Writing Pedagogy and AI Use: A Mixed-Method Proposal for Applied Inquiry

The integration of generative AI into composition and writing is altering our conceptualizations of writing pedagogy and teaching practice. It is also possible that generative AI is altering instructors’ established beliefs about writing instruction and their perceived ability to teach effectively in this rapidly evolving AI landscape. As clinical educators (e.g., counselor educators, health service psychology educators, social work educators, marriage and family therapy educators) grapple with this technological shift, their self-efficacy in teaching writing within their respective clinical disciplines—their belief in their ability to effectively guide students through the writing process—may be significantly influenced by their underlying motivational constructs, including their implicit writing beliefs, academic writing self-efficacy, and affective responses to the use of AI in writing instruction.

For this class project, I have taken on the ambitious attempt to conceptualize and orchestrate a formal mixed-method study of original data collection. This study aims to explore the factors influencing clinical educators’ self-efficacy in integrating generative AI into their writing instruction. Using a mixed-methods approach, I plan to examine how implicit writing beliefs (transmissional vs. transactional), academic writing self-efficacy, and affective attitudes toward writing correlate with and predict self-efficacy in teaching with generative AI. A convergent parallel design will be employed, allowing for simultaneous collection and analysis of quantitative and qualitative data to provide a comprehensive understanding of instructor self-efficacy. It will also allow me some flexibility in completing this class project, as it’s possible that I may not have sufficient quantitative data to report on by the time the project is due. But, I may have some preliminary quantitative and qualitative data to report on.

The quantitative methods strand will focus on measuring clinical educators’ writing-related beliefs, self-efficacy, and attitudes toward AI-assisted writing instruction. Participants will include clinical educators currently teaching in academic settings. Data will be collected using validated scales assessing implicit writing beliefs, academic writing self-efficacy, affective attitudes toward AI, and self-efficacy in teaching writing with AI. Understanding these relationships is critical for developing effective faculty training and support systems as AI-driven writing tools become more prevalent in higher education.

The qualitative strand will explore clinical educators’ experiences with AI in writing instruction through semi-structured interviews. Participants will include clinical educators actively engaged in teaching writing or integrating AI-based tools into their instruction. The interview protocol will investigate their perspectives on AI’s role in writing pedagogy, perceived challenges and benefits, and the influence of writing beliefs on their instructional approaches. A small demographic survey and short-answer prompts will supplement the qualitative analysis, helping contextualize participants’ experiences. Qualitative thematic analysis will be used for coding qualitative data, while quantitative results will be integrated to enhance interpretation. Participants and AI-writing pedagogy experts will be invited to provide feedback throughout the research process.

The following research questions will guide this study:

  • RQ1: How do clinical educators’ implicit writing beliefs, academic writing self-efficacy, and attitudes toward AI predict their self-efficacy in teaching writing with generative AI?
  • RQ2: How do clinical educators perceive the role of generative AI in writing instruction, and what factors shape their integration of AI tools?
  • RQ3: How do writing beliefs influence instructors’ openness to AI-based writing tools?
  • RQ4: How do faculty training needs and professional development opportunities impact self-efficacy in AI-assisted writing instruction?

Some “Deep Editorial Learning” with Deep Seek

As part of my master’s thesis, I am interested in further exploring the rhetorical dimensions of contemporary editing, particularly as it relates to academic writing and publishing. Many academics who function as associate editors, action editors, and editors-in-chief for academic journals receive little formal training for these roles. While they may not necessarily require extensive training, editing remains an important element in the writing and publishing process. Most likely learn how to edit through their own experiences of writing, publishing, and responding to reviewer and editorial feedback. Yet, it is the editor who is responsible for the knowledge generated in that journal—and in many instances—vital to ensuring it maintains regard and esteem, often measured by impact factor. Thus, I decided to examine what it would be like if I asked generative AI to create online learning modules for editing. In an effort to explore new technology, I opted to use DeepSeek for this experiment. I am less familiar with this platform, although it functions similarly to ChatGPT.

My Prompt: “I want you to be an expert in editing/developmental editing/copyediting. You worked previously as the editor-in-chief for the nonfiction division of Random House Publishing in the United States. Develop online modules (with clear goals/aims; learning objectives, specific content to read, and practice exercices) aimed at training current academics in editing. These academics have PhDs in humanities and social science disciplines, but know nothing about industry standards when it comes to editing other than what they’ve learned in higher education. Shape these online modules to help them become competent and skilled in professional editing with the intention that they may seek positions at publishing houses as editors.”

Deep Seek Output is Below:


Certainly! Below is a structured outline for a series of online modules designed to train academics in professional editing. These modules are tailored to PhD holders in humanities and social sciences, focusing on industry standards, practical skills, and the transition from academic writing to professional editing. Each module includes clear goals, learning objectives, specific content, and practice exercises.

Module 1: Introduction to Professional Editing

Goals:

  • Understand the role of an editor in the publishing industry.
  • Learn the differences between academic writing and professional editing.
  • Familiarize yourself with industry standards and workflows.

Learning Objectives:
By the end of this module, participants will:

  1. Define the key types of editing (developmental, line editing, copyediting, and proofreading).
  2. Identify the differences between academic and professional writing styles.
  3. Recognize the importance of audience, tone, and clarity in professional editing.

Content to Read:

  • “What Editors Do: The Art, Craft, and Business of Book Editing” by Peter Ginna (selected chapters).
  • “The Chicago Manual of Style” (Introduction and Chapter 1: The Publishing Process).
  • Article: “The Role of an Editor in Traditional Publishing” (provided as a PDF).

Practice Exercises:

  1. Compare an academic journal article with a trade nonfiction book chapter. Write a 300-word analysis of the differences in tone, structure, and audience.
  2. Edit a 500-word excerpt from an academic paper to make it suitable for a general audience. Focus on simplifying jargon and improving readability.

Module 2: Developmental Editing

Goals:

  • Learn how to assess and improve the structure, argument, and narrative flow of a manuscript.
  • Develop skills to provide constructive feedback to authors.

Learning Objectives:
By the end of this module, participants will:

  1. Understand the purpose of developmental editing and its role in shaping a manuscript.
  2. Identify common structural issues in manuscripts (e.g., weak arguments, poor pacing, unclear themes).
  3. Write an editorial report that provides actionable feedback to authors.

Content to Read:

  • “Developmental Editing: A Handbook for Freelancers, Authors, and Publishers” by Scott Norton.
  • “The Artful Edit: On the Practice of Editing Yourself” by Susan Bell (selected chapters).
  • Case study: Before-and-after examples of developmental edits on a nonfiction manuscript.

Practice Exercises:

  1. Analyze a sample manuscript (provided) and write a 500-word editorial report identifying its strengths, weaknesses, and suggestions for improvement.
  2. Rewrite the introduction of a poorly structured academic paper to improve its narrative flow and engagement.

Module 3: Copyediting and Style Guides

Goals:

  • Master the mechanics of copyediting, including grammar, punctuation, and consistency.
  • Learn to use industry-standard style guides (e.g., Chicago Manual of Style, APA, MLA).

Learning Objectives:
By the end of this module, participants will:

  1. Apply the rules of grammar, punctuation, and syntax to edit a manuscript.
  2. Use style guides to ensure consistency in spelling, capitalization, and formatting.
  3. Understand the difference between copyediting and proofreading.

Content to Read:

  • “The Copyeditor’s Handbook” by Amy Einsohn and Marilyn Schwartz.
  • “The Chicago Manual of Style” (Chapters on grammar and punctuation).
  • Handout: Common copyediting mistakes and how to fix them.

Practice Exercises:

  1. Copyedit a 1,000-word excerpt from a manuscript (provided), marking up changes using Track Changes in Word or commenting in Google Docs.
  2. Compare two style guides (e.g., Chicago vs. APA) and write a 300-word summary of their key differences.

Module 4: Working with Authors and Managing Projects

Goals:

  • Develop interpersonal skills for working with authors and managing editorial projects.
  • Learn how to handle sensitive feedback and maintain professional relationships.

Learning Objectives:
By the end of this module, participants will:

  1. Understand the editor-author relationship and how to communicate effectively.
  2. Learn strategies for managing multiple projects and meeting deadlines.
  3. Practice giving constructive feedback without undermining the author’s voice.

