Rehuman Live examples

Worked Example 01

Intro Biology Lab Report + AI Data Interpretation

A student uses generative AI to interpret lab results, explain anomalies, and draft the discussion section before doing their own analysis.

DecisionRedesign

1 · Course Purpose

The lab report is not simply a polished scientific artifact. It forms observation, causal reasoning, evidence interpretation, and disciplined uncertainty.

2 · Student Formation

The student must become capable of moving from data to claim: noticing patterns, naming limits, explaining anomalies, and defending a cautious conclusion.

3 · Faculty Responsibility

Faculty must continue exercising assignment design, scientific judgment, feedback on reasoning, and discernment about whether the student understands the underlying method.

4 · Specific AI Use

AI is not merely checking grammar. It is generating the interpretation of findings, suggesting explanations, and drafting the discussion before the student has reasoned through the data.

Student Formation Test

The artifact may improve, but AI has supplied the central interpretive moves the lab exists to form.

Bypass

Faculty Formation Test

If faculty only grade the finished prose, AI can hide whether the student actually interpreted the data or merely submitted a convincing explanation.

Bypass

Decision bridge

Because the doing is formative and AI bypasses the interpretive work, the right answer is not a blanket ban or a hidden permission structure. Redesign the lab sequence so student reasoning is visible before AI support enters.

AI May

Help clarify prose after the student completes an initial interpretation; suggest possible alternative explanations for the student to evaluate; help format references or tables.

Human Must

Create the first claim-evidence-reasoning map; identify anomalies; name uncertainty; explain why one interpretation is stronger than another.

Evidence Required

Lab notebook entries, raw-data annotations, pre-AI interpretation paragraph, revised discussion with disclosure, and a brief reflection on what changed after AI feedback.

Governance Guardrail

Review for student data privacy, tool approval, lab-data confidentiality, accessibility, academic-integrity rules, disciplinary standards, and course-level AI disclosure requirements.

The goal is not to keep AI out of the lab report.It is to keep the student inside the act of scientific interpretation.

Facilitation Script

Ask faculty: What does this lab report form that a polished discussion section alone cannot prove? Then ask: where may AI improve the student's expression without doing the interpretation for them? The redesign point is simple: require visible reasoning before AI assistance.

Worked Example 02

Online Weekly Discussion Posts + AI-Generated Responses

A student uses AI to generate weekly discussion posts and replies that sound thoughtful but are not rooted in actual engagement with classmates or assigned texts.

DecisionRedesign

1 · Course Purpose

The discussion board is not merely a participation receipt. It exists to form reading accountability, interpretive voice, peer engagement, intellectual humility, and presence.

2 · Student Formation

The student must become capable of responding to a real person, naming what they noticed, asking a better question, and adjusting their view through encounter.

3 · Faculty Responsibility

Faculty must decide whether the discussion activity is actually forming dialogue or only collecting posts. They must design for meaningful exchange without creating unsustainable grading labor.

4 · Specific AI Use

AI drafts the original post and two replies from a prompt, producing acceptable academic language without the student reading closely or responding to a classmate's actual contribution.

Student Formation Test

AI can produce the appearance of engagement while bypassing reading, reflection, and relational exchange.

Bypass

Faculty Formation Test

Faculty may also be bypassed if they keep assigning generic posts that AI can satisfy without revealing whether learning or presence occurred.

Bypass

Decision bridge

Because the activity's stated purpose is formative presence and intellectual exchange, do not preserve the old discussion-board format. Redesign it around situated response, evidence of reading, and accountable interaction.

AI May

Help a student clarify a post after they draft it; suggest a sharper question; translate a student's rough idea into clearer prose with disclosure.

Human Must

Quote or paraphrase a specific peer; connect to a specific course text; ask a genuine question; name what they now see differently.

Evidence Required

Reply anchored to a named classmate's claim, short reading note, one original question, AI-use disclosure, and occasional live or recorded discussion check-ins.

Governance Guardrail

Review for FERPA/privacy concerns, student consent if AI processes peer writing, accessibility for asynchronous learners, academic-integrity policy, and expectations for civil discourse.

The goal is not to protect the discussion board.It is to protect the human exchange the discussion board was supposed to make possible.

Facilitation Script

Ask faculty: If AI can generate a polished reply, what would prove the student actually encountered another person's idea? The redesign move is to shift from generic posting to accountable response: specific peer, specific text, specific question, specific change in thinking.

Worked Example 03

Course Logistics + AI-Drafted Reminders and FAQs

A faculty member uses AI to draft routine reminders, assignment summaries, FAQ responses, and calendar nudges for students.

DecisionRelease

1 · Course Purpose

Routine logistics support learning, but writing the same deadline reminder or syllabus FAQ is usually not the formative center of the course.

2 · Student Formation

Students still need clarity, responsibility, and timely awareness. They do not usually need the instructor to handcraft every administrative reminder for formation to occur.

3 · Faculty Responsibility

Faculty should preserve judgment over tone, accuracy, exceptions, care, and consequence. But they do not need to preserve every low-value drafting task as human labor.

4 · Specific AI Use

AI drafts routine announcements, summarizes already-approved instructions, turns syllabus policies into FAQs, and creates reminder language for the LMS or email.

Student Formation Test

AI strengthens access to clear information and does not replace the student's responsibility to plan, read, submit, and seek help.

Low Formative Risk

Faculty Formation Test

AI replaces a repetitive administrative drafting burden, not the core faculty work of teaching, judgment, feedback, or mentoring.

Release Candidate

Decision bridge

Because the task is supportive but not itself a central formation practice, the appropriate move is to release routine drafting to AI while preserving accountable human review.

AI May

Draft routine reminders, simplify instructions, create FAQs from the syllabus, translate approved policies into student-friendly language, and generate first-pass announcements.

Human Must

Verify accuracy, approve tone, handle exceptions, decide consequences, respond to distress, and remain visibly available for matters involving care or judgment.

Evidence Required

Approved source policy, instructor review before posting, disclosure where appropriate, version history, and escalation path for sensitive student issues.

Governance Guardrail

Review for institutional tool approval, privacy, accessibility, translation accuracy, policy consistency, student-record rules, and avoidance of automated consequential decisions.

The goal is not to preserve every faculty task.It is to release low-value burden so faculty can reinvest attention in teaching, feedback, and presence.

Facilitation Script

Ask faculty: Is human performