The illustration shows a four-quadrant chart with two axes: simple/complex thinking, and simple/complex expression.
Inexperienced writers often confuse “simple thinking/complex writing” with “complex thinking/complex writing” because they are unfamiliar with the jargon and conventions of subject matter experts. In their efforts to mimic the voice of experts, they may attempt to “sound sophisticated” by adopting an unnecessarily opaque style.

Why Don’t Students Use Plain Language?

This article provides a conceptual framework to help you understand how to present your ideas effectively, avoiding unnecessary complexity while conveying deep insights clearly. It introduces a four-quadrant chart that illustrates the relationship between the complexity of your thinking and the clarity of your writing. The chart distinguishes between complex and simple thinking paired with either complex or simple expression.

Baseball payers argue with one another as well as the ref.
“Argument” by andrewmalone, CC BY 2.0.

Counterarguments – Rebuttal – Refutation

Ignoring what your target audience thinks and feels about your argument isn’t a recipe for success. Instead, engage in audience analysis: ask yourself, “How is your target audience likely to respond to your propositions? What counterarguments — arguments about your argument — will your target audience likely raise before considering your propositions?”

In The Coming Wave, Suleyman and Bhaskar (2023) argue that advanced technologies like AI and bioengineering are unleashing a “wave” of transformation that cannot be stopped or fully contained. The challenge, they say, is not to hold back the wave but to learn to steer and contain its most dangerous consequences. In writing studies, we worry about the coming wave—the coming tsunami. We worry that humans will lose agency as GenAI reduces the economic value of human writing. Because our catechism affirms that writing is thinking, that writing is a powerful way of learning, and because of longstanding scholarly conversations about the “law of less work” (Hull, 1943; David, Vassena, & Bijleveld, 2024), we fear this wave will diminish human agency. As Ong (2002) reminds us, without literacy, cultures revert to oral modes of communication. We can imagine superintelligent machines speaking in Neuralese and exploring the universe, while most of humankind—those who shirk the work of being knowledge workers—will be left huddled around campfires telling stories of days gone by.
In The Coming Wave, Suleyman (2023) argues that advanced technologies like AI and bioengineering are unleashing a “wave” of transformation that cannot be stopped or fully contained. Suleyman warns that this convergence brings genuine risks even before extraordinary opportunities, from economic disruption and mass job loss to empowering bad actors with bioengineering and cyber-weapons, from loss of control over increasingly capable systems to the fundamental problem of containment. They argue that humanity’s innate drive to learn, experiment, and push boundaries—also known as “the Oppenheimer problem”—makes slowing progress nearly impossible, even when the stakes are existential. This matters deeply for higher education and writing studies, which must grapple with how GenAI undermines the economic incentives for human writing, enables the appropriation of intellectual property at scale, and collapses reading itself, as students and researchers increasingly rely on AI-generated summaries and filtered answers instead of engaging with primary and secondary sources. In writing studies, we worry about the coming wave—the coming tsunami. We fear that as GenAI reduces the economic value of human writing, humans will lose agency and incentive to write. From the learning sciences, we know about the “law of less work.” We see it in our own habits, and it was first formalized by Hull (1943), who showed that when people have a choice, they tend to select the path that requires less cognitive effort. Recent meta-analytic work by David, Vassena, and Bijleveld (2024) confirms this consistent link between mental effort and negative affect, demonstrating that people often avoid sustained thinking when easier options are available. Emerging research on GenAI use reflects this pattern: studies show that reliance on AI tools is associated with reductions in critical thinking, accuracy, cognitive effort, and users’ sense of ownership over their writing (Lee et al., 2025; Ward et al., 2024; Kosmyna et al., 2025). Experimental studies find that students often use these tools to shortcut reasoning processes, replacing close reading and argument development with AI-generated summaries and answers. The AI 2027 scenario warns of a future in which users turn reflexively to AI for planning, research, and decision-making—risking a profound atrophy of human analytical skills (Kokotajlo et al., 2025). As Ong (2002) reminds us, without literacy, cultures revert to oral modes of communication. But returning to orality would mean losing the tools of extended reasoning, critical analysis, and shared, revisable knowledge that writing makes possible. It risks narrowing our capacity to think deeply, argue carefully, and build on others’ ideas over time. We can imagine superintelligent machines speaking in Neuralese and exploring the universe, while most of humankind—those who avoid the work of being knowledge workers—sit around campfires telling stories of days gone by.

Writing with AI – Introduction to the Course

Explore how generative AI (GenAI) is reshaping creativity, authorship, composing, learning, copyright, and work—and what these changes mean for human agency.