Content to Read:

  • “Editor-Author Relationships: A Guide to Best Practices” (provided as a PDF).
  • “The Freelance Editor’s Handbook” by Suzy Bills (selected chapters).
  • Article: “How to Give Feedback That Authors Will Actually Use” (provided as a PDF).

Practice Exercises:

  1. Role-play: Write an email to an author explaining the need for significant revisions to their manuscript. Focus on tone and clarity.
  2. Create a project timeline for editing a 300-page manuscript, including milestones for developmental editing, copyediting, and proofreading.

Module 5: The Business of Editing

Goals:

  • Understand the business side of editing, including freelancing, contracts, and rates.
  • Learn how to market yourself as an editor and find clients.

Learning Objectives:
By the end of this module, participants will:

  1. Understand the different career paths in editing (in-house vs. freelance).
  2. Learn how to set rates, draft contracts, and negotiate with clients.
  3. Develop a personal brand and marketing strategy as an editor.

Content to Read:

  • “The Business of Editing: A Guide for Freelancers” by Richard H. Adin.
  • “Your Guide to Freelance Editing” by the Editorial Freelancers Association (provided as a PDF).
  • Article: “How to Build a Portfolio and Attract Clients” (provided as a PDF).

Practice Exercises:

  1. Draft a sample contract for a freelance editing project, including scope of work, deadlines, and payment terms.
  2. Create a LinkedIn profile or personal website showcasing your editing skills and experience.

Module 6: Advanced Editing Techniques

Goals:

  • Refine your editing skills and tackle complex editorial challenges.
  • Learn how to edit for specific genres and formats (e.g., memoirs, academic trade books).

Learning Objectives:
By the end of this module, participants will:

  1. Edit manuscripts with complex narrative structures or specialized content.
  2. Adapt your editing approach for different genres and formats.
  3. Develop a critical eye for detail and consistency.

Content to Read:

  • “On Editing: How to Edit Your Novel Like a Pro” by Helen Corner-Bryant and Kathryn Price.
  • “Editing for Sensitivity, Diversity, and Inclusion” (provided as a PDF).
  • Case study: Editing a memoir vs. editing a scholarly monograph.

Practice Exercises:

  1. Edit a 1,000-word excerpt from a memoir, focusing on voice, tone, and emotional impact.
  2. Compare two genres (e.g., academic trade book vs. popular nonfiction) and write a 300-word analysis of how editing approaches differ.

Final Project: Capstone Editing Assignment

Goals:

  • Apply all the skills learned in the course to a real-world editing project.
  • Receive feedback from peers and instructors to refine your skills.

Learning Objectives:
By the end of this module, participants will:

  1. Complete a full edit of a 5,000-word manuscript, including developmental and copyediting.
  2. Write an editorial report summarizing your changes and recommendations.
  3. Reflect on your growth as an editor and identify areas for further development.

Practice Exercises:

  1. Edit a 5,000-word manuscript (provided) and submit your marked-up version along with an editorial report.
  2. Participate in a peer review session, providing and receiving feedback on edited manuscripts.

Follow-up prompt: “So as to make sure you did not hallucinate and make up the content to read, please provide me the links to where I can access the content to read to ensure the validity of the reading materials.”


Unfortunately, I cannot provide direct links to copyrighted materials such as books like “The Copyeditor’s Handbook” or “The Chicago Manual of Style” because they are proprietary and require purchase or access through a library or subscription service. However, I can guide you on where to find these resources and suggest alternative free or open-access materials where available. Here’s how you can access the recommended content:

1. Books to Purchase or Borro

  • “What Editors Do: The Art, Craft, and Business of Book Editing” by Peter Ginna
    Available on Amazon or through local bookstores.
    Also check if your local library has a copy or can request it through interlibrary loan.
  • “The Copyeditor’s Handbook” by Amy Einsohn and Marilyn Schwartz
    Available on Amazon or Penguin Random House.
    Many university libraries also carry this book.
  • “The Chicago Manual of Style
    Available for purchase or subscription at Chicago Manual of Style Online.
    Many universities and libraries provide free access to their students or members.
  • “Developmental Editing: A Handbook for Freelancers, Authors, and Publishers” by Scott Norton
    Available on Amazon or through University of Chicago Press.
  • “The Freelance Editor’s Handbook” by Suzy Bills
    Available on Amazon or through University of Chicago Press.

2. Free or Open-Access Resources

  • Editorial Freelancers Association (EFA)
    The EFA website offers free resources and guides for freelance editors:
    EFA Resources
  • Purdue Online Writing Lab (OWL)
    A free resource for grammar, style, and editing tips:
    Purdue OWL
  • The Open Textbook Library
    Offers free, peer-reviewed textbooks on writing and editing:
    Open Textbook Library
  • SfEP (Society for Editors and Proofreaders) Blog
    Offers free articles and tips on editing:
    SfEP Blog

3. Articles and Handouts

For the articles and handouts mentioned in the modules (e.g., “The Role of an Editor in Traditional Publishing” or “How to Give Feedback That Authors Will Actually Use”), you can search for similar topics on:


4. Libraries and Institutional Access

  • If you are affiliated with a university, check your library’s database for access to books, journals, and style guides.
  • Public libraries often provide free access to e-books and databases like OverDrive or Libby.

5. Alternative Free Resources

If purchasing books is not feasible, here are some free alternatives to get started:


Initial Impressions

I was impressed that DeepSeek provided substantive content without “hallucinating” its reading material. I could verify the books and sources written by actual people, though content without an associated author proved to be nonexistent. The curriculum DeepSeek developed was thorough and logical, requiring no further prompting. It effectively developed and mapped out a comprehensive curriculum structure. To validate the quality and accuracy of this curriculum, I would need to consult with an experienced editor who has formal training to corroborate whether this curriculum accurately reflects the editing profession’s requirements and best practices. Also, I could easily modify and adopt this outline in self-learning how to do editing better.

Exploring Argumentation Frameworks and Protocols Through Generative AI

After reading several blog posts from classmates, I took the opportunity to go a different route for this week’s experimentation. Whereas the dialectical exchange is an engaging way to interact with ChatGPT, I’m not a paying subscriber so I can be constrained by how much dialogue I am able to engage in with ChatGPT. So, alternatively, I instructed ChatGPT to develop an argumentative thinking protocol specifically designed for applications in the social sciences and education fields. ChatGPT provided a coherent and comprehensive protocol, incorporating many elements I regularly find in social science and education scholarship.

ChatGPT Output # 1

Argumentative Thinking Protocol for Social Science and Education

I. Identifying the Argumentative Situation

  1. Context & Issue Definition
    • What is the central issue being debated?
    • What is its significance in the field of social science or education?
    • Who are the key stakeholders?
  2. Nature of the Controversy
    • Is this an empirical, conceptual, or policy-based argument?
    • What historical, cultural, or disciplinary factors shape the discussion?
  3. Relevance & Scope
    • How does this issue impact research, practice, or policy?
    • What are the social, political, or ethical implications?

II. Establishing Your Position

  1. Claim Development
    • What is your main argument or thesis?
    • What theoretical or conceptual frameworks support your stance?
  2. Grounding in Evidence
    • What empirical studies, data, or theoretical perspectives substantiate your claim?
    • Are your sources credible, peer-reviewed, and methodologically sound?
  3. Value & Assumption Analysis
    • What underlying assumptions shape your argument?
    • Are there potential biases in your reasoning or sources?
    • How does your perspective align with or challenge dominant paradigms in the field?

III. Engaging with Counterarguments

  1. Identifying Opposing Views
    • What are the strongest counterarguments to your position?
    • Who are the key scholars, policymakers, or practitioners advocating alternative perspectives?
  2. Evaluating Counterarguments
    • What evidence supports opposing claims?
    • Are these counterarguments based on empirical data, theoretical reasoning, or ideological positions?
    • Are there logical fallacies or methodological weaknesses in their reasoning?
  3. Refutation or Synthesis
    • Will you directly refute counterarguments, or can you integrate elements of them into a more nuanced perspective?
    • How can your argument acknowledge complexity while maintaining a clear stance?

IV. Structuring the Argument

  1. Logical Organization
  • Does your argument follow a coherent structure (e.g., Toulmin model, classical argumentation, problem-solution)?
  • Are claims, evidence, counterarguments, and conclusions logically ordered?
  1. Rhetorical Considerations
  • Who is your intended audience (scholars, policymakers, practitioners, the public)?
  • What tone, language, and level of technicality are appropriate for engagement?
  • Are you appealing to ethos (credibility), logos (logic), and pathos (emotional resonance)?

