Mapping Ways of Knowing Across Research Communities

In the last two modules you began learning the dialects of research — the genres, citation practices, and stylistic habits that distinguish one community from another. This module asks a harder question: not how these communities speak, but why they see differently. As Bruffee (1984) argues, we don't just learn to talk differently when we enter a new community — we learn to think differently. A scientist and an interpreter looking at the same interview transcript aren't simply using different tools; they are perceiving different objects. The scientist sees data points to be aggregated toward a generalizable claim. The interpreter sees a singular act of meaning-making that resists aggregation. They aren't disagreeing about the answer — they're inhabiting different epistemological worlds. Mapping those worlds doesn't resolve the differences, but it does something equally valuable: it makes the differences visible, nameable, and available for analysis. That is what this module asks you to build.

In this module, you'll build a visual map of six major methodological communities — Creatives, Designers, Interpreters, Scientists, Synthesizers, and Scholars — and use it to argue why those communities would investigate the same question about generative AI and labor in fundamentally different ways. The map isn't decoration; it's the thinking. Behind every methodological choice is a set of beliefs about what knowledge is, how it should be tested, and who gets to decide — and this assignment makes those beliefs visible. This module develops two skills that will serve you throughout the course and beyond. The first is epistemological awareness: the ability to recognize how assumptions about knowledge shape what researchers study, what counts as evidence, and how authority is established. The second is information visualization: learning to represent complex relationships spatially so that connections and tensions become visible in ways that prose alone cannot capture.

A colorful word cloud featuring terms related to research and epistemology. Prominent phrases include Epistemology – What is Truth?, Research Methods, Methodological Communities, Positivism, Constructivism, and Creative Methods. Smaller surrounding terms reference specific methodological approaches such as Qualitative Research Methods, Quantitative Research Methods, Design Research Methods, Mixed Research Methods, Hermeneutics, Expressivism, and Post-Positivism, illustrating the diversity and overlap of research traditions.

Deliverables

If you used GenAI to complete any deliverable, you must also submit a Metacognitive Report. For the exercises, the report can be as concise as 250 words. For the Creative Challenge, the report should be more substantive because it should summarize how you used GenAI across the exercises leading up to and including work on the Creative Challenge. The goal of that report is to eflect on the key decisions you made independently to preserve your own voice and judgment, and explain how your use of GenAI evolved across the module.

A card-style infographic showing three sequential deliverables for Module 3: Mapping Knowledge. The module header is displayed in medium blue with white text and reads "Module 3 — Mapping Knowledge, Epistemologies, methods, and methodological communities, 3 stages." Below are three numbered rows, each with a blue left accent border and a numbered badge. Stage 1: Summary and Analysis of Readings — Research Methods and Methodological Communities, reading exercise. Stage 2: Summary and Analysis of Readings — Epistemology, reading exercise. Stage 3: Mapping Knowledge in PTC Research, marked as a Creative Challenge, 1000–1200 words.

Learning Outcomes

By completing this project, you will

  1. analyze how epistemological assumptions such as constructivism, positivism or post-positivism inform the research practices of particular methodological research communities—e.g., scholars, scientists, empiricists, or creatives
  2. understand commonly held values and discourse conventions across methodological communities. Cyes
  3. understand the utility and practice of visualizing information

Introduction to the Module

Imagine setting out on an expedition through unfamiliar terrain. In The Hitchhiker’s Guide to the Galaxy, Arthur Dent survives the sudden demolition of Earth with little more than a towel and a toothbrush. According to the Guide, a towel is the most useful item an interstellar traveler can carry.

That might work for a hitchhiker. But most of us prefer a map.This assignment asks you to build one. You’ll use information visualization as your cartographic tool to chart how epistemologies—belief systems about what counts as knowledge—give rise to six major methodological communities: CreativesDesignersInterpretersScholars, ScientistsSynthesizers.

