Module 3 – Mapping Ways of Knowing Across Research Communities
Map how five research communities differ: not just in methods, but in what they believe about knowledge, evidence, truth, and value.
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. The module moves in three stages. In Stage 1, you'll argue speculatively how three communities would approach the same question about GenAI and labor: what would they ask, how would they gather evidence, and what would their assumptions prevent them from seeing? In Stage 2, you'll shift from speculation to close reading: find a published article, identify its methodological community, and argue what epistemological assumptions are at work in its design. The Capstone brings both skills together. You'll build a visual map of three communities and use it to argue why the same research question produces fundamentally different investigations.
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.
This word cloud visualizes key concepts from the Mapping Knowledge assignment, illustrating how research methods emerge from distinct epistemological traditions. Larger terms—such as Epistemology, Research Methods, Methodological Communities, and Positivism—represent foundational ideas about how knowledge is produced and validated. Surrounding terms, including Creative, Design, Qualitative, Quantitative, and Scholarly Research Methods, reflect the diverse practices that scholars, creatives, developers, empiricists, and pragmatists use to generate and test ideas. The interplay among terms like Constructivism, Hermeneutics, Expressivism, and Post-Positivism reminds us that methodologies overlap and evolve through dialogue—each shaping, challenging, and extending our collective understanding of what counts as knowledge and truth.
Hallucination warning: applies to all stages
GenAI tools frequently fabricate plausible-sounding quotations. Before submitting any stage, use Ctrl+F to search the actual PDF for the exact words you are quoting. If you cannot locate a quotation in the source, rewrite it as a paraphrase you can verify.
Penalty: A hallucinated quotation or fabricated citation results in an F for that assignment. Repeated hallucinations across deliverables result in an F for the course.
Stage 1 · Oct 26
Research Methods and Methodological Communities
Speculative analysis · 400–500 words. Argue how three communities would investigate GenAI’s influence on labor.
100 pts · Canvas Discussion
Stage 2 · Nov 2
Epistemological Analysis
Close reading · 500 words. Find a published article and identify the epistemological assumptions at work in it.
100 pts · Canvas
Capstone · Nov 9
Mapping Ways of Knowing
Visualization + integrative narrative · 1,000–1,200 words. Build a map of three communities and argue what it reveals.
250 pts · Canvas · Metacognitive Report required
Stage 1 · Due Oct 26
Research Methods and Methodological Communities
Speculative analysis · 400–500 words · APA 7 required · 100 points
What this stage develops: The ability to see research methods not as neutral tools but as expressions of underlying beliefs about what knowledge is and how to test it.
Different research communities don’t just reach different conclusions. They trust different kinds of evidence and define credibility differently. This stage makes those differences visible by asking you to argue how three methodological communities would investigate the same research question: How is generative AI influencing labor, professional identity, and career trajectories?
You are writing as a methodologist: a specialist who studies how research is conducted. Methodologists are concerned not just with findings but with the ethics of how information is gathered, the validity of knowledge claims, and the transparency of the research process.
The prompt
Writing for your instructor and peers, choose three of the five methodological communities and argue how each would investigate the question: How is generative AI influencing labor, professional identity, and career trajectories?
Your essay should open with a brief introduction (100–150 words) that identifies the three communities you’ve chosen, states the research question, and makes a claim about what the differences between these communities reveal about how knowledge works. Don’t just announce your topic. Take a position.
Then develop one section per community under a clear heading. For each community, address three things:
1. What research question would this community actually form: not just what methods would they use, but what would they be asking?
2. What methods would they use to gather evidence, and what would count as a credible finding?
3. What would their epistemological assumptions cause them to see clearly, and what might those same assumptions cause them to miss?
A strong response doesn’t describe communities from the outside. It thinks the way they would think. Return to the five-community table on the course introduction page as your reference for each community’s epistemological assumptions.
Requirements
✓ 400–500 words excluding references; word count at the top
✓ Introduction (100–150 words) with a claim about what the community differences reveal
✓ Three community sections, each under a clear heading
✓ Each section addresses: research question formed, methods and evidence, what assumptions reveal and conceal
✓ At least two assigned readings cited in APA 7: at least one quotation and one paraphrase per reading cited
✓ APA 7 reference list at the end
Readings
Research Community: Methodological Community — read the full page including all five community profiles
Empirical Research Methods (includes Qualitative, Quantitative, Informal sub-articles)
APA 7 in-text citation format
When you cite a source, use author last name and year only: not full titles or first names. Those belong in the reference list.