V. Ethical and Reflexive Considerations

  1. Ethical Responsibility
  • Have you fairly represented diverse perspectives?
  • Have you avoided misrepresentation, cherry-picking evidence, or overstating conclusions?
  • Have you considered the ethical implications of your argument’s application in practice?
  1. Reflexivity & Revision
  • How does your own background, biases, or disciplinary training shape your argument?
  • Have you revised your argument in response to new evidence or feedback?

Whereas the protocol has all the classic elements of structuring arguments, I will admit that I was not expecting it to bring up ethics and reflexivity. Not that it is entirely uncommon to think about ethics in social sciences and education, but that it is a rather nuanced and advanced topic of discussion in social science and education practices. I also didn’t think of it at the time, and so I’m glad ChatGPT did.

I then prompted ChatGPT to compare its framework with two classical argumentation models: Toulmin’s Model of Argument and Roger’s Framework. Interestingly, ChatGPT articulated a compelling case its own protocol in relation to social scienced and education. It first critiqued Toulmin, as I introduced Toulmin first into the conversation.

–ChatGPT Output

The Argumentative Thinking Protocol I proposed aligns closely with Toulmin’s system of argumentation, but it expands on Toulmin’s model by incorporating elements specific to social science and education discourse, such as theoretical grounding, ethical reflexivity, and audience consideration.

Key Enhancements Over Toulmin’s System

  1. Disciplinary Adaptation: The Protocol incorporates theoretical and conceptual grounding, essential for social science and education fields.
  2. Methodological Reflexivity: The Protocol ensures scholars critically evaluate their sources, paradigms, and biases rather than assuming objectivity.
  3. Ethical Responsibility: Unlike Toulmin’s model, the Protocol explicitly requires scholars to reflect on fair representation, audience impact, and unintended consequences.
  4. Integration Rather Than Pure Rebuttal: Instead of treating counterarguments as obstacles to overcome, the Protocol encourages synthesis and engagement with complexity

ChatGPT also, unprompted, provided a chart to compare Toulmin’s system to its own argumentative thinking protocol. It also, unprompted, preferred its own protocol to Toulmin’s in relation to social sciences and education. ChatGPT concluded by stating:

While Toulmin’s system remains a strong foundation for argumentation, the Argumentative Thinking Protocol refines it by integrating disciplinary specificity, methodological awareness, and ethical reflexivity, making it a more nuanced tool for academic argumentation in social science and education.”

Chat GPT Output # 2

Comparison of Toulmin’s System and the Argumentative Thinking Protocol

Toulmin SystemArgumentative Thinking ProtocolComparison & Enhancements
Claim (Position)Claim DevelopmentBoth emphasize the need for a clear thesis or argument. The Protocol adds a theoretical/conceptual foundation, acknowledging the role of paradigms in social sciences.
Stated Reasons (Supporting claims)Grounding in EvidenceBoth require supporting reasons, but the Protocol explicitly distinguishes empirical, conceptual, and policy-based arguments, making it more adaptable to social sciences.
Grounds (Evidence)Grounding in Evidence & Engaging with CounterargumentsBoth stress evidence-based reasoning, but the Protocol asks scholars to examine their sources’ credibility, methodological soundness, and disciplinary biases.
Warrant (Unstated assumption)Value & Assumption AnalysisBoth address underlying assumptions, but the Protocol expands on this by encouraging scholars to reflect on biases, dominant paradigms, and implicit ideological positions.
Backing (Support for the warrant)Backing is incorporated throughoutThe Protocol integrates backing into theoretical frameworks, empirical support, and ethical reflection, emphasizing the necessity of building audience trust through transparency.
Counterargument & RebuttalEngaging with CounterargumentsThe Protocol systematically analyzes counterarguments, addressing empirical weaknesses, logical fallacies, and integrative synthesis, whereas Toulmin primarily focuses on refutation.
Audience Consideration (Implied)Rhetorical ConsiderationsThe Protocol explicitly addresses tone, technicality, ethos, pathos, and logos, making it more tailored for academic and policy discourse.
Implicit Ethical ConcernsEthical & Reflexive ConsiderationsThe Protocol introduces an ethical lens, ensuring scholars acknowledge potential misrepresentation, cherry-picking, and unintended implications of their arguments.

I then inquired about considering Roger’s framework of argumentation. Perhaps it adopted some of the Rogerian tone because it did not take on a preferred perspective as it did when discussing Toulmin. Rather, it stated that “the Rogerian perspective introduces a more empathetic and cooperative approach to argumentation, particularly useful in highly polarized or emotionally charged social science and education debates.”

ChatGPT, again unprompted, presented a table that now compared the three proposed ways of argumentation.

Chat GPT Output # 3

Comparison of Toulmin, Argumentative Thinking Protocol, and Rogerian Argumentation

Toulmin SystemArgumentative Thinking ProtocolRogerian ArgumentationComparison & Integrations
Claim (Position)Claim DevelopmentCompromise-Oriented ClaimToulmin and the Protocol focus on asserting a position, while Rogerian argumentation frames the claim in a way that acknowledges the opposition’s concerns.
Stated Reasons (Supporting claims)Grounding in EvidenceAreas of AgreementRogerian argumentation shifts from direct persuasion to bridge-building, ensuring that evidence is framed in a way that resonates with the audience.
Grounds (Evidence)Grounding in Evidence & Engaging with CounterargumentsEmpathetic Presentation of Audience’s EvidenceWhile Toulmin and the Protocol emphasize factual rigor, Rogerian argumentation requires careful framing to avoid alienating resistant audiences.
Warrant (Unstated assumption)Value & Assumption AnalysisMutual Understanding of ValuesThe Protocol and Rogerian argumentation both explore underlying assumptions, but Rogerian logic seeks shared values rather than just exposing biases.
Backing (Support for the warrant)Integrated Theoretical & Ethical JustificationEmotional & Ethical FramingRogerian argumentation prioritizes ethical and emotional appeals, aligning with the Protocol’s ethical considerations but going further in emphasizing audience emotional response.
Counterargument & RebuttalEngaging with Counterarguments (Refutation or Synthesis)Demonstrating Understanding of Opposing Viewpoints Before Stating Your OwnToulmin and the Protocol allow for rebuttal, whereas Rogerian argumentation requires active acknowledgment and validation of opposing views before presenting one’s own stance.
Audience Consideration (Implied)Rhetorical ConsiderationsDirect Audience Empathy & Emotional ManagementThe Protocol acknowledges audience dynamics, but Rogerian argumentation takes it further by framing the argument in a way that soothes opposition rather than challenging it directly.
Implicit Ethical ConcernsEthical & Reflexive ConsiderationsConflict Resolution & Relationship BuildingThe Protocol focuses on intellectual integrity, whereas Rogerian argumentation prioritizes relationship-building to reduce resistance and foster cooperation.

It is important to also note that ChatGPT took it upon itself to also offer a synthesized approach to the three frameworks that were already discussed.

— ChatGPT Output–

Final Thoughts: A Synthesized Approach

If we were to merge the strengths of all three models, we might approach an argumentative situation in social science and education by:

  1. Using Toulmin to establish a logically sound foundation with strong claims, reasons, and evidence.
  2. Applying the Argumentative Thinking Protocol to ensure critical engagement, methodological rigor, and ethical responsibility in developing the argument.
  3. Incorporating Rogerian Strategies when addressing resistant audiences, ensuring that opposing views are fairly summarized before presenting one’s own perspective and seeking collaborative solutions.

This hybrid approach would allow scholars to be both rigorous and relational, balancing intellectual argumentation with emotional and ethical engagement to advance meaningful discourse in social science and education.

At this point, I opted to test the protocol’s effectiveness by applying it to a controversial topic in counseling: Is the Harm Reduction treatment model (such as controlled drinking) a valid alternative to abstinence in substance use counseling?  I instructed ChatGPT to apply all three models employed its argumentative framework to analyze this complex issue.

The outlines provided clearly demonstrated how the all three models (e.g., Toulmin, Rogers, AI-generated protocol) could effectively structure and present and argument for the professional debate. All three were also sophisticated in its differences, clearly providing its rationale and justification for the three approaches. Each also provided strengths and limitations of argumentative approach.

