Writing centers in Brazil emerge from an internationalization initiative that combines tutoring students on academic assignments and translating Portuguese articles written by faculty and graduate students into English. Thus, they arise from local needs and contexts. Three articles about writing centers in Brazil have been published, and only one mentioned student tutors’ views. This research aims to understand their views on being part of a Brazilian writing center while pursuing their majors and graduate courses. Through narratives, four participants have voiced challenges regarding dealing with texts from a diversity of fields, handling technical terms, and expressed varying degrees of self-confidence when working with a text written by an individual in a scholarly higher position. Regarding growth opportunities, the student tutors mentioned the development of soft skills and teamwork, improvement in performing reading and writing tasks in their undergraduate programs, and opportunities to increase their knowledge in other fields. The discussions presented in this paper contribute to tutors’ training and to other research on student tutors, as well as to the landscape of what writing centers do in the domain of international publishing. In the U.S., writing centers emerged from labs and clinics (Carino, 1995) and were a resource for college writing assistance for undergraduate students from the 1970s on. However, this is not a common scenario in Brazilian high schools or higher education institutions. Universities in Brazil originated in the 1900s, meaning that higher education is a relatively recent phenomenon. The Brazilian educational system was established based on a “banking model of education” (Freire, 1970/2007), a metaphor used to describe students as containers into which educators must deposit knowledge, reinforcing that knowledge came from outside. Students were not encouraged as creators of new ideas and little was done to develop students’ critical thinking and writing skills, bearing resemblance to the observations made by Mora (2022) on her Mexican context. In this regard, writing centers are not a national reality and are not found in high schools or universities, as most of the writing practice is devoted to the essay students need to write to be accepted in the university entrance exam (Cons & Rezende, 2024; Martinez, 2023). Brazilian undergraduate and graduate students struggle to meet the demands of higher education, accomplishing academic tasks such as an undergraduate thesis and writing for publication without the help or the culture of pursuing the assistance of a writing center. Additionally, the pressure to publish internationally is an obstacle that faculty and graduate students must face, especially since high-impact journals publish in English and the Brazilian population is not bilingual. English language schools are profitable businesses in Brazil as compulsory education does not provide proper conditions for learning foreign languages. Thus, to cope with this demand, most graduate departments are applying part of their budgets to pay for translation and editing services (Martinez & Graf, 2016). Prof. Ron Martinez observed this scenario at the Federal University of Paraná (UFPR) and proposed the creation of the first Brazilian writing center – CAPA – Centro de Assessoria de Publicação Acadêmica (Academic Publishing Advisory Center) in 2016 to offer both translation and tutoring services (Martinez, 2023). Through this action, he aimed to apply resources inside the institution and provide academic and professional development to the students and faculty. Following the creation of CAPA, seven other writing centers were established in the state universities of Paraná, Brazil in the second semester of 2021. The writing center at our university is one of them. Since its creation, our center has offered tutoring and translation services, with its staff comprised of a university lecturer as a coordinator and graduate and undergraduate students as tutors and translators. These student tutors use English as a second language and are majoring mainly in English Language and Literature; however, students from other areas are welcome and have been part of the center. The increasing popularity of paid editorial services (Hartwood, 2019; Martinez, 2023) underscores the importance of writing centers offering sophisticated machine learning (ML) editing assistance, ensuring that all individuals may benefit from these services irrespective of financial circumstances. These two realities demonstrate that globalization and internationalization initiatives have influenced the tasks performed by some writing centers. In Brazil, student tutors are mainly involved in translation services from Portuguese to English, editing manuscripts in Portuguese and English, and tutoring undergraduate students in their academic tasks in Portuguese or in English. Performing these responsibilities involves challenges, and as a result, we want to explore the challenges and benefits of working as a tutor. Though inspired by aspects of American models, writing centers in Brazil arise from local needs and contexts that display their distinct histories (Martinez, 2023). They emerge from an internationalization initiative that combines tutoring students on academic assignments and translating Portuguese articles written by faculty and graduate students into English (Cons & Rezende, 2024). There are only three international publications about Brazilian writing centers: Martinez (2023), Cons and Rezende (2024), and Cons et al. (2025). Martinez (2023) explores the emergence and development of writing centers in Brazil, using the author’s experience as the founder of the Academic Publishing Advisory Center (CAPA) at the Federal University of Paraná. Cons and Rezende (2024) conducted their research at CAPA and focused on one particular consultation as a case study. Cons et al. (2025) discuss preliminary tutor impressions about Generative AI and evaluate how formal training on the use of Generative AI has impacted the translation and tutoring practices at CAPA. Even though these three articles present the Brazilian reality, none of them look at student tutors’ perspectives on working at a writing center in Brazil. International publications that focus on tutors (Thompson et al., 2009; Thonus, 2001, for example) have centered their research on the North American context. The current research presents the tutors’ voices on being part of a Brazilian writing center and advances the discussion about how writing centers in Brazil create situated practices with transnational applications (Mora, 2022). To contribute to the landscape of what writing centers do (Jackson & McKinney, 2012), this article addresses the following questions: What are the challenges faced by these student tutors? To what extent do student tutors at one Brazilian writing center perceive their work at the center as beneficial for their individual growth?