Correct: Moxley (n.d.) argues…
Incorrect: In “Epistemology: Theories of Knowledge,” Joseph Moxley argues…
Hallucination warning
Before submitting, use Ctrl+F to verify every direct quotation against the actual source text. A hallucinated quotation or fabricated citation results in an F for this assignment.
| Criterion | What strong work looks like, and where students often fall short |
|---|---|
| Accuracy and Comprehension | Correctly identifies each community’s methods and connects them to their epistemological assumptions. Weak submissions describe what communities do without explaining why: listing “interviews” for Interpreters without connecting this to constructivist assumptions about meaning-making, for example. The analysis must show that the method follows from the worldview, not that you’ve memorized a list. Hallucinated quotation or fabricated citation: F for the assignment. |
| Application and Insight | The introduction makes a genuine claim about what the community differences reveal, not just a preview of topics. Each community section thinks from inside the worldview: naming the actual research question the community would form, not just listing its methods. The blind-spot analysis goes beyond “they would miss X” to explain why the epistemological assumptions produce that blindness. One sentence per community is not analysis. |
| Clarity and Style | Writing is clear, specific, and direct. Abstract nouns doing work that concrete examples should do, or sentences that announce a conclusion without building toward it, weaken the analysis. Word count met; APA 7 used correctly in-text and in reference list. See Brevity and Clarity if your prose feels generic. |
Stage 2 · Due Nov 2
Epistemological Analysis
Close reading · 500 words · APA 7 required · 100 points
What this stage develops: The ability to read a published study not for what it found, but for what it assumed: to identify the epistemological world the researchers were operating in and prove it with evidence from the text.
In Stage 1 you imagined how different communities would approach the same question. Now you find a real study and do the harder analytical work: identify which methodological community produced it, then argue what epistemological assumptions are operating in the research design, evidence choices, and knowledge claims.
This is not a summary. You are not reporting what the study found. You are analyzing how it was built: what the researchers believed about knowledge before they collected a single data point, and how those beliefs shaped everything that followed.
The prompt
Find a published empirical article in your area of interest or professional domain. It can come from JBTC, TCQ, or JTWC (the journals you’ve been working with), or from any peer-reviewed journal relevant to your field.
Write a 500-word close-reading analysis that does three things:
1. Identify which methodological community produced this study. Use the five-community table on the course introduction page as your reference. Name the community and commit to the identification.
2. Argue what epistemological assumptions are operating in the study. Don’t list assumptions in the abstract: show them at work in specific moments of the text. Quote or paraphrase passages from the article that reveal how the researchers defined knowledge, evidence, and credibility.
3. Identify one thing the study’s epistemological assumptions let it see clearly, and one thing those same assumptions prevented it from seeing. Ground both observations in the article’s actual text.
Your analysis should be a single unified argument, not three separate answers to three separate questions.
Requirements
✓ 500 words excluding references; word count at the top
✓ One published empirical article as the primary text; full APA 7 citation in the reference list
✓ At least two direct quotations or paraphrases from the article itself, cited in APA 7 with page or paragraph numbers
✓ At least one assigned reading cited to support your epistemological vocabulary
✓ APA 7 reference list at the end
Readings
These provide the vocabulary for your analysis. Cite at least one.
What to look for in the article
Epistemological assumptions rarely announce themselves. They show up in how researchers justify their methods, what they count as evidence, how they frame their research question, and what they claim their findings prove. A few places to look:
The research question itself: Is it asking for measurable patterns, situated meanings, design solutions, critical interventions, or expressive possibilities? The question type signals the epistemological world.
The methods section: What counts as data? How is validity defined? Does the researcher position themselves as a neutral observer or an engaged participant?
The findings and discussion: Are claims stated as facts, approximations, interpretations, or provocations? What does the researcher say their findings prove, suggest, or reveal?
The limitations: What does the researcher say the study cannot claim? Limitations often reveal epistemological commitments more clearly than the methods section does.