–ChatGPT Output–

Final Synthesis: Which Model Works Best?

  • If debating in a research-heavy, academic setting, Toulmin is the best approach due to its structured, evidence-based nature.
  • If engaging resistant audiences (e.g., abstinence-focused clinicians, policy-makers), Rogerian argumentation is more effective for relationship-building.
  • If writing a nuanced academic or policy discussion, the Argumentative Thinking Protocol provides the most comprehensive perspective, balancing evidence, ethics, and reflexivity.

Ultimately, integrating all three models—using Toulmin for logical rigor, Rogerian for audience adaptation, and the Argumentative Thinking Protocol for multidimensional analysis—creates the strongest possible argument in the social sciences and education fields.

Overall, ChatGPT (the free version at that) can contribute to argumentative reasoning, and differentiate nuances when prompted to consider alternative argumentative theoretical frameworks.  AI can not only replicate established thinking frameworks but enhance them through combinations of elements and applications to contemporary issues. I venture to say that its ability to support critical analysis in academic and professional contexts is valuable, but oversight is still essential to ensure quality.

AI’s Impact on Writing, Reading, and Thinking: An Efficiency Paradox?

I never considered myself a social Darwinist, but lately Herbert Spencer’s ideology of social evolution haunts me whenever I think about our AI-augmented intellectual landscape. This haunting first began when I took ENGL 8171 and studied the history of modern rhetoric.  And as I go between grading papers from my own students and asking ChatGPT to summarize journal article texts, I find myself wondering: am I evolving or devolving as a thinker? As a writer or reader? I’m already a painfully slow reader.

I’m tenured. I’m a full professor. The only play to go is further into the trenches of administration–a calling I will happily refuse. But academia already operates on a mentality that I still need to produce. With AI, I imagine a future where faculty produce work at superhuman speeds, consuming and regurgitating information like locusts.  (That may be too harsh.) I imagine faculty whispering in the halls, “Did you see Thompson’s third monograph published this month? How does he do it?”  Meanwhile, I’ll be using AI to help me grade 40 papers while simultaneously preparing for tomorrow’s faculty meeting and trying to finish my literature review for a paper I need to submit before my next annual evaluation and fifth year review.

The competition for efficiency feels inevitable. We’ll all be expected to read more, write more, think more—but will we actually be “thinking” more? Or just forced to process information at greater speeds? And will we advance our fields at the rate we are going?

My Confession

I’m already complicit in this evolution. How else could I possibly complete another master’s program while working as a full-time faculty member with an administrative load that keeps my eyes glued to one email chain after the next? AI helps me stay afloat in all these professional expectations. And yet, there is something satisfying about being efficient. That dopamine hits when I clear my inbox. The smug satisfaction of responding to all discussion posts before midnight. The ability to distill complex ideas into digestible explanations for my students. I tell myself I’m becoming a better teacher—which might even be true.

But late at night, when I’m asking an AI to summarize content I should have read (albeit I’m a painfully slow reader), anxiety creeps in. What if this becomes another digital addiction? What if I’m training my brain to expect instant intellectual gratification?

Academics think. We think hard about things. And that level of deep thinking requires some discomfort. It demands that we sit with uncertainty, verify sources, and grapple with the unknowns. There’s something formative about the intellectual struggle that AI cheerfully offers to eliminate. There is no need to delay gratification with AI. It’s information at high speed. Soundbites without retention. Credible sources without verification. And all better than a google search.

I do worry sometimes that we’re evolving into intellectual fast-food consumers, trading the slow-cooked nourishment of deep reading for the convenience of AI-generated summaries. Perhaps Herbert Spencer would view this as natural selection—those who adapt to AI-augmented thinking will thrive, while traditional deep thinkers fade away. But what kind of intellectual species are we becoming? Will we evolve into super-efficient knowledge workers, leveraging AI to reach new intellectual heights? Or will we devolve into knowledge skimmers, outsourcing our thinking to algorithms while our own cognitive muscles atrophy from disuse? Why are we obsessed with outsourcing?

A Promise

I promise to keep my audiobook subscription as a kind of intellectual life preserver—a reminder that some forms of thinking require time, attention, and the willingness to be uncomfortable with not knowing things immediately. But, I’ll also continue my complicated relationship with AI—using it to survive academia’s demands while trying not to let it rewire my brain entirely.

.

AI Prompt Engineering and Higher Education

Although I’m not in the habit of reading edited academic handbooks, I have combed through many of the chapters in MacArthur, Graham, and Fitzgerald’s second edition of the Handbook of Writing Research (published in 2016). In the handbook’s third chapter, “Writing Research through a New Literacies Lens,” Leu and colleagues clearly articulate that the Internet (and digital technologies) will continue to influence important changes in literacy and what it means to be literate. After this week’s readings and class material, it’s clear that prompt engineering (or prompt crafting) is as fundamental to literacy as teaching traditional writing methodologies.

Prompt engineering represents a new form of digital literacy. Just as we teach students to write effective exposition or craft compelling arguments, teachers now need to help students understand how to communicate effectively with generative AI systems. This skill becomes particularly crucial when we consider that many of our students will enter workplaces where there will be regular interaction with AI tools.

Everything I’ve read about prompt engineering emphasizes the importance of precise and clear language use. When crafting prompts for AI systems, students must learn to be explicitly clear about their desired outcomes—a skill that translates directly to improved human-to-human communication. Further, as students learn to break down complex writing tasks into clear, actionable instructions for AI systems, they develop a deeper understanding of their own writing process. And yet, all of this is very familiar in the modern history of rhetoric. Perhaps even a descending byproduct of modern rhetoric.

George Campbell argued that clarity (perspicuity) wasn’t merely about simple language, but about precise alignment between a speaker’s intention and the audience’s understanding – a principle that directly maps to prompt engineering: creating unambiguous instructions that align AI output with human intent. Hugh Blair emphasized that effective communication required understanding an audience’s capabilities and limitations. This mirrors how prompt engineers must understand AI models’ capabilities, limitations, and tendencies to craft effective prompts. For instance, Blair’s insistence on precision and economy of language – saying exactly what is meant without superfluity – perfectly describes the ideal characteristics of well-engineered prompts. No doubt connections can be made to Whatley, Sheridan, and Bain.

I’m also struck by the growing investment in prompt engineering resources by colleges and universities. When combing through the Internet for resources on prompt engineering, I found a number of university webpages devoted to the topic. Some of those include

It seemed that the narrative one year ago was to limit student interactions with generative AI. Rather than fighting the trend of AI use, universities are (wisely) choosing to integrate AI literacy into their educational mission. By developing comprehensive resources for prompt engineering, institutions can ensure that AI tools are used ethically and effectively to enhance, rather than shortcut, learning.

The development of digital resources for prompt engineering also addresses an equity concern in higher education. By making these resources more widely available, universities help ensure that all students (and people who have access to the Internet) have access to guidance on using AI tools effectively and ethically. This democratization of AI literacy is crucial for preventing the emergence of new digital divides.

Looking ahead, we can expect prompt engineering to become increasingly integrated into writing curricula. Just as we teach students to use library databases or citation management tools, we’ll need to teach them to be skilled prompt engineers. This doesn’t diminish the importance of traditional writing instruction, but adds another layer of pedagogical consideration.

How does AI work?

AI Tools Explained: How to use them? (2025 Guide for Beginners). Link: AI Tools EXPLAINED: How to Use Them? (2025 Guide for Beginners)

I opted to examine some YouTube videos about how AI works. I came across Arthur Winer’s webpage and videos–AI Master–and found that he has created many videos, materials, and reviews about AI. In the video (link attached above) Arthur Winer explains that AI mimics human intelligence through systems designed to solve problems, recognize patterns, and make predictions. Most AI today excel at one specific task, like large language models (e.g., ChatGPT), image generators, or voice assistants. AI systems use neural networks that process data in layers. They start off “dumb” and learn from large datasets, refining their predictions through repeated training. These models focus on probabilities to generate outcomes, but they don’t truly “understand” like humans do. Large Language Models (LLMs), like ChatGPT, process text and predict responses based on learned patterns. Image generators learn from massive visual data and create images from scratch based on prompts, while audio generators create music or speech by understanding patterns in sound.