Large language models continue to evolve at a far faster pace than policies at colleges and universities. Writing instruction and peer-tutoring, in consequence, will have to change faster still. In six months of testing by the researchers, ChatGPT began to produce prose with ever greater clarity, analysis, and varied (if often formulaic) stylistic choices. At the same time, all AIs tested struggled with copyrighted materials, sometimes refusing to employ them or quoting sources while claiming not to have done so. The authors include preliminary suggestions for those who staff and direct writing centers, specifically methods for adopting generative AI rather than flatly opposing it. We draw from student responses to a campus survey administered in 2023 and 2024, plus one partnership between AI and sixteen first-year students. Such adaptation to AI may prove particularly useful for those helping writers otherwise marginalized by socioeconomic background, neurodiversity, or personal identity. Finally, we advocate getting ahead of any administrative efforts to dictate terms for use of AI that may lead to reduced status, or outright elimination, of human tutors.

This study investigates student perspectives and usage of generative AI writing and learning tools, like ChatGPT, in their writing and learning processes through interviews with 15 undergraduate students at Middlebury College. Researchers uncovered how students perceive and interact with generative AI in their writing and learning practices. The study methodology consisted of semi-structured interviews, with questions focused on eliciting experiences and attitudes related to ChatGPT. Analysis of transcripts using open coding revealed that students found ChatGPT to be a helpful tool for structuring academic and personal writing and learning tasks. However, students also expressed ethical concerns about academic integrity and a range of positive, neutral, and negative attitudes towards using generative AI. Students actively using ChatGPT exhibited pragmatic attitudes about improving efficiency and productivity while non-users expressed reservations about intellectual impacts and cheating. First year students tended to have the strongest anti-ChatGPT sentiments. The researchers applied findings to writing center praxis, including training interventions focused on ethical technology use, student values, and workload pressures. The study underscores the importance of nuanced approaches to incorporating generative AI, in writing centers that consider its benefits alongside its ethical risks.

This article highlights ways writing center administrators (WCAs) can integrate Generative AI (GenAI) into tutor training, focusing specifically on role-playing exercises. Drawing on modified prompts from Mollick and Mollick (2023, 2024), I provide two scenarios for tutors-in-training: GenAI as Tutor and GenAI as Student. These scenarios allow tutors to engage with GenAI from both perspectives, offering opportunities to practice tutoring skills, reflect on their practices, and critically evaluate GenAI’s effectiveness as a tutor. Rather than presenting a formal research study, this piece aims to make the practice of using GenAI in tutor training more accessible by showcasing how prompts were adapted for a writing center context. While challenges in implementation remain, these activities demonstrate the potential benefits of incorporating GenAI into tutor preparation.