Hallucination warning
Before submitting, use Ctrl+F to verify every direct quotation against the actual article. GenAI frequently fabricates plausible-sounding passages from published studies. A hallucinated quotation or fabricated citation results in an F for this assignment.
| Criterion | What strong work looks like, and where students often fall short |
|---|---|
| Accuracy and Comprehension | Correctly identifies the methodological community and its epistemological assumptions. Quotations and paraphrases from the article are accurate and verifiable. Weak submissions name the community correctly but then describe its assumptions in the abstract rather than finding them in the article’s actual text. Hallucinated quotation or fabricated citation: F for the assignment. |
| Application and Insight | The analysis reads the article epistemologically: it finds assumptions at work in specific moments of the text and argues what they reveal and conceal. Strong submissions use the article as evidence, not as a topic to summarize. Weak submissions describe what the study found rather than analyzing how it was built. The blind-spot observation must be grounded in the text, not asserted from the outside. |
| Clarity and Style | Analysis reads as a unified argument, not a list of answers to three questions. Writing is clear and precise. Epistemological vocabulary is used accurately and drawn from the assigned readings. Word count met; APA 7 used correctly for both the article and any assigned readings cited. See Clarity and Flow. |
Capstone · Due Nov 9
Mapping Ways of Knowing
Information visualization + integrative narrative · 1,000–1,200 words · 250 points · Metacognitive Report required
What this capstone develops: The ability to represent complex epistemological relationships spatially, and to argue what that representation reveals about how knowledge works across communities.
You’ve spent two stages working with epistemological communities: first speculatively (how would they approach a question?), then analytically (what assumptions are operating in a real study?). Now you build the map. Choose three methodological communities and create a single information visualization that shows how each would approach the research question: How is generative AI influencing labor and job expectations?
The visualization is not illustration. It is the thinking. The integrative narrative argues what the map reveals.
Two terms you must distinguish
Research Methods: the specific tools or techniques used to gather and analyze data (a survey, an interview, a rhetorical analysis).
Research Protocol: the systematic plan or recipe for how the inquiry unfolds (First we do X, then Y, which produces Z).
Part 1: Information Visualization
Create one map (not three separate diagrams) that visualizes the research methods and protocols for your three chosen communities. The map should make visible:
The Flow: use arrows to show the protocol (order of operations)
The Inputs: which secondary methods (literature, archives) does the community start with?
The Actions: which primary methods (interviews, experiments, prototypes, textual analysis) does it perform?
The Evidence: what kind of data or artifact does the inquiry produce?
As you design the map, consider two additional dimensions for each community. First, the kind of knowledge the protocol produces: generalizable trends (positivistic), situated meanings (interpretive/qualitative), functional prototypes (design), critical interventions (scholarly). Second, the standard by which the community evaluates evidence: reproducibility (Scientists), transferability or credibility (Interpreters), practical utility (Designers), aesthetic resonance (Creatives), or critical rigor (Scholars). Make those distinctions visible in the visualization itself.
Required tools
Your visualization must be created in a digital mapping or design application: Canva, Miro, Lucidchart, Figma, Coggle, or a comparable tool designed for visual thinking. PowerPoint, Google Slides, and hand-drawn maps are not accepted.
Apply basic design principles (proximity, alignment, repetition, contrast) to make your map readable and coherent.
Part 2: Integrative Narrative (1,000–1,200 words)
Job 1: Your Argument (200–250 words)
Open with a claim that only someone who built this map could make. Don’t describe the 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? Answer this: what does mapping these three communities together reveal that looking at any one community alone could not?
Job 2: The Protocols in Action (600–700 words)
For your three communities, provide their recipe for inquiry on the research question: How is generative AI influencing labor and job expectations?
The What: name the specific primary methods, secondary methods, and evidence types each community would use.
The Why: explain what each community’s epistemological assumptions lead it to see, and what those same assumptions cause it to miss. (Why does the Scientist’s focus on measurable displacement prevent it from seeing what the Interpreter finds in workers’ own accounts of what their jobs mean?)
Don’t write three community portraits. Write one argument about what the differences between communities reveal about how knowledge works, and let the communities be your evidence. If you find yourself writing “The Scientists would do X… The Scholars would do Y…” in separate paragraphs, stop and restructure around the claim your map makes.
Job 3: Reflection and Tools (150–200 words)
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? Name which digital tool you used and identify one thing the process of mapping revealed that writing alone could not.
Submission
✓ Save narrative as PDF; include name and word count (minimum 1,000 words, excluding references) in the top-left corner
✓ Best option: Provide a live URL (Canva View Only link, Miro share link, etc.) at the top of your document
✓ Backup option: Embed a high-quality screenshot in the PDF. PDF compression often makes complex maps unreadable. If the map can’t be read, it can’t be graded.
APA 7 in the narrative
Every epistemological framework, methodological community descriptor, or knowledge concept drawn from the assigned readings must be cited when applied. 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.
In-text: author last name and year only.