When using AI tools, the key is in how you prompt them. For LLMs, prompts need to be clear and detailed, with instructions about tone, style, and structure. For image and video generators, prompts should focus on visual details like colors, elements, and movement to avoid vague or unsatisfactory results. AI is about enhancing human productivity, making tasks faster or more creative, but the underlying technology is still fundamentally about learning patterns and probabilities, not real understanding. The focus on prompting was also a very interesting element. So I followed up on another video of his in order to review the best way to use prompts with large language modeling.

The Ultimate 2025 Guide to Prompt Engineering. Link: The ULTIMATE 2025 Guide to Prompt Engineering – Master the Perfect Prompt Formula! Attached were Arthur Winer’s rules for prompting with LLM.

1. Keep it Direct

AI doesn’t respond to pleasantries like “please” or “what do you think.” It’s best to be direct and factual in your prompts. For instance, instead of saying “Could you please write a short story about a robot and a dog?”, simply say “Write a short story about a robot and a dog.”

2. Be Descriptive

The more details you provide, the less the AI has to guess, and the better the results. Specify aspects like tone, audience, length, or specific formatting. For example, instead of saying “Write a blog post about the economics of the Middle East,” specify: “Write a 1,000-word blog post about the economic situation of Kuwait from 1961 to 1967 aimed at beginners in a conversational tone.”

3. Provide Context and Specifics

Give clear guidance on what you want and avoid leaving gaps. A vague prompt like “Write a blog post on social media marketing” might lead to generic content, while a more detailed one like “Write a 1,000-word blog post about digital social media marketing for beginners, using a conversational tone and dividing it into five parts with lists” will give you more precise results.

4. Give the AI a Role

By asking the AI to take on a specific role (like a lawyer, journalist, or doctor), it will focus its response on that profession, making the content more relevant. For example: “You are a patent lawyer. Explain the legal process for patenting an invention in simple terms for a non-legal audience.”

5. Set Limitations

Tell the AI what to focus on and what to avoid. For example, instead of asking it to “Write about renewable energy,” say “Write a 200-word summary on the benefits of solar energy, focusing on environmental advantages and avoiding technical jargon.” This keeps the response focused and concise.

6. Iterative Prompting

If your first prompt doesn’t yield perfect results, refine it step by step. Start with a broad prompt and then narrow it down as needed. For example, start with “Explain renewable energy,” and then refine it with prompts like “Compare wind energy to fossil fuels” and finally “Explain this for a 10-year-old audience.”

7. Be Specific About Style and Formatting

If you need a specific format, style, or tone, include that in your prompt. For instance, instead of saying “Tell me about the history of computers,” try: “Write a timeline of major events in computer history formatted as a bullet list, including five to seven key milestones with one sentence explaining each.”

8. Provide Examples

Sometimes, showing the AI an example of the type of output you want can greatly improve its response. For instance, when asking for a chord progression in the style of the Beach Boys, provide an example to guide it.

9. Use a Chain of Thought Structure

For complex tasks, structure your prompt like a checklist or guideline. This helps the AI stay focused on key points and avoid wandering off-topic. For example, instead of asking to explain renewable energy in general, break it down into smaller parts: “Discuss the environmental impact, economic considerations, availability, and scalability of renewable energy.”

10. Break Large Tasks into Smaller Chunks

When faced with a large or complex request, break it down into smaller, more manageable tasks. For example, instead of asking the AI to explain the causes, effects, and solutions for climate change all at once, break it into individual prompts, such as “List the top three causes of climate change.”

11. Refine Your Prompts with AI’s Help

If you’re not happy with your prompt, you can ask the AI to refine it for clarity and effectiveness. For example, paste your initial prompt and ask the AI to “Refine this prompt to make it clearer and more effective.”

Resistance and Compromise: The Case for a Commonplace Book

I initially approached the notion of modern-day commonplace books with some skepticism. I questioned its value beyond existing tools like research notebooks, digital word or excel files, and free-written composition journals. The idea of storing ideas seemed redundant at best and time-consuming at worst. Never mind my strange inclination to resist keeping some type of systematic organizer—it occasionally brings out some of my maladaptive perfectionist traits. Besides, AI will be doing this for us, no?

Of course, I prompted ChatGPT to describe the rhetorical value of a commonplace book. It described it as “a dynamic tool for reflection, connection, and synthesis.” I quickly inferred this to mean an elaborate filing system that allows us to work quickly and efficiently. More product. Less time. I suppose this is one pedagogical direction AI is steering us toward: working more quickly and efficiently. It reminds me of Herbert Spencer’s rhetorical perspective on social Darwinism—an economy of attention that emphasizes the efficiency of rhetoric and the cognitive operations of language.

Setting aside some of my resistance, I envisioned how a structured commonplace book could serve some new areas of scholarly inquiry: writing and composition studies in counseling and counselor education. Again, I took to ChatGPT and prompted it to create commonplace book headers and sub-headers based on my new areas of scholarly interest. By organizing into carefully considered categories – from foundations of writing in counseling to intersections of rhetoric and psychology – I discovered a framework that could capture the complexity of my dual interests. This is what ChatGPT provided in the output:

1. Foundations of Writing in Counseling and Counselor Education

  • Key Theories (e.g., Cognitive Models, Self-Regulation Theories)
  • Historical Perspectives on Writing in the Discipline
  • Classical Rhetorical Canons in Psychology Writing (Invention, Arrangement, Style)
  • Writing Standards (e.g., APA Style, Ethical Reporting)

2. Writing Pedagogy in Counselor Education

  • Teaching Writing as a Process
  • Strategies for Addressing Writer’s Block
  • Approaches to Peer Review and Feedback
  • Scaffolding Research Writing for Graduate Students
  • Effective Assignment Design (e.g., Reflections, Case Studies, Research Proposals)

3. Composition and Argumentation in Counseling

  • Crafting Research Arguments
  • Developing Clear Problem Statements
  • Tailoring Writing to Specific Audiences (Practitioners, Scholars, Policymakers)
  • Rhetorical Strategies for Counseling Interventions

4. Editing and Revising in Counseling Research

  • Techniques for Polishing Manuscripts
  • Common Pitfalls in Academic Writing (and How to Avoid Them)
  • Collaborating with Co-Authors and Students
  • Style and Clarity in Quantitative and Qualitative Research Writing

5. Intersections of Rhetoric and Counseling

  • Application of Classical Rhetoric to Counseling Research
  • The Role of Narrative in Counseling Practice and Research
  • Multimodal Communication in Psychological Interventions
  • Persuasion and Advocacy in Psychological Writing

6. Writing for Diverse and Marginalized Communities

  • Inclusive Language in Counseling and Psychology
  • Challenges in Writing about LGBTQ+ and CID Populations
  • Addressing Stigma through Academic Writing

7. Tools and Resources for Writing

  • Software for Academic Writing (e.g., Scrivener, Zotero, EndNote)
  • Writing Templates and Style Guides
  • Best Practices for Literature Reviews
  • Online Repositories and Open-Access Resources

8. Reflection and Inspiration

  • Quotes and Aphorisms on Writing
  • Personal Reflections on Your Writing Process
  • Successes and Challenges in Teaching Writing
  • Inspirational Case Studies in Academic Writing

Initial Reflections

I’ve been spending the better part of six months reading through writing scholarship in rhetoric and composition, as well as writing studies produced in the psychology field (nearly nonexistent in counselor education). I’ll admit, the list of headers and sub-headers is reflective of what I’ve been reading and taking notes on in my personal studying. Theories, writing pedagogy, argumentation have all shown up as critical areas of further inquiry when trying to apply rhetorical and writing theories to the field of counselor education.

Interestingly, ChatGPT has also learned to tailor its list to my specific area of scholarship since I never prompted it to consider my current line of scholarship on stigma and LGBT/Disability populations. It appears ChatGPT has learned to accommodate some of my own individual interests without needing to prompt it when I’m logged into my own account.