Innovation and technological adoption are continuous processes, which makes them difficult to periodize. At the same time, acquiring new tools and literacies inspires in the adopters a reflection, however brief, on their preparedness for the acquisition. Adopters may face the new technologies with confidence, excitement, curiosity, trepidation, or all the above. The emotions often result from a sense of how equipped adopters feel to receive the innovation. Yet the speed of innovation, and the social and professional need to keep up, might obstruct self-analysis that would ideally help define and sharpen the relevant skills and knowledge. This talking picture book documents how the Hendrix College Writing Center staff reflects collectively on the transition that the arrival of generative artificial intelligence has ignited. As of the Summer of 2024, our writing center has not yet implemented solid AI-related policies and procedures, working instead on research. By responding to four questions about encounters with AI with a still image and an accompanying oral, recorded narration, four student consultants and the center’s director make material memories about the current moment, which the rapid technological development has rendered elusive and even distant. The idea is to create a nostalgia for the present to intensify our recollections of the experiences and abilities that would enable us to interact and grow with AI when it becomes part of our regular operations. Keywords : technological adoption, the speed of technological change, assistive technologies, reflection, still photograph and the imaginary, voice recording and the real, preparedness This work—a collection of still images and voice recordings—examines a part of the process by which a writing center adopts a new technology—a reflection on the staff’s readiness. The Hendrix College Writing Center serves a small, liberal arts, private institution with around 1200 undergraduate students. With that in mind, we are designing procedures (for individual appointments, workshops, course collaborations, and so on) to tackle the AI-related needs of students and faculty. We have not formally implemented any of those procedures under the belief that we still need to learn more. Whether we will know when we have reached a critical mass of knowledge for the implementation to happen remains an open question (although we are certain the learning process will not stop). What we do know is how much self-reflection the recent prominence of text-generating AI has ignited in our center. Contemplation must eventually give way to actionable conclusions for the current moment, even if they might come with an expiration date. That fact does not mean we can’t extend the contemplation a bit longer for the purposes of investigating our Center and our campus at what will certainly be an inflection point. This piece attempts to stage two artificialities to give us more room to think and match the condition of its subject. The first artificiality concerns something that technological development never deliberately affords most citizens: a pause to consider who citizens are (a sense of their place in their lives and in their communities), and how ready they feel, before adopting a new technology. Everett M. Rogers’s (1962) technology adoption life cycle indicates that citizens incorporate technical advancements at different times, classifying them into five groups: “innovators,” “early adopters,” “early majority,” “late majority,” and “laggards” (p. 161). Given the particularity of the experiences and circumstances around every citizen, Rogers warns that models to track the timeline of technology diffusion across populations are “conceptual,” a useful tool to understand the impact of a continuous phenomenon and to identify trends. Something that becomes clear from following the spread of innovations is that innovators rarely spend time speaking to consumers about the effects and implications of their work before that work is widely available. Educational, legal, and governmental institutions struggle to anticipate technologically driven change. Instead, they react to every development. The lag happens because, for Preeta Bansal (quoted in Wadhwa, 2014), codified behaviors require social consensus, while technological innovation does not. The speed of the “technological vitalism” (p. 45) of which Paul Virilio (1986) speaks runs right past the much more difficult optimization of agreement. Our project is similar to Rogers’s in that it also exists on a conceptual plane: it conceives of a reflective stoppage in technological adoption as a situated, almost nostalgically defined period. This talking picture book imagines what it would be like to expand the reflection before a community (in this case, the writing center) creates protocols to mark the perhaps irreversible presence of artificial intelligence in their practice. Like Rogers’s device, making visual and aural mementos of the current moment means to contain, however abstractly, an ungraspable and ongoing process. Yet we differ from Rogers in one respect: “Each adopter of an innovation in a social system could be described, but this would be a tedious task” (p. 159).  