Research communities—whether scholars, creatives, or empiricists—develop different ways of conducting research because they face different problems and goals, and because they hold different epistemological assumptions about what knowledge is and how to test the authority of knowledge claims (Bruffee, 1984). Each community has its own way of asking questions, gathering evidence, and establishing authority. Their research genres, voices, personas, perspectives, and point of views may vary dramatically. For instance, scientists avoid the first person and subjective impressions as they embrace the tenets of positivism. In contrast, scholars are more likely to use first-person in ethnographic, case study, autobographer and other and subjective arguments as they embrace hermeneutics and dialogism and debate canonical texts and scholarly conversations. However, scholars and researchers across methodological communities also share ethical practices, information literacy.

This is the third of five modules in the course. In Module 1 you developed a portrait of the PTC research community by analyzing its leading journals. In Module 2 you examined the genres — literature reviews and citation practices — that make scholarly conversation possible. Here, you go deeper: rather than asking what researchers do, you ask why they do it that way — and what those choices reveal about how knowledge itself is constructed. That foundation prepares you for Module 4, where you’ll critique research design and evidence, and ultimately for Module 5, where you’ll design your own study.

This assignment also introduces you to epistemology, the branch of philosophy that investigates the nature, origins, and limits of human knowledge. It asks you to consider how different methodological communities conceptualize what it means to know something rather than merely believe it. For instance::  

  1. The Creatives 
    Creatives often draw on aesthetic and expressive epistemologies — believing that sensory engagement and artistic exploration generate meaning.
  2. The Designers
    Designers operate from pragmatism and design thinking, viewing knowledge as emerging through iterative prototyping and stakeholder collaboration.
  3. The Interpreters (Qualitative Researchers)
    Interpreters foreground constructivist and interpretivist assumptions that all knowledge is socially constructed and context-dependent.
  4. The Scientists (Quantitative Empiricists)
    Scientists adhere to positivist and post-positivist philosophies, treating knowledge as objective, measurable, and generalizable.
  5. The Synthesizers (Mixed Methods Researchers)
    Synthesizers embrace pragmatism and dialectical approaches, integrating empirical rigor with contextual insight.
  6. The Scholars (Textual Researchers).
    Scholars rely on hermeneutic and critical theory frameworks, situating texts within their historical and ideological context.

This assignment also introduces students to epistemology, the branch of philosophy that investigates the nature, origins, and limits of human knowledge. It asks students to consider how different methodological communities conceptualize what it means to know something rather than merely believe it. For instance,

  • Creatives often draw on aesthetic and expressive epistemologies—believing that sensory engagement and artistic exploration generate meaning.
  • Designers operate from pragmatism and design thinking, viewing knowledge as emerging through iterative prototyping and stakeholder collaboration.
  • Interpreters foreground constructivist and interpretivist assumptions that all knowledge is socially constructed and context‑dependent.
  • Scientists adhere to positivist and post‑positivist philosophies, treating knowledge as objective, measurable, and generalizable.
  • Synthesizers embrace pragmatism and dialectical approaches, integrating empirical rigor with contextual insight; and
  • Scholars rely on hermeneutic and critical theory frameworks, situating texts within their historical and ideological context.

By creating visual representations of these relationships, students will develop a deeper understanding of how different ways of knowing influence research and interpretive practices across methodological communities.

Definition of Terms

In order to complete this assignment, you need to understand the following terms.

Epistemology

Epistemologies are systems of belief about how knowledge is constructed, validated, and communicated. These beliefs define what a community considers credible, significant, and knowable. They also embed axiological commitments—judgments about what is worth knowing and how research should be conducted ethically and meaningfully. Together, epistemology and axiology give rise to distinct methodological communities, each with its own values, language, and preferred practices.

Each community’s worldview functions as an interpretive lens that shapes how its members:

  • Define what counts as knowledge
  • Determine what is worth studying (axiology)
  • Frame research questions
  • Select methods for gathering and analyzing evidence
  • Interpret and report findings
  • Establish credibility and authority

Understanding these assumptions is essential for evaluating research and for participating in scholarly or professional conversations across disciplines.