ChatGPT also provided me with two additional sources of output that I did not prompt it to provide. The first included sources for content/methods for gathering, and the second included commonplace practice. The act of curating content from academic journals, conferences, and teaching experiences provides an interesting way of connecting ideas and sharing it in the public sphere. Some of these connections provided me ideas for new research questions and ways of approaching writing pedagogy in counselor education—something that I may not have considered prior to this assignment (e.g., surveying counselor educators writing pedagogical practices). This was the provided output: 

Sources for Content and Methods for Gathering It

  1. Academic Journals and Books
    • Look for articles on writing pedagogy in journals like Teaching of Psychology or Journal of Counseling Psychology.
    • Books on academic writing (e.g., Silvia’s How to Write a Lot or Bolker’s Writing Your Dissertation in Fifteen Minutes a Day).
  2. Conferences and Workshops
    • Notes and takeaways from professional events like APA or ACA conferences.
    • Handouts, presentations, and discussions focused on writing and research.
  3. Teaching and Mentoring Experiences
    • Reflect on student interactions, common writing struggles, and successes.
    • Document effective feedback techniques or assignment designs.
  4. Digital and Online Resources
    • Blogs, newsletters, and websites dedicated to academic writing (e.g., The Thesis Whisperer, APA Style Blog).
    • Online courses or webinars about writing and editing.
  5. Personal Writing and Research Projects
    • Annotate your own drafts, revisions, and published works for future reference.
    • Log breakthroughs, challenges, and lessons learned during the writing process.
  6. Collaboration with Colleagues
    • Gather insights from co-authored projects and team discussions.
    • Share and record best practices in collaborative writing.
  7. Historical and Philosophical Texts
    • Draw connections between classical rhetoric and modern counseling writing.
    • Include excerpts or interpretations of foundational works by Aristotle, Cicero, or Quintilian.
  8. Everyday Observations
    • Capture anecdotes, metaphors, or examples that illustrate writing concepts.
    • Record quotes from clients (anonymized) or students that inspire or challenge thinking about communication.

Commonplace Practice

  1. Choose a Medium
    • Digital tools like Evernote, Notion, or Scrivener.
    • Physical notebooks organized with tabs or indexed sections.
  1. Regularly Curate Content
    • Dedicate weekly or biweekly sessions for reviewing and adding new entries.
    • Use a “read, annotate, and reflect” approach to assimilate material into your book.
  1. Tagging and Cross-Referencing
    • Develop a system of keywords or tags for easy retrieval of content.
    • Cross-reference related entries (e.g., “See also: Rhetorical Strategies in Counseling Research”).
  1. Periodic Reflection and Revision
    • Revisit and refine entries to deepen understanding and maintain relevance.
    • Highlight areas for further exploration or integration into teaching.

Some Conclusions

Just as counselors ask clients to examine their thoughts and experiences with intention, the commonplace book demands a similar level of reflective engagement. The proposed ChatGPT structure provides a framework to build out a research agenda that aligns with my intended work as a counselor educator. I can see potential value of continue to develop commonplace book around this area of scholarship. Each entry would add depth and growth. Whether I’m preparing for a lecture, drafting a manuscript, or mentoring students, having this carefully curated resource could prove beneficial.

An Evolving Literacy of Writing, Reading, and AI Composition

My literacy narrative represents many contextualized challenges, educational influences, and personal experience I have not even fully explored. Beginning as a child of Sicilian immigrants struggling with early reading, through to my current role as an educator and scholar embracing artificial intelligence, my relationship with language and learning has been marked by some transformations. Reflecting on my responses, my narrative explores five fundamental aspects of my literacy development: the physical and creative dimensions of writing, the evolutionary nature of my reading practices, the intricate relationship between thinking and self-expression, the careful development of informed opinions, and the integration of artificial intelligence into academic practice. Through these lenses, my narrative reveals how early struggles with fundamental literacy turned into a deep appreciation for language’s ability to shape both personal expression and professional practice.

WRITING

What is your earliest memory of writing?
I have loose associations to my earliest writing memories. Whereas I know I was writing in the first grade, I have no recollection of enjoying or disliking it. It was something I had to do because I was instructed to do so. But I distinctly remember learning cursive in the second grade and preferring it to print ever since. Cursive felt freeing, a blend of style and personal aesthetics. Before I could write, I was already drawing—painting, coloring, and sketching were my creative outlets. In the fourth grade, my teacher required us to write in cursive using fountain pens for our journals. I disliked journaling, often rushing through or fabricating weekly entries to finish faster. However, I loved the experience of writing with a fountain pen. Interestingly, journaling has never appealed to me, even as an adult. As a psychotherapist, I rarely recommended it, though it’s a common tool in the field.

    What is your earliest memory of being taught to write?
    My earliest memories of being taught to write were academic and foundational—grammar (language arts), phonics, and spelling dominated the early years. It wasn’t until the fifth grade, when literature studies became a focus, that I encountered creative writing. This opened a new avenue for me, because it was one I thoroughly enjoyed and receiving encouraging feedback on in school. Around the same time, I discovered Anne Rice’s novels. Although wildly inappropriate for a ten-year-old, her storytelling kept me engaged and interested in reading. Reading about her writing process inspired my curiosity about storytelling and the craft of writing.

    Did your parents read to you?
    My parents didn’t read to me. They spoke limited English, having grown up in Sicily with little formal education. I recall my mom trying to read to me in kindergarten at my teacher’s suggestion, but it didn’t last. Instead, my brother—seven years older—became a sort of guide when I struggled with reading.

    Did they have books lying around the house?
    There were books in the house, mostly my brother’s. While he wasn’t a big reader, we had picture books and a set of encyclopedias. I remember flipping through the encyclopedias, fascinated by the images but unable to read the words. I’d stare at the pictures, wishing I could decipher the stories behind them.

    Did you have an influential schoolteacher, and what do you remember of them?
    In middle school, Ms. Lorraine Giardino stood out. She taught social studies, religious studies, and honors reading from fifth to eighth grade. An older teacher, she was funny, engaging, and creative in her teaching methods. Her history lessons often involved visual projects, and her reading exams required essays. Although her exams had a reputation for being tough, I felt confident tackling them. She instilled in me a sense of efficacy and curiosity that I carried forward.

    What part did reading play in your development as a writer?
    Reading has always been foundational to my growth as a writer. As a child, I was drawn to books because of my love for movies. I’d often seek out books that inspired the films I enjoyed. Now, as a scholar, reading is integral. Engaging with peer-reviewed literature shapes my understanding of discourse and enhances my ability to contribute meaningfully to academic conversations.

    Did you ever read a précis or watch a movie instead of reading the book?
    Rarely. I often chose to read the book even when others dismissed it in favor of the movie. However, I sometimes turned to cliff notes when time was tight—being a slow reader can be a challenge. One instance stands out: my seventh-grade teacher praised me for reading Margaret Mitchell’s Gone with the Wind. I noted that Scarlett O’Hara (Hamilton Kennedy Butler) had three children by three different men in the novel, a detail absent from the movie. That observation earned me some extra points.

    Did you have an influential professor, and what do you remember of them?
    Two professors left a lasting impression on me during my undergraduate years. Dr. Gordon G. Gallup, my thesis advisor, introduced me to the rigor of academic writing in psychology. His precision with language and emphasis on brevity were influential in my writing. Gordan Gallup also had an insatiable curiosity about psychology and exploring how to design studies to understand what seemed to be hundreds of inquiries that entered his mind daily. On the other hand, Dr. Jeffrey Berman, my English professor, brought a completely different approach to his teaching. In his senior seminar, Surviving Literary Suicide, he encouraged us to disagree with him in our essays—a first for me. He also shared student sentences anonymously in class for group critique. He would state that each sentence was good but could be improved. On two different occasions, he took a sentence I had written and proceeded to say: “A very good sentence. Perhaps a great sentence. A sentence that will be written by a future PhD student. How do we make it better?” He had been a professor for so long he knew which of his students were going to pursue doctoral work by just reading a sentence. That is mastery I wish I could emulate. I’ve had a PhD for well over a decade and still working on writing better sentences.

    Describe your writing processes and behaviors.
    I prefer writing in the morning when my mind feels sharpest, ideally with a cup of coffee. I don’t write linearly and often draft segments and pieces of my paper by hand. I find that peer-review processes don’t work as well for me, even though they are helpful when it comes to accountability or receiving feedback on my thoughts.  There’s something tactile and satisfying about pen on paper, which makes revising and rewriting more deliberate. Pre-writing is essential—I brainstorm freely, knowing I can discard ideas that don’t serve the final draft. I view writing as an iterative process, one that thrives on flexibility and revision.