As believers in the counterhistorical value of the anecdote, however, we propose describing this small group of adopters in some detail, so that a fuller picture of AI’s spread comes into view—one harder to categorize in one of the five groups above. We distinguish between that pause and the preliminary groundwork for institutional change because, so far, the preparation we have undertaken has relied on current, forward-looking research. The past, the a priori of our technological and disciplinary knowledge, always informs the envisioning of our future. Still, our center has not defined that past in concrete terms. We have not named what we possess that would let us inhabit a practice alongside AI. Defining our past would, in turn, clarify our present, a perpetually in-flux moment that never stands still long enough to comprehensively assimilate it. An analog detailing of the conditions that shape the adoption of new tools at the writing center appears in research on the selection of assistive technologies for writers. Nankee et al. (2009), for example, break down the factors involved in writing: visual perception, neuromuscular abilities, motor skills, cognitive skills, and social-emotional behaviors (p. 4). While the authors composed this list to select assistive technologies for students with disabilities, reading the factors makes it clear that anyone who intends to write or even assist in writing needs to consider them. The same can be said of the writing process itself. In a discussion about assistive technologies in writing centers, DePaul University blogger Maggie C (2015) cites a study by Raskind and Higgins (2014) that shows text-to-speech software enhanced proofreading for students with learning disabilities. In their analysis, Maggie C observes that the issues “that all writers struggle with (proofreading, catching errors, etc.) [aren’t] unique because the people in this study had learning disabilities” (para. 3). Indeed, this kind of capabilities analysis can apply to the writing center staffers as well. Even if right now we do not treat AI as an assistive technology, framing its adoption in terms of what prepares and allows us to incorporate it reveals areas of interest to influence our eventual policies. So we propose taking stock not just of our capacities but of our collective mood before letting AI take residence in our writing center. The piece represents how we have identified the signals of change, or how we have developed a notion, however tenuous, that a (perhaps paradigmatic) shift is coming. We are conscious that the past and present we will try to articulate are largely fictional—the second artificiality this work hopes to render. Artificial intelligence, and its applications to writing, have been with us for some time now. While students, faculty and staff at Hendrix College work, together and apart, to respond to its challenges and fulfill its opportunities, AI has made its way into our practice. To some extent or another, often inadvertently, we have adopted AI, further complicating our identification of a pre-AI moment. That fiction, however, remains useful because it will allow us to recognize (and perhaps even invent) qualities upon which we may rely to work with AI. Generative speculation represents a significant part of the exercise, as we list skills that both intuitively and counterintuitively empower us to face AI. It will also give us a reference point, a purposefully constructed memory of a period that we might need to revisit moving forward. It will provide a starting place for an approach to understanding the transition. Call it a preemptive act of writing center archaeology. We are building evidence for future excavations. To create a reflective pause, generate a fictional past, and capture a mood during transition, we turn to a multimodal approach combining photographs with voice narration. The process began with four questions: The authors shared still photos that reminded them of their encounters with AI. Then, they recorded spoken descriptions of the photos, explaining their relevance to the questions and the memories they elicit. At times, the question prompted only the recorded reflection. In those cases, the door to our old writing center supplies the background image. The result is organized by the questions but also allows the audience to view and hear it in any order as if browsing through a family album. The choices of modalities follow the ideas of theorists Vilém Flusser and Friedrich Kittler. For Flusser (2004), photography “ has interrupted the stream of history. Photographs are dams placed in the way of the stream of history, jamming historical happenings” (p. 128). It’s this “jamming” that makes still images an appropriate medium for this project, which temporarily and imaginatively arrests time to acquire an advantageous perspective on our history. On a personal level, we might be familiar with the connection between still images and remembrance. The essay is, in part, a picture book of our days before adding AI to our mission statement. The photographs literalize the piece’s title. As for the voice recordings, we recall how Kittler (1999), in his psychoanalytic analysis of media, associated the gramophone and its capacity to mechanically store and reproduce sounds with the Lacanian Real, or the part of the world that exists beyond human signification (p. 37). For Kittler, when we record someone’s voice, we capture words, but also the uninflected, unintentional, unstructured noises that reveal something true about the speaker. Our tone, tics, and silences (those sounds free of signifiers) express the authenticity of our responses to AI and our ideas of how it will alter our writing assistance. Kittler, incidentally, would have something else to say about photography to elaborate on Flusser’s thoughts. As a mechanically constructed image of the world, the photograph belongs to the Imaginary—it creates a double of the world onto which viewers can project their ideals. In short, the affordances of still photographs and voice recordings allow us to weave our imagined past and pair it with the real hopes, mysteries, and anxieties involved in our incorporation of AI. Our goal is to evoke our world before that revolution. Before moving on to the picture book, here are a few words of the Hendrix College Writing Center staff who participated in this project: In the writing center, I