Methodological CommunityMethods & GenresEpistemological AssumptionsAxiological Assumptions
The Creatives

Creative Researchers
Iterative composing; constant revision; successive prototyping of multimodal artifactsAesthetic & Expressive — knowledge emerges through sensory engagement and interpretive meaning‑making.Self‑expression; surprise; innovation; emotional resonance
The Designers

(Design Researchers)
UX research and usability studies; venture research and customer discovery; agile development; participatory design; iterative prototypingPragmatism & Design Thinking — knowledge is generated through iterative problem‑solving and stakeholder collaboration.User well‑being; practical utility; stakeholder impact
The Interpreters

(Qualitative Researchers)
Ethnography; case studies; discourse analysis; grounded theory; participant observation; semi‑structured interviewsInterpretivism & Constructivism — knowledge is socially constructed, context‑dependent, and shaped by culture and lived experience.Contextual depth; participant voice; cultural sensitivity
The Scientists

(Quantitative Empiricists)
Experimental studies; surveys; statistical modeling; big‑data analysisPositivism — knowledge consists of empirically verifiable facts guided by measurement and hypothesis testing.Objectivity; reproducibility; statistical rigor
The Synthesizers

(Mixed Methods Researchers)
Triangulation of quantitative and qualitative data (e.g., surveys + interviews; corpus analysis + discourse analysis)Pragmatic Dialectical — knowledge is validated by integrating multiple lenses to build a more comprehensive view.Comprehensiveness; methodological balance; practical relevance
The Scholars
(Textual/Scholarly Researchers)
Rhetorical analysis; genre analysis; literature‑review evaluation; citation‑practice analysis; intertextual analysisHermeneutics & Dialogism — knowledge unfolds through close reading, interpretation, and engagement with the ongoing scholarly “conversation.”Intellectual tradition; critical rigor; dialogic engagement

Discourse Conventions

Discourse conventions are the norms guiding communication in specific communities — the written and spoken rules, visual cues, and shared expectations rooted in each community’s values and practices. In Module 1 you analyzed discourse conventions in JBTC and TCQ; here you’ll see how those conventions vary across methodological communities more broadly.

Consumers of research need to assess the ethos of investigators to determine whether a study is worth reading — checking for bias, conflicts of interest, and whether the investigators are citing canonical texts accurately. Seasoned investigators understand they need to adopt the rhetorical stance expected by the community they are addressing: before writing a grant proposal, for instance, they study past proposals that were funded by the same agency. The same principle applies whether you’re writing for a scientific journal, a design client, or a scholarly audience — the community’s conventions determine what counts as credible, rigorous work.

An image of the research process. Around six human hands, multiple research methods are displayed: quantitative empiricists, scholars, creatives, qualitative empiricists, and creatives
Researchers have multiple methods to choose from, including creative, quantitative, qualitative, and scholarly methods.

Why Does this Module Matter?

Audience awareness is job one for any researcher of consumer of information.

If you want to be taken seriously by different methodological communities—The CreativesThe DesignersThe InterpretersThe EmpiricistsThe ScientistsThe Synthesizers, and The Scholars—you must understand their conventions for conducting, interpreting, and reporting research results. Research communities approach knowledge creation in distinct ways, shaped not only by their topics but by their assumptions about what counts as evidence and how knowledge claims should be tested.

To produce credible research, professional and technical writers need to master the epistemological assumptions, methods, and conventions that govern each community’s practices. Because you often collaborate with subject‑matter experts in other fields, you also need strong rhetorical reasoning and analysis skills to decipher how particular groups use methods to gather and make sense of data. Ultimately, choosing—and convincingly justifying—the right research methods for any audience hinges on your ability to grasp the values and practices of that community, whether you’re writing for a corporate client or the readers of a peer‑reviewed journal.

So, the bottom line here is that for you to determine which research methods should be used to produce authoritative research for a particular research community, you need to understand the epistemological assumptions, values, and practices of the research community you are addressing — whether that’s a client in a business setting or the readers of a peer-reviewed academic journal.