Hallucination warning
Verify all quotations against the actual source text before submitting. Use Ctrl+F to search the actual PDF for the exact words you are quoting. If you cannot locate a quotation in the source, rewrite it as a paraphrase you can verify. A hallucinated quotation or fabricated citation results in an F for the entire assignment.
| Criterion | What strong work looks like, and where students often fall short |
|---|---|
| Application and Insight | The map and narrative build an argument about how knowledge works: they don’t illustrate definitions. Strong submissions explain why the same research question produces fundamentally different investigations, not just different methods. The narrative argues from the map, not around it. Job 2 is organized around a claim about what the community differences reveal, not around three community portraits delivered in sequence. |
| Accuracy and Comprehension | Demonstrates genuine understanding of epistemologies, methodological communities, research methods, evidence types, and the relationships between them, including what each community’s assumptions prevent it from seeing. Community labels used correctly throughout. Scientists are positivist/post-positivist: findings are provisional, not universal laws. Interpreters draw from multiple traditions simultaneously and are not simply post-positivist. Designers are pragmatist. Scholars are hermeneutic/critical. Creatives are aesthetic/expressive. Mixed methods is a practice, not a named community. Hallucinated quotation or fabricated citation: F for the assignment. |
| Responsiveness | Visualization and narrative both submitted; live URL or readable screenshot provided; all three jobs addressed; minimum 1,000 words; APA 7 citations present for all applied concepts. |
| Clarity and Design | Visualization is legible and applies basic design principles. Narrative flows as a unified argument, not a sequence of community summaries. Writing is clear, concise, and in standard written English. See Coherence and Unity if your narrative reads as a list rather than an argument. |
All Stages
Metacognitive Report
Required if GenAI was used · Attestation + table for Stages 1 and 2 · Attestation + table + 250-word narrative for the Capstone
For full guidance, examples, and the complete list of legitimate AI roles, see Metacognitive Report: AI Writing Ethics: Balancing Agency, Voice and Disclosure.
For Stages 1 and 2
Include a two- to three-sentence attestation confirming that you directed all GenAI use, reviewed and revised all AI-assisted content, and that the ideas, argument, and final language are your own. Then include a GenAI usage table (one table per tool used):
| Step in Writing Process | No. of Chats | Role | Notes on Use | Chat Log URL |
|---|---|---|---|---|
| Drafting: Stage 2 epistemological analysis | 2 | Thought Partner, Editorial Assistant | I asked Claude to help me identify the epistemological community in my chosen article. It suggested “post-positivist” based on the methods section alone, without engaging the research question or knowledge claims. I went back to the article and found that the framing of findings as interpretations, not facts, placed it clearly in the Interpreters community. I kept my own identification and used Claude’s error as a check on my reasoning. | https://… |
For the Capstone
The attestation and table are required, plus a minimum 250-word narrative with four sections:
Overview: Tools used and why
Critical Moments: 2–3 key iterations where your judgment diverged from the tool’s output and you took back control
Reflection: How building the map changed your understanding of the epistemological material, and how you maintained your own voice and judgment throughout
Takeaway: What you learned about working with GenAI on a task that requires spatial and visual thinking, not just prose generation
The Critical Moments section is the most diagnostic. A student who can describe two or three specific moments of redirecting the AI has demonstrated active rather than passive use. A student who cannot is probably using the AI as a ghostwriter and has no story to tell about their own thinking.
| Criterion | What Earns Full Points |
|---|---|
| Required Components and Specificity | Attestation, table, chat log URLs, and word count all present, accurate, and specific. Concrete examples from this assignment, no vague generalities. |
| Critical Analysis of Agency and Lessons Learned | Honest discussion of when and why you accepted AI-generated text, what you changed or kept, and what that choice reveals about your judgment as a writer. Accepted passages identified and defended, not just mentioned. |
| Clarity, Organization, and Authentic Voice | Logical flow, concise sentences; authentic voice evident. The report itself does not read as AI-generated. |
Reference
Key Terms and Concepts
What are the five methodological communities and their epistemological assumptions?
These five communities represent the foundational epistemic practices of organized inquiry. Each community’s worldview functions as an interpretive lens that shapes how its members define what counts as knowledge, frame research questions, select methods, interpret findings, and establish credibility.