begin my sessions away from the page. I start a conversation sparked by questions like What do you want to say? What’s blocking you from that right now? What gets you fired up about this piece? I sprinkle in camaraderie and a touch of humor: Oh yeah that class is ridiculously hard or yeah one time someone came in here twenty minutes before their paper was due! The specifics vary, but the point is to create a space at the intersection of talking, thinking, and human connection. That’s where writing begins. It doesn’t spring magically into existence out of the end of a pen. I’m critical of that sort of “natural” approach to human writing. The idea that writing should “flow.” There’s nothing natural about the act of writing. It’s agonizing. It’s counterintuitive. So, I tend to start with conversation. I ask the writers who visit me to say what they’re trying to communicate. I let them think aloud until something greater than the separate pieces of our conversation emerges. Only then do we shape those thoughts into written form. I suppose I should mention my skepticism about AI. I’m not convinced AI can or will allow something greater to emerge. I’m reminded of Verlyn Klinkenborg’s (2012) description of cliché as “the debris of someone else’s thinking” (p. 45). Might that be an apt description of AI as well? To me, a writing center’s strength lies in its ability to create human connections. Before implementing AI in the writing center, we should ask ourselves how it supports that strength. My general approach to writing assistance is to analyze works for structural issues (how do ideas flow, satisfactory resolutions to concepts set up earlier, etc.) first and foremost and to center any aid around my findings. To me, AI has the downside of cheapening this process by reducing the structure of an essay into a template of what it could be, reducing the potential impact a work could hold. In addition, AI isn’t very good at following along with these threads of ideas when fed a paper, so it doesn’t do me much good to ask ChatGPT or so such about a paper I’m meant to look over. I approach my duties as a writing consultant as if I am helping a friend with their homework without doing it for them. I see myself as the bridge that connects their contemplation of the assignment to their final project. This approach consists of talking to me as if I am a friend, where I listen without judgment. They simply describe what they think the rubric means or, if they’ve already begun writing, what thought they are struggling to put on paper. From there, we work to make the thought clearer and the assignment criteria more reachable. I have seen firsthand how AI is a tool that can make the rubric digestible. It is a tool that can also help with spelling and grammar. This can be helpful because patrons are then able to enter the appointment already understanding the assignment, thus having questions and drafts ready. At the same time, however, AI can interfere as it makes it easier for someone to lapse in their work ethic, comprehension, creativity, and originality. When those lines are crossed, so is academic integrity. During my time as a writing consultant, I was a student majoring in psychology and minoring in biology. I think that my background in science afforded me a unique approach to writing assistance and writing in general, which contributes to my reservations about using AI in spaces of writing assistance. AI, by nature, does not allow that uniqueness or human variability, which can sometimes make all the difference in writing and helping others to write. In my experience, there are times in which the person-to-person conversations and connections create a soundboard that facilitates breakthroughs in a peer’s writing far more than any technical edits. Maybe it is arrogant, but even as AI continues to develop and earn its place as a supplement to writing assistance, I do not think it will ever replicate the peer-to-peer experience. As long as we respect AI’s limitations and honor the value of traditional writing assistance, I believe the two can work together to empower individuals in their writing journeys. If I invoke some clichés about mixed emotions at the arrival of generative AI, it is because they feel true. They also feel appropriate because I believe writing and writing assistance are about mixed emotions. I believe that, to find ways to express thoughts, writers and their readers need to embrace being a bit unsettled. I try to cultivate comfort with uncertainty as a necessary mindset for successful, truly exploratory writing. After advocating for such a double consciousness for years, I feel generative AI is the biggest challenge so far in practicing what I preach. Looking at the pictures we put together for this piece, I find great serenity— a reminder of how we reacted when we first realized how quickly a full-fledged essay could appear on an app’s screen.

As generative artificial intelligence (GenAI) tools develop, questions about the legality and ethics of their constitution arise. This conversation shaper calls on stakeholders in writing centers to begin meaningfully addressing that training methods for, and generated outputs of, popular GenAI tools exhibit source use which may not meet the current academic integrity standards widely upheld by writing centers. Acknowledging this dissonance in future discussions paves the way for responsibly and transparently incorporating GenAI into writing center work. It also ensures that we pay attention to new technologies (Selfe, 1999) and more critically interpret our reality via a multitude of perspectives (McKinney, 2013). The shaper concludes by contending that writing center workers, and in particular, peer tutors, are well positioned to act as thought leaders regarding the future of writing with GenAI.