Exercises & Creative Challenge

Guidelines for Readings – Research Methods and Methodological Communities

Thought Experiment

Different research communities don’t just reach different conclusions — they trust different kinds of evidence and define credibility differently. This thought experiment makes those differences visible by asking you to imagine how three or more methodological communities would investigate the same question: How would they study GenAI’s influence on labor?

This assignment builds on your understanding of epistemology by introducing the research methods that different methodological communities use in practice. Where the previous exercise asked what knowledge is, this one asks how communities go about producing it. By the end, you should be able to recognize how a community’s epistemological assumptions shape not just what they study, but how they design their research, gather evidence, and establish credibility.

Writing for your peers, other methodologists, and your instructor, explain how different methodological communities (e.g., CreativesDesignersInterpretersEmpiricistsScientists, Synthesizers, or Scholars) would address the research question, How is Generative AI influencing labor, professional identity, and career trajectories?

For this project, you will act as a methodologist—a specialist who studies how research is conducted. Methodologists aren’t just interested in data; they are deeply concerned with the ethics of how information is gathered, the validity of knowledge claims, and the transparency of the research process.

Deliverable 1: The Data Visualization Table

Methodological CommunityResearch Methods Summary (Definitions & Evidence Types)How is Generative AI influencing labor, professional identity, and career trajectories?
The Creatives
The Designers
The Interpreters
The Scientists
The Synthesizers
The Scholars

This data visualization serves as a visual representation of your thought experiment. Use it as an analytical tool. In the first column, identify the methodological community. In the second, define their preferred research methods and the types of evidence they provide to substantiate their claims. In the third, consider the methods the community would use to address the research question: How would they study GenAI’s influence on labor?

Deliverable 2: Your Thought Experiment

Write a speculative analysis (400–500 words) exploring how at least three of the six methodological communities would investigate this research question, How would they study GenAI’s influence on labor?

For each community, explain:

  1. What methods would they use to gather evidence?
  2. What would count as a credible finding for their audience?
  3. What would they likely conclude — or remain uncertain about?

Requirements

  1. Place your name and total word count (excluding references; minimum 400 to 500 words) in the top-left corner of the first page.
  2. Cover at least three methodological communities
  3. Draw on at least two assigned readings (APA 7). Include at least one quotation and one paraphrase per reading. Use APA 7 for in-text citations and include References.
  4. Upload deliverables in .pdf or url. Submit deliverables to Canvas by the assigned deadline.

Readings

  1. Epistemology – Theories of Knowledge
  2. Evidence – Types & Functions
  3. Research Methods
    1. Creative Methods
    2. Design Research Methods
    3. Empirical Research Methods
    4. Scholarly Research Methods
    5. Mixed Research Methods
  4. Research Community – Methodological Community

Evaluation Criteria

Your work will be evaluated holistically across four equally weighted criteria:

Clarity and Style — Writing is clear, concise, and accurate; follows standard written English and APA 7 citation format.

Responsiveness — Includes all required parts and meets length and format requirements.

Accuracy and Comprehension — Correctly defines and explains each community’s research methods and demonstrates understanding of how methods connect to epistemological assumptions.

Application and Insight — Demonstrates genuine imaginative engagement with each community’s worldview. A strong response doesn’t just describe what a Scientist or Scholar would do — it thinks the way they would think, seeing the problem through their eyes rather than observing them from the outside.


Guidelines for Readings – Epistemology

The TensionPositivist ApproachPost-Positivist Approach
View of TruthTruth is out there, and we can find it exactly.Truth exists, but we can only approximate it.
View of the ResearcherThe researcher is a “disinterested” observer (a glass wall).The researcher is biased; we must use “triangulation” to fix the error.
GenAI & Labor Example“The data shows AI replaces 10 jobs; therefore, AI is a replacement tool.”“The data suggests AI replaces jobs, but we must account for how different industries define ‘replacement’ differently.”