| Community | Methods and Genres | Epistemological Assumptions | Axiological Assumptions |
|---|---|---|---|
| The Creatives | Iterative composing; successive prototyping of multimodal artifacts | Aesthetic and Expressive: knowledge emerges through sensory engagement and interpretive meaning-making | Self-expression; surprise; innovation; emotional resonance |
| The Designers | UX research; usability studies; agile development; participatory design; iterative prototyping | Pragmatism and Design Thinking: knowledge is generated through iterative problem-solving and stakeholder collaboration | User well-being; practical utility; stakeholder impact |
| The Interpreters | Ethnography; case studies; discourse analysis; grounded theory; semi-structured interviews | Interpretivism and Constructivism: knowledge is socially constructed, context-dependent, and shaped by culture and lived experience. Interpreters draw from multiple epistemological traditions simultaneously. | Contextual depth; participant voice; cultural sensitivity |
| The Scientists | Experimental studies; surveys; statistical modeling; big-data analysis | Positivism/Post-Positivism: knowledge consists of empirically verifiable facts. Findings are provisional, not universal laws. | Objectivity; reproducibility; statistical rigor |
| The Scholars | Rhetorical analysis; genre analysis; citation-practice analysis; intertextual analysis; archival research | Hermeneutics and Dialogism: knowledge unfolds through close reading, interpretation, and engagement with the ongoing scholarly conversation | Intellectual tradition; critical rigor; dialogic engagement |
A note on mixed methods: Researchers in any of the five communities may draw on tools from another tradition. Note that paradigms are not freely combinable: mixing positivist and interpretivist assumptions raises genuine philosophical tensions that must be addressed in the study design. See Mixed Research Methods.
What is epistemology, and why does it matter in professional and technical communication?
Epistemologies are systems of belief about how knowledge is constructed, validated, and communicated. They 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. Every community’s worldview functions as an interpretive lens that shapes how its members define what counts as knowledge, frame research questions, select methods for gathering evidence, interpret findings, and establish credibility.
In PTC, epistemological awareness is practical: when you collaborate with a scientist, a designer, and a scholar on the same workplace AI study, you are not just working across disciplines. You are navigating communities that hold different assumptions about what would count as an answer.
What are discourse conventions, and how do they vary across communities?
Discourse conventions are the norms governing communication within 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; in Module 3 you see how those conventions vary across methodological communities more broadly.
Consumers of research need to assess the ethos of investigators, checking for bias, conflicts of interest, and whether canonical texts are cited 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 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.
What research question would each community actually form?
Methods follow from questions. Before a community chooses a survey or an interview or a rhetorical analysis, it has already decided what kind of question is worth asking. These are not the same question dressed differently: they are genuinely different inquiries.
Scientists: How many jobs have been displaced by AI in measurable, statistically significant ways across industries?
Interpreters: How are workers constructing meaning around AI-driven changes to their professional identity and sense of purpose?
Scholars: What cultural and historical narratives about labor and automation does AI discourse reinforce or challenge?
Designers: What human-centered interventions could help workers adapt to AI-driven role changes without losing agency?
Creatives: What artistic or narrative forms can make the felt experience of AI-driven displacement legible to audiences who haven’t experienced it?
The scientist and the interpreter are not disagreeing about the answer. They are inhabiting different epistemological worlds.
Why does this module matter?
Audience awareness is job one for any researcher or consumer of information. To be taken seriously by different methodological communities, you must understand their conventions for conducting, interpreting, and reporting research.
Professional and technical writers frequently collaborate with subject-matter experts across fields. That collaboration requires the ability to recognize how different communities use methods to gather and make sense of data: not just what methods exist, but why communities trust the kinds of evidence they do. This module is where that recognition is built systematically.
It also prepares students directly for Module 4, where the epistemological distinctions developed here become the analytical tools for designing original research.
When is the Metacognitive Report required?
The Metacognitive Report is required any time you use GenAI on a deliverable in this module. For Stages 1 and 2, submit an attestation plus a usage table. For the Capstone, the attestation and table are required plus a minimum 250-word narrative with four sections: Overview, Critical Moments, Reflection, and Takeaway. Submit in the same Canvas dropbox as your assignment. For full guidelines, see AI Writing Ethics: Balancing Agency, Voice and Disclosure.
Learning outcomes (for instructors)
By completing this module, students will:
Analyze how epistemological assumptions (constructivism, positivism, post-positivism, hermeneutics, aesthetic/expressive epistemology, and pragmatic design thinking) inform the research practices of particular methodological communities
Recognize that methodological communities differ not just in methods but in what they believe knowledge is, how it should be tested, and who gets to decide
Read a published study epistemologically: identifying the methodological community, the assumptions operating in its design, and what those assumptions reveal and conceal
Demonstrate information visualization as a mode of argument, representing complex epistemological relationships spatially in ways that prose alone cannot capture
This module prepares students directly for Module 4, where the epistemological distinctions developed here become the analytical tools for designing original research.
References
Bruffee, K. A. (1984). Collaborative learning and the “conversation of mankind.” College English, 46(7), 635–652. http://www.jstor.org/stable/376924