    How do you teach writing?
    My teaching methods vary depending on the audience. For technical writing, like biopsychosocial reports, I provide a structured framework and detailed feedback on drafts, allowing students to revise before grading. My feedback is extensive but individualized for each student. I even have them report on how they revised based on the feedback they received. They also need to disclose if and how they used AI to write their reports. For APA-style writing, I teach it as a genre, emphasizing its conventions and how they shape research communication. I typically teach this in my doctoral seminar courses, as I do not expect any of my students to read the manual—although I encourage them to read it. When working one-on-one with my doctoral students, I focus on personalized instruction. I focus on constructing arguments, addressing implications, and tailoring content to the intended audience they’re submitting their scholarly work to. Across all methods, I prioritize feedback and view writing as a skill that improves through practice and reflection.

      READING

      What is your earliest memory of reading?
      A central memory in my life is struggling to learn how to read (or decoding, blending, phonemic awareness) as a child. No adult preemptively taught me (that I can recall although I’m sure there were attempts by adults to do so), and I don’t recall my parents reading to me. Then again, English wasn’t their first language—they were immigrants from Sicily with limited schooling, deferring to the school system to teach me. However, one vivid moment stands out: I was in first grade, early in the morning, and my older brother, who was in eighth grade, sat me down to help me. He used a rebus story from my first-grade textbook about animals on a farm. That moment wasn’t just about learning to read; it was about feeling supported and realizing I could figure it out.

        What part does reading play in your writing?
        Reading is essential to my writing, especially as a scholar participating in academic discourse. It is no doubt the golden rule of writing. One must read, and perhaps read voraciously. Writing isn’t an isolated act—it’s deeply connected to engaging with existing research, ideas, and debates. Reading provides inspiration and context. As an associate editor to a scholarly journal, I’ve become more attuned to how others construct their arguments and articulate their ideas. I notice common patterns and errors, which helps me refine my own writing and help me better teach my students. Reading critically sharpens my ability to write thoughtfully.

        Have you ever read a summary or watched a movie instead of reading an assigned book?
        Not as a child, but definitely as I went into high school and college. There wasn’t enough time to cover all that reading. As a middle schooler, I took pride in reading books, even if they were long or challenging. In seventh grade, I remember reading Margaret Mitchell’s Gone with the Wind and impressing my teacher by pointing out details from the book that weren’t in the movie—like Scarlett O’Hara having three children by three different men. It felt like proof of my commitment to fully immersing myself in a story.

        Does listening to someone read a book provide you with the same experience as reading it yourself?
        More so now than it did when I was younger. I enjoy audiobooks and appreciate the performances of professional actors or even authors who read their work. Hearing the cadence and tone intended by the writer adds a layer of meaning. Some authors, like Toni Morrison, Natalie Haynes, and Stephen Fry, are masterful at bringing their words to life. Listening doesn’t replace reading for me, but it complements it, especially when I’m on the road and keeping up with my daily step count.

        OPINING

        Do you have an opinion about the present state of the economy?
        Not really—at least, not an informed one. I know my limitations in this area.

          Do you have an opinion about NATO?
          No, and again, it’s not informed enough to feel confident about discussing it at length.

          Do you have an opinion about the relationship between sacrifice and faith?
          This question makes me take pause. Sacrifice and faith are not something I’ve ever been deeply interested in.

          Do you ever use words you can’t define?
          I try to avoid using words unless I’m sure of their meaning. Precision matters to me, especially in writing and teaching, although I know I have used words incorrectly.

          How comfortable are you with saying, “I don’t know”?
          Perhaps incredibly comfortable with it, and I say it often. It’s an honest response that acknowledges my limitations. Context matters, of course. In academic settings, admitting I don’t know something opens the door to collaborative learning. But I’m also realistic—I don’t always make it a priority to immediately find answers. That said, tools like AI have made accessing information much easier, though sometimes the process of discovery still feels just as important as the answer itself.

          THINKING

          Do you have an internal monologue?
          Yes, I unapologetically talk to myself regularly and spend much of my day engaged in an internal monologue. It’s most active when I’m at the gym, walking, or reflecting on work while working from home. These moments allow me to process ideas, analyze situations, and regulate my thoughts. I also drift into daydreaming and imagining, which is something I’ve done ever since I was a child.

            Do you ever edit as you narrate to yourself?
            Yes, I do, and while it may seem like a nasty habit (since writers are constantly told not to edit while writing and composing), I see it as a productive one. It’s part of my reflective process—it lets me revise my thoughts in real time, almost as if I’m self-editing for clarity or perspective. Psychologically, I might view it as a means of regulating myself, a way of refining not just what I think but how I think.

            What is it like to think wordlessly?
            I’ve always had an active visual imagination, but even my mental images often include words and dialogue. So, I find it difficult to think entirely wordlessly. Even sensory experiences like sounds and smells eventually translate into words or narratives in my mind. Words are central to how I process the world, though at times, they can feel invasive—taking over spaces where silence or pure imagery might suffice.

            Is there a difference between rationalizing and thinking?
            I believe there is a significant distinction, and my perspective is influenced by my background in psychology. Thinking encompasses a wide range of cognitive processes, such as reasoning, problem-solving, and imagining. Rationalizing, however, feels more specific to executive functioning—it’s a cognitive strategy we use to justify behaviors or thoughts, often when they may seem unacceptable or irrational. Rationalization can serve as a form of emotional regulation, but it’s also deeply rhetorical, as it often involves constructing logical-sounding explanations to align with personal or social norms.

            AI-ING

            Have you used AI?
            Yes, I use AI regularly.

              How many times?
              I interact with AI daily—it’s integrated into many aspects of my personal and professional life as I find myself taking to Google and ChatGPT for all the random questions, thoughts, and debates I have on an ordinary day.

              Toward what ends?
              I use a variety of AI tools (e.g., ChatGPT, Claude, Perplexity, Google Gemini, Elicit) for different purposes: drafting emails, organizing class assignments, engaging in reflective conversations, and editing my written work. In scholarly and evaluation contexts, AI helps me improve efficiency, whether by streamlining tasks or generating ideas. It has become a valuable tool for problem-solving, brainstorming, and refining my workflow.

              Current thoughts about it?
              I fully embrace AI and am eager to learn how to integrate it more effectively into my pedagogical and professional work. I especially want to improve my ability to craft prompts and use them more efficiently, which I see as a skill in its own right. However, I’ve observed that many of my students and colleagues aren’t as comfortable using AI, and I want to find ways to bridge that gap. Teaching students how to use AI efficiently—particularly for their written projects—is a priority for me. I view it as an essential tool for navigating academic and professional spaces.

              Composing a Professional Digital Identity: A Rhetorical Analysis of Franco Dispenza’s Academic Website

              Website Link: https://sites.gsu.edu/fdispenza1/

              Background

              Many of my colleagues in the counseling and psychology fields have professional websites. They use their websites for training, teaching, showcasing current and completed research, scholarly dissemination, and marketing professional services for potential external funding opportunities. Thus, I realized it was time I create a professional website for myself, and fortunately it came in the guise of a classroom assignment (kairos at work, I suppose).  

              I approached the creation of a website to showcase a professional digital identity (or digital persona) across multiple networks of academic audiences. This professional website became more than a simple repository of personal and professional information, but rather a rhetorical artifact that strategically communicates my scholarly persona to students (current and prospective applicants to the masters and PhD programs in my department ), colleagues (academic and community stakeholders), potential research collaborators and funders (e.g., federal sponsors, community agencies in need of external evaluators), and any future employment prospects via recruiters and administrators. To accomplish this endeavor meant I had to cast “a wide net” to ensure I met the rhetorical appeals of these various audiences.

              Rhetorical Constraints, Controversies, and Conflicts

              I recognize now that composing the website became a process of many rhetorical negotiations, the first beginning with the initial cannons of invention and arrangement. The arrangement of content transcended linear document design, embracing the digital rhetoric principle of networked communication (Eyman, 2015). Hyperlink structures became rhetorical devices, enabling visitors to navigate my website through non-linear exploration. This approach reflects digital rhetoric’s fundamental understanding of communication as a dynamic, interconnected process rather than a static transmission of information (Eyman, 2015; Rhodes & Alexander, 2015; Zappen, 2005). By hyperlinking to other professional and well-known websites (e.g., department faculty webpage, graduate program webpage, professional associations, Google Scholar), I attempted to expand the ethos of my professional persona. I did this to enhance my credibility within the various interconnected communities I professionally engage in as a professor and scholar.