This course introduces you to the writing and design technologies transforming contemporary knowledge work. Adopting a case-study approach, it asks how GenAI alters how we think, write, and learn—and how colleges and universities should respond. You’ll act as a researcher on an eleven-member university team led by Dean Stacy Adams, the university’s AI Czar. Together, we’ll contribute to Navigating AI Disruption: A Guide for the University Community, a collaborative resource on AI policy and practice.

Across a series of interrelated projects, you will examine how technologies of writing—from cuneiform tablets to ChatGPT—shape human thought and culture. You’ll begin by studying Walter Ong’s Orality and Literacy and Jay David Bolter’s Writing Space to understand writing as a technology that reorganizes consciousness and social relations. Building on that foundation, you’ll investigate how GenAI affects authorship, learning, and academic integrity through research, interviews, and policy writing. Later projects ask you to experiment directly with GenAI tools, conducting an autoethnographic study that measures how these systems influence your agency and critical thinking. You’ll also evaluate how artificial general and superintelligence may transform the future of work, synthesizing research from McKinsey, the World Economic Forum, and leading scholars in AI and ethics.By the end of the semester, you’ll be able to use GenAI ethically and rhetorically—to collaborate, design, and compose without outsourcing your judgment or creativity. Writing With AI prepares you to think critically and act strategically in a rapidly changing world where human insight remains our most valuable technology.

As these three students navigate their research, unexpected triggers may arise, shedding light on the intricate relationship between reading, trauma, and learning.
“Students Reading” by AUM OER, CC BY 2.0.

Reading and Disruptive Emotions

This article examines the relationship between reading and emotional response. It addresses the emotions reading can provoke, identifies potential emotional triggers, and suggests practical strategies for managing emotional responses, like mindfulness and emotional regulation. Learn to identify, manage, and strategically respond to emotions stirred by reading in both personal and academic contexts.

Pic of Malala_Yousafzai
Malala Yousafzai exemplifies the power of rhetorical listening and courageous action. By recognizing the cultural logics at play and breaking the silence, she advocated for girls’ education in Pakistan, ultimately leading to transformative global change and her Nobel Peace Prize. Credit: Photo by FlowComm CC BY 2.0

Rhetorical Listening – The Importance of Breaking the Silence When It Matters

This article examines rhetorical listening as a vital strategy for fostering understanding and bridging cultural and social divides. It explores how rhetorical listening encourages openness, empathy, and accountability, empowering individuals to navigate differences and cultivate meaningful dialogue. By highlighting examples like Malala Yousafzai’s courageous advocacy, the article demonstrates how rhetorical listening can inspire impactful change, improve communication, and enhance critical thinking in personal, academic, and professional contexts.

Student engrossed in reading on her laptop, surrounded by a stack of books
“Academic Writing” by AUM OER, CC BY 2.0

Academic Writing – How to Write for the Academic Community

Academic writing refers to the writing style that researchers, educators, and students use in scholarly publications and school assignments. An academic writing style refers to the semantic and textual features that characterize academic writing and distinguish it from other discourses, such as professional writing, workplace writing, fiction, or creative nonfiction. Learn about the discourse conventions of the academic community so you can write with greater authority, clarity, and persuasiveness (and, in school settings, earn higher grades!).  

“Professional Writing” by Internet Freedom Fellows, CC BY-ND 2.0.

Professional Writing – How to Write for the Professional World – Guide to Professional and Business Communication

Professional writing is fundamentally transactional: usually if you are writing it is because you are trying to solve some kind of a problem. Your audience — the people you are writing to — probably need to do something in response to your writing. They may not be expecting your writing. They probably don’t want to read your writing. Your writing is interrupting their day. So, if you’re gonna bother them you need to make it worth their time. Learn about the style of writing that characterizes the texts of professional writers in workplace writing contexts. Master the discourse conventions of professional communities of practice.

an illustration of a scale. "Opinion" is being weighed on the left side of the scale. "Facts & Research" are being depicted on the right side. It's clear from the illustration that "facts & research" weigh more than "opinion."
In this illustration, “opinion” weighs more than “facts and evidence.” While in academic and professional writing, facts and research typically outweigh opinion in terms of credibility and authority, this dynamic can shift in rhetorical situations where emotional filtering and information bias come into play. In such contexts, individuals may prioritize opinions that align with their beliefs over objective facts. Crafting truly authoritative texts requires more than just presenting data; it involves skillfully integrating evidence, acknowledging diverse perspectives, and demonstrating a nuanced understanding of the subject matter. Effective writers balance factual information with insightful analysis, creating work that is both well-supported and intellectually engaging, even in environments where opinion may carry more weight than facts.

Credibility and Authorial Authority – How to Develop Readers’ Trust and Respect

If your listeners or readers think your communications lack credibility (aka authorial authority), then they are less likely to listen or read your work. This article defines the textual attributes of authoritative discourse. Learn how to communicate in ways that enhance your authority and persuasiveness.

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