Purpose

This assignment develops your understanding of epistemology — the study of how knowledge is constructed, validated, and communicated. Epistemological awareness is a practical professional skill: when you collaborate with subject-matter experts, evaluate a client’s research, or choose methods for your own study, you are making epistemological judgments whether you realize it or not. This assignment makes those judgments visible and deliberate.

Required Readings

  1. Epistemology – Theories of Knowledge
  2. Epistemology – What is Truth?
  3. Knowledge
  4. Knowledge Claim
  5. Rhetorical Knowledge
  6. Declarative Knowledge
  7. Procedural Knowledge
  8. Tacit Knowledge
  9. Dialectic
  10. Embodied Knowledge
  11. Positivism
  12. Post-Positivism

Instructions

Writing for your instructor and peers, develop a focused analytical essay that moves through the following progression:

  • Define epistemology. Explain how epistemological assumptions may inform the knowledge-making practices of methodological communities. Contrast the knowledge-making practices of different methodological communities. Examine the tension between Positivism and Post-Positivism. For example, how does a Scientist’s commitment to “Objectivity” (Axiology) shift when moving from a Positivist view (absolute truth) to a Post-Positivist view (probabilistic or fallible truth)? How does this shift change what they accept as valid “Evidence”?

Requirements

Submit a Word document or PDF to Canvas. Place your name and word count (excluding references; minimum 750 words) in the top-left corner of the first page. Use APA 7 for all in-text citations and include a reference list at the end. Include at least one quotation and one paraphrase from each source you cite, drawing from at least four readings.

Evaluation Criteria

Your work will be evaluated holistically across four equally weighted criteria:

  • Responsiveness — Includes all required parts and meets length and format requirements.
  • Accuracy and Comprehension — Correctly defines epistemology and key knowledge types; demonstrates understanding of how epistemological assumptions inform research practices.
  • Application and Insight — Demonstrates genuine imaginative engagement with each community’s worldview. A strong response doesn’t just describe what a Scientist or Scholar would do — it thinks the way they would think, seeing the problem through their eyes rather than observing them from the outside.
  • Clarity and Style — Writing is clear, concise, and accurate; follows standard written English and APA 7 citation format.

Guidelines for Creative Challenge – Mapping Research Methods in PTC

The Challenge

This assignment asks you to step into the role of a researcher. You will choose three different methodological communities and show how each one would build a unique “attack plan” to answer this question:

Research Question: How is generative AI influencing labor and job expectations?

Deliverables

Your submission has two parts:

  1. Information Visualization
  2. Integrative Readings
Introduction to the Creative Challenge

You’ve spent the first half of this semester building a vocabulary—epistemologies, methodological communities, and research methods. You now know that researchers across academic and professional disciplines can study the same phenomenon and produce fundamentally different accounts of it. This isn’t because one is “right” and the other is “wrong,” but because they hold different assumptions about what knowledge is and how to test it.

This is one of our most theoretical assignments thus far. Up to this point, you have been identifying and analyzing how others use research and citation. Now, you are being asked to step into the role of the researcher. To do this successfully, you must demonstrate how an abstract belief system (an epistemology) dictates a concrete research plan.

Defining Our Terms

Before you begin, you must understand the distinction between these two core concepts:

  • Research Methods: These are the specific tools or techniques used to gather and analyze data (e.g., a survey, an interview, a textual analysis).
  • Research Protocol: This is the systematic plan or “recipe” for your research (e.g., First we do X, then we do Y, which results in Z).
Part 1: Information Visualization (1 page, max 11″ × 17″)

Create one single map that visualizes the Research Methods and Protocols for three of the following communities:

  • The Creatives (Creative Researchers)
  • The Designers (Design Researchers)
  • The Interpreters (Qualitative Researchers)
  • The Scientists (Quantitative Empiricists)
  • The Synthesizers (Mixed Methods Researchers)
  • The Scholars (Textual Researchers)