              My design approaches were also theoretical and intentional, although I will humbly acknowledge their execution may not have been entirely successful. From the beginning, I was interested in the application of minimalist design principles. Minimalist design emphasizes simplicity and reduction (Wilson & Bellezza, 2022), while also incorporating limited materials, neutral color tones, and simple forms to create a visually harmonious effect (Hohendadel, 2022). By eliminating superfluous elements, my goal was to develop a website that conveyed a distinct and professional identity. Central to minimalist web design is the psychological concept of “less is more.” As Li and Fu (2023) describe, “the goal of minimalism is to ensure that the viewer’s vision is not disturbed while maintaining the efficiency of obtaining information” (p. 831).

              Lastly, I had to capture that I am a multicultural scholar who’s scholarship falls within the realms of liberation psychology and social justice. Whereas queer digital writing aims to disrupt various forms of normativity (Rhodes & Alexander, 2015), my website’s development was simultaneously an act of identity construction and self-protection from expectations of disruption. Given my scholarship’s focus on disability and LGBTQ+ justice-oriented care, I carefully negotiated the delicate balance between visibility and vulnerability. The absence of certain design elements in a time of political scrutiny—such as rainbow color schemes—became a rhetorical strategy of protective disclosure. This approach embodies Haas’s (2018) conception of digital rhetoric as a process of negotiating information within complex social, economic, and political contexts.

              Rhetorical Strategies

              Each design choice—from my use of a horizontal navigation bar on top of the website, blue buttons as a call to action on my site’s various pages, and content selection—were carefully considered as rhetorical moves aimed at creating multiple points of engagement with my audience. Each rhetorical move was also created to maintain efficiency and brevity. My intended audience—students, researchers, scholars, collaborators, and administrators—are busy, and consume massive amounts of input in short periods of time. Therefore, my website content had to be easily accessible, repetitive within reason, and succinctly clustered for easy reading. Accessibility for a multi-faceted audience also meant I had to consider some degree of responsive design (Justinmind, 2024). I, along with my many of my colleagues, find ourselves spending more time working from our phones and laptops than we do our own office desktops or laptops. By ensuring the website’s functionality across devices, from desktop computers to smartphones, I expanded the potential for scholarly interaction and visibility. This approach reflects digital rhetoric’s understanding of communication as a fluid, multi-platform experience.

              I also had to consider how to best implement minimalist design principles. A minimalist design approach not only results in aesthetically pleasing designs but also improves the user experience by simplifying information processing. For instance, the selection of a sans-serif typography (Arial, in my website’s case) was not merely an aesthetic decision but a rhetorical strategy. A sans-serif typography conveys simplicity and professionalism, while enhancing the ease of readability (Gapsy Studio, 2023). I also kept with a simple color pallet: black, white, and gray color for most photographs and typography. Hyperlinks and buttons were composed in blue (or blue and white as in the case of buttons) so that website visitors would rely on their intuitive heuristics to click on those links and buttons. Lastly, I selectively added a light hue of salmon in two different pages of my website, the Welcome and Specialization pages. Salmon has a positive valence, revealing warmth, security, and optimism (Figma, 2024), which seemed appropriate for those two pages. 

              The constraints of the Georgia State University WordPress platform became an unexpected site of rhetorical creativity. Limited by pre-established templates and my own coding capabilities, I transformed these constraints into opportunities for strategic design. By utilizing ChatGPT for basic CSS and HTML customization, I expanded the platform’s capabilities while maintaining a professional aesthetic. I utilized ChatGPT to create CSS and html coding to help change the pre-established typography to the WordPress template I had selected (i.e., family), as well as font size, layouts, contact information box, and the creation of page buttons.

              Overall, my professional website emerged as a complex rhetorical object that goes far beyond just a simple digital business card. It represents a strategic negotiation of a digital persona, technological constraints, and scholarly communication. Through careful design choices informed by digital rhetoric principles, my hope is that the website can become a space of professional representation, inviting exploration, dialogue, and connection with audience members.

              Works Cited

              Eyman, D. (2015). Digital rhetoric: theory, method, practice. University of Michigan Press.

              Figma. (2024). Salmon color guide. Retrieved November 27, 2024, from https://www.figma.com/colors/salmon/

              Gapsy Studio. (2023, September 14). What is Typography in Web Design: A Beginner’s Guide. Retrieved from https://gapsystudio.com/blog/typography-in-web-design/

              Haas, A. M. (2018). Toward a digital cultural rhetoric. In The Routledge Handbook of Digital Writing and Rhetoric. Edited by Jonathan Alexander and Jacqueline Rhodes. New York: Routledge, pp. 412–422.

              Hohenadel, K. (2022). What is minimalist design? The Spruce. https://www.thespruce.com/what-is-minimalist-design-4796583

              Justinmind. (2024). Best responsive website examples and design best practices. Retrieved November 27, 2024, from https://www.justinmind.com/blog/examples-responsive-website-design/

              Li, Y., & Fu, K. (2019). Research on minimalism in interface design based on Gestalt psychology. In International Conference on Human-Computer Interaction (pp. 253-263). Springer, Cham. https://doi.org/10.1007/978-3-030-20250-5_23

              Rhodes, J., & Alexander, J. (2015). Techne: Queer meditations on writing the self. CCDP Books. Available at: https://ccdigitalpress.org/book/techne

              Wilson, A. V., & Bellezza, S. (2022). Consumer minimalism. Journal of Consumer Research, 49(5), 820-841. https://doi.org/10.1093/jcr/ucab010

              Zappen, J. P. (2005). Digital Rhetoric: Toward an Integrated Theory. Technical Communication Quarterly14(3), 319–325. https://doi.org/10.1207/s15427625tcq1403_10

              Project Profile Proposal for Academic Website

              Type and Purposes of the Project
              This project is an academic website intended to showcase my research, teaching, and knowledgebase in counseling and psychology. The primary purpose of this website is to enhance my digital identity, online presence, and establish a professional platform that appeals to a diverse audience beyond Georgia State University, including prospective  graduate students, fellow scholars, and future potential collaborators.

              The “Client”
              This will be an online portfolio, and I am my own client. I am a counselor educator and psychologist specializing in multicultural counseling and clinical rehabilitation, with credentials that include coursework in advanced counseling techniques and research in multicultural counseling competence. My background includes counseling practice in a range of clinical settings (e.g., VA medical center, college counseling centers, community practice), clinical supervision, graduate teaching and training, basic and applied research, and involvement in community program evaluation.

              Audiences
              The primary audience for my website includes graduate students and professional colleagues/potential research collaborators. As a program coordinator, I am looking to present my digital profile and expertise to prospective students who may be interested in applying to the programs in my department. I also want to provide more information regarding my scholarship program to potential applicants who may be interested in conducting research on disability or LGBTQ+ issues in counseling. Of course, I have developed some newer scholarly interests in rhetoric, writing, and composition. I also want the website to speak to other academics, researchers, and possible future colleagues regarding my scholarship.

              Content Design
              I plan to include the following content pages in my website design:

              • About Page or Bio: Personal background, academic journey, and research interests.
              • Research: Overview of research philosophy, training, and approach. I would like to provide a review of projects, publications, and ongoing studies.
              • Teaching: Overview of teaching philosophy, including past courses taught, course descriptions, syllabi, assignments, and student resources (e.g., I would like to attempt a letter of recommendation tool).
              • Publications: Access to abstract links of of research articles, book chapters, and editorial pieces.
              • Curriculum Vitae: Upload my current vitae.
              • Blog: Insights on current trends in multicultural counseling and psychology.

              Design Tools
              I plan to use GSU’s WordPress to design my site. Not only is this supported by GSU, but I can easily hyperlink other pages to my WordPress webpage. This platform also provides some customizable templates, and it does not require extensive coding skills, making it ideal for creating a professional-looking website. I may also incorporate some basic CSS for additional customization but will need to work through some of the WordPress tutorials to be afforded some more control over the design features of the website. I intend to utilize minimalist design principles.

              Special Concerns
              Ensuring the website is accessible to individuals with disabilities, including screen reader compatibility is important given that persons with disabilities is an audience I’m attempting to capture because of my scholarly work. WordPress does include some extensions to ensure accessible design, within reason. Ideally, I would like the design of the website to be mobile-friendly and responsive. My main concern, however, is how much design control I can be afforded through WordPress, since there appear to be some limitations to how much design control I can have.