative potential in the communication classroom, the book conscientiously explores ethical concerns and biases, fostering a balanced approach to its integration. This book is instrumental to the ongoing discourse on AI's role in education. The call for ethical considerations, inclusivity, and regulation serves as a guiding compass for educators, students, developers, and policymakers alike. The book ensures a holistic perspective on AI's integration by addressing privacy, citation, voice ownership, and overall digital ethics.
The author of the best-selling What the Best College Teachers Do is back with more humane, doable, and inspiring help, this time for students who want to get the most out of college—and every other educational enterprise, too. The first thing they should do? Think beyond the transcript. The creative, successful people profiled in this book—college graduates who went on to change the world we live in—aimed higher than straight A’s. They used their four years to cultivate habits of thought that would enable them to grow and adapt throughout their lives. Combining academic research on learning and motivation with insights drawn from interviews with people who have won Nobel Prizes, Emmys, fame, or the admiration of people in their field, Ken Bain identifies the key attitudes that distinguished the best college students from their peers. These individuals started out with the belief that intelligence and ability are expandable, not fixed. This led them to make connections across disciplines, to develop a “meta-cognitive” understanding of their own ways of thinking, and to find ways to negotiate ill-structured problems rather than simply looking for right answers. Intrinsically motivated by their own sense of purpose, they were not demoralized by failure nor overly impressed with conventional notions of success. These movers and shakers didn’t achieve success by making success their goal. For them, it was a byproduct of following their intellectual curiosity, solving useful problems, and taking risks in order to learn and grow.
Technology is integral to teaching in the English language arts, whether in-person, hybrid, or remote. In this indispensable guide, Troy Hicks shows how to teach and model "digital diligence"--an alert, intentional stance that helps both teachers and students use technology productively, ethically, and responsibly. Resources and lesson ideas are presented to build adolescents' skills for protecting online privacy, minimizing digital distraction, breaking through “filter bubbles,” fostering civil conversations, evaluating information on the internet, creating meaningful digital writing, and deeply engaging with multimedia texts. Dozens of websites, apps, and other tools are reviewed, with links provided at the companion website; end-of-chapter teaching points and guiding questions facilitate learning and application.
Artificial Intelligence, or AI, has seemingly burst into public consciousness with sudden vigor. Previously relinquished to computer science journals, it erupted as the unrelenting topic of public media with most of the furor surrounding chatbots, like ChatGPT. Although many educators began worrying about the implications of AI in student learning and creative activity, this book will demonstrate that AI can be harnessed as a source of inspiration and meaningful instruction. With an emphasis on useful classroom strategies as well as a consideration of the ethics of AI, this book seeks to start a conversation in this nascent area of research and practice. The primary focus is on the use of AI in the secondary English classroom, but educators in other disciplines will find plenty of ideas and information.
Essential Actions for Academic Writers is a writing textbook for all novice academic students, undergraduate or graduate, to help them understand how to write effectively throughout their academic and professional careers. While these novice writers may use English as a second or additional language, this book is also intended for students who have done little writing in their prior education or who are not yet confident in their academic writing. Essential Actions combines genre research, proven pedagogical practices, and short readings to help students develop their rhetorical flexibility by exploring and practicing the key actions that will appear in academic assignments, such as explaining, summarizing, synthesizing, and arguing. Part I introduces students to rhetorical situation, genre, register, source use, and a framework for understanding how to approach any new writing task. The genre approach recognizes that all writing responds to a context that includes the writer's identity, the reader's expectations, the purpose of the text, and the conventions that shape it. Part II explores each essential action and provides examples of the genres and language that support it. Part III leads students in combining the actions in different genres and contexts, culminating in the project of writing a personal statement for a university or scholarship application.
Many educators in the realm of higher education face the critical challenge of fostering creativity in students using traditional teaching methods. In today's rapidly evolving world, these methods have become inadequate to nurture the innovative thinking demanded by modern society. Impacts of Generative AI on Creativity in Higher Education reveals a solution in the integration of generative AI into higher education. To revolutionize how we nurture and harness student creativity, the book explores the intersection of creativity, generative AI, and higher education with a fresh perspective and practical guidance for educators and institutions. It delves into the fundamental concepts of generative AI and its potential applications, providing educators with the tools to create more engaging and innovative learning environments.
"A Linguistically Inclusive Approach to Grading Writing: A Practical Guide provides concrete tools for college writing instructors to improve their grading and feedback practices to benefit all student writers. A linguistically inclusive grading approach honors Black linguistic justice, facilitates students' use of feedback, and guides students to make rhetorical linguistic choices. The existing literature addresses inclusive writing assessment from a programmatic and class policy level (e.g., Inoue, 2015; Perryman-Clark, 2012). Meanwhile, this book provides models of actual comments on student writing to help instructors develop the necessary skills to incorporate inclusive assessment and feedback into their everyday practice. The book details how to respond to organization, word choice, grammar, and mechanics rooted in African American English and other language varieties. A linguistically inclusive approach to grading writing will benefit instructors across contexts - including instructors who teach online, teach high-achieving students, or use contract grading. The book's example comments and practices can also be implemented by instructors constrained by mandated grade weighting or rubrics that preclude adopting more extensive changes. A linguistically inclusive grading approach is grounded in theory and research across education, composition, and sociolinguistics"--