Create a visualization that depicts the research methods you will use to produce knowledge claims (or dispute knowledge claims), such as

  • Primary research methods — original data collection through experiments, surveys, interviews, ethnographic observation, usability studies, iterative prototyping, rhetorical analysis, or creative production
  • Secondary research methods — synthesis of existing literature, citation analysis, genre analysis, systematic review, and intertextual analysis
  • Evidence types — quantitative data, qualitative data, textual evidence, visual or material artifacts, user feedback, and mixed data
  • Standards for evaluating evidence — reproducibility, transferability, credibility, reflexivity, aesthetic resonance, or practical utility depending on community

As you consider which types of methods to use for the distinct methodological communities, be sure to consider the kind of knowledge protocol produces (e.g., Generalizable Trends/positivistic knowledge, Situated Meanings/rhetorical or qualitative knowledge, Functional Prototypes, or Critical Interventions).

A Note on Format

Your visualization must be created using a digital mapping or design tool — Canva, Miro, Lucidchart, Figma, Coggle, or any comparable application designed for visual thinking — and submitted electronically. Apply basic design principles — proximity, alignment, repetition, and contrast — to make your map readable and coherent.

For each of your three roles, visually layout their Process:

  1. The Flow: Use arrows to show the Protocol (the order of operations).
  2. The Inputs: Which Secondary Methods (reading/archives) do they start with?
  3. The Actions: Which Primary Methods (interviews/experiments/prototypes) do they perform?
  4. The Evidence: What kind of data are they left with at the end?
Part 2: Integrative Narrative (1000 to 1200 words)
Job 1: Your Argument (200–250 words)

Open with a claim that only someone who built this map could make. Don’t describe your map — argue what it reveals. What does the overall shape of your visualization say about how knowledge works across these three communities? Where do their epistemological assumptions converge, and where do they come into irreconcilable tension? Your opening argument should answer the question: what does mapping these three communities together reveal about how researchers construct knowledge that looking at any one community alone could not?

Job 2: The Protocols in Action (600–700 words)

Address the research question: How is generative AI influencing labor and job expectations? For your three chosen communities, provide their “Recipe for Inquiry.”

  • The “What”: Name the specific Primary and Secondary Methods and Evidence Types from the Toolbox.
  • The “Why”: Explain what their mindset leads them to see—and what it might cause them to miss. (e.g., Why does the Scientist’s focus on “ROI” prevent them from seeing the Interpreter’s focus on “Anxiety”?)
Job 3: Reflection & Tools (150–200 words)

Reflect on your own position as a researcher.

  • Your Vibe: Which community’s worldview feels most aligned with your own assumptions about knowledge? What would you gain—or lose—by looking through a different lens?
  • The Visual Process: Briefly note which tool you used (Canva, PowerPoint, etc.) and one thing the process of mapping revealed that writing alone couldn’t.

A Note on APA 7 Style in Your Narrative

  1. Hallucination Warning
    • Verify all quotations against the actual source text before submitting. GenAI frequently fabricates plausible-sounding quotations — use Ctrl+F to search the actual PDF for the exact words you’re quoting before submitting. If you cannot locate a quotation in the source, rewrite it as a paraphrase you can verify. Hallucinated quotations will receive a 0 for the entire assignment.
  2. When you draw on a specific argument or concept from the assigned readings, cite it. For example: “Bruffee (1984) argues that knowledge is socially constructed through dialogue” requires a citation. General descriptors of communities do not.
  3. When you cite sources in your integrative narrative, follow APA 7 conventions: author last name and year are all you need in the text. Full titles and first names do not belong in the body of your analysis — they belong in the reference list. Compare these two versions:
    • Cluttered: “John Swales in Genre Analysis (1990) argues that research communities establish territory before identifying a niche.”
    • Clean: “Swales (1990) argues that research communities establish territory before identifying a niche.”

Submission Instructions

  1. Format: Your final narrative must be saved as a .pdf and uploaded directly to Canvas.
  2. Header: Place your Name and Word Count (minimum 1,000 words, excluding references) in the top-left corner of the first page.
  3. Visual Integration:
    • The Backup Option: If you cannot provide a link, you may embed a high-quality screenshot within your .pdf. However, be aware that PDF compression often “shrinks” complex maps in ways that make them difficult to read. If I can’t read your map, I can’t grade your argument!
    • The Best Option: Provide a Live URL (e.g., a “View Only” link from Canva, Lucidchart, or Miro) at the very top of your document. This allows me to see your work in high resolution and interact with your visual argument as intended.

Rubric

Responsiveness

Includes both the visualization and the narrative; meets length and format requirements; addresses all elements of the methodological ecosystem in relation to the research question.

Accuracy and Comprehension

Demonstrates genuine understanding of epistemologies, axiologies, methodological communities, research methods, and evidence types and the relationships between them. Definitions alone are not sufficient — understanding must be demonstrated through how accurately you deploy these concepts to explain why communities would approach the research question differently. This includes recognizing what each community’s assumptions prevent them from seeing, and identifying the ethical commitments that shape how each community gathers and validates knowledge.

Application and Insight

Demonstrates genuine imaginative engagement with each community’s worldview and explains the reasoning behind the map’s design. A strong response doesn’t just describe what a Scientist or Scholar would do — it thinks the way they would think, and uses the map to reveal why the same research question produces fundamentally different investigations. Note: organizing your narrative one community at a time — “The Scientists would do X… The Scholars would do Y…” in separate paragraphs — produces a list, not an argument. Your narrative should build a claim about what the differences between communities reveal about how knowledge works.

Clarity and Design

Visualization is legible and applies basic design principles; narrative flows as a unified argument — explaining the map’s logic and applying it to the research question — written in clear, concise, standard written English. Every epistemological framework, methodological community descriptor, or knowledge concept drawn from the assigned readings must be cited when applied — for example, invoking Bruffee’s (1984) concept of the “conversation of humankind” to explain how Scholars situate their work requires a citation. Applying a concept without attribution is the same error as omitting a citation anywhere else.


Guidelines for the Metacognitive Report

For detailed guidance, examples, and the complete list of legitimate AI roles, see Metacognitive Report – AI Writing Ethics: Balancing Agency, Voice & Disclosure.

Your report must include:

1. Header — Beneath your title, record left-justified:

  • Word Count / Name / GenAI Tools Used / Chat Log Links

2. GenAI Usage Table(s) — One table per tool with these columns:

  • Step in Writing Process (Prewriting, Drafting, Revising, etc.)
  • Number of Chats
  • Primary Purpose(s) (Thought Partner, Research Assistant, Teaching Assistant, etc.)
  • Notes on Use (2–3 sentences: what you asked, what the AI gave you, and whether you accepted, revised, or rejected it — and why)

3. Critical Reflection (minimum 250 words) — Explain:

  • Which roles AI played and why
  • At least one moment where you rejected or corrected AI output
  • How AI helped you learn something you then applied independently
  • Where you made decisions AI could not make for you

Submission Guidelines

Upload your report along with your assignment to Canvas by the required due date.

Evaluation Rubric

CriterionWhat Earns Full Points
Required components & specificity (header, table(s), chat logs, word count; concrete examples from every major assignment)Everything present, accurate, and specific — no vague generalities
Critical analysis of agency, iteration, risks, & lessons learned — including explicit discussion of when and why you accepted chunks of AI-generated text, what you changed or kept, and what that choice reveals about your judgment as a writerClear references to required readings; honest discussion of how you stayed in control; accepted passages are identified and defended, not just mentioned
Clarity, organization, & authentic voiceLogical flow, concise sentences, error-free PDF; authentic voice evident — writing does not read as AI-generated

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References

Bruffee, K. A. (1984). Collaborative learning and the “conversation of mankind.” College English, 46(7), 635–652. http://www.jstor.org/stable/376924

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