This paper explores the implications of Artificial Intelligence (AI) on writing center instructions and presents a professional development workshop designed for writing center tutors to help them discover the affordances and the constraints of using AI in tutoring. Since AI became increasingly integrated in the academic environment, writing center tutors face new challenges and opportunities in supporting the students’ writing. The paper highlights key strategies for tutors to integrate AI awareness into their teaching practices, ensuring they remain effective in guiding students through the writing process while fostering academic integrity. Through a combination of theoretical insights and practical exercises, this professional development initiative promotes a balanced approach, emphasizing both the potential and limitations of AI in the writing center context. The goal is to prepare tutors for the evolving landscape of academic writing and enhance their ability to support students in a technology-driven educational environment. Keywords : AI policy, writing center practices, workshop, AI assisted writing, tutor training In the fall of 2022, a writer visited the Kathleen Jones Writing Center at Indiana University of Pennsylvania (IUP) to schedule a writing tutorial. Their main objective for the session was to ensure that their piece sounded more humane. During the session, the writer disclosed that their paper had been generated by ChatGPT and sought assistance to avoid detection by their professors. Although there was no existing policy on AI at the time, the tutor politely informed the writer that the center only worked with human-authored pieces. Following this incident, the director of the IUP Writing Center established an AI task force, with its first mission being the creation of an official AI policy for the center. As PhD candidates in Composition and Applied Linguistics, the task force members knew their AI policy should not violate the objectives of first-year Composition classes. As a result, the policy recognizes AI as “not reflective of a student’s own understanding and effort and, thus, is not acceptable, unless authorized specifically by the instructor/administrator.” The Kathleen Jones White Writing Center at IUP supports student success and engages in creating AI policies for the departments to implement in their classrooms. While concerns about AI’s potential to reduce students’ engagement with writing are valid, writing center tutors as well as students have also explored its potential benefits. For instance, ChatGPT could serve as a writing coach or a source of inspiration (Kleiman, 2022), or it might “support bottom-up writing skills, freeing up time, space, and energy for more advanced aspects of composition” (Daniel et al., 2023, p. 37). Mollick and Mollick (2023) provide a list of ways students can engage with AI as a partner in their work. For instance, AI can assist students in writing by offering real-time feedback, suggesting improvements in grammar and style, and providing creative prompts, allowing them to refine their work while enhancing their writing skills. Moreover, AI has the potential not only to enhance writing processes, but to transform or even redefine them—much like Google Docs redefined collaborative writing by enabling real-time, location-independent co-authoring (Puentedura, 2013). As a result of this growing body of literature that emphasizes the potential benefits of AI, the writing center held a tutor training about AI to help tutors direct their writers who use AI in the writing session. One of the ways to make writing center tutors aware of students’ challenges and concerns and help them overcome those challenges is to conduct a professional development workshop, which we did at Kathleen Jones White Writing Center. This workshop was designed and led in February 2024 and aimed to highlight the importance of creating a united AI policy to help tutors work with students who use AI tools to write their papers. It also aimed to help tutors discuss possible challenging situations around AI that they might expect in the writing center. One more goal of that workshop was to compare the feedback given by writing center tutors with AI feedback provided by ChatGPT to learn specific features of AI writing and to recognize its rhetorical moves. This workshop was titled Overview of AI Technology and its Relevance to Writing Center Support and consisted of four main parts: (a) discussion of different challenging issues concerning AI technology; (b) lecture and discussion, which focused on the introduction of AI and open discussion about its use; (c) an activity part that focused on proving different types of feedback and comparing human and AI feedback; (d) and creating a brief draft of a united AI policy that would help tutors work with students who use AI to write their papers.

This case study examines how collaboration between a writing centre manager and an educational developer created new opportunities to advance writing pedagogy at a mid-sized Canadian university. Initially born from our university’s response to generative artificial intelligence, our effort both responds to perceived threats to the future of writing studies and attempts to preserve our work through new opportunities. Collaboration between writing centres and faculty development is under-represented in the literature, yet we have found the marginality of the third space to be a productive one from which to grow our campus’ writing community from “under the curriculum” (Hunt, 2006, p. 371). In this paper, we present three examples of collaborations between a writing centre manager and an educational developer—creating a community of practice, facilitating workshops for graduate students, and presenting to our university’s Senate. The outcomes of our reflections offer perspectives on AI and writing pedagogy, highlight the importance of cross-unit partnerships, and illustrate how third space professionals can offer critical writing-related perspectives to institutions where formal writing programs do not exist—ultimately helping make visible the often decentralized work of writing studies professionals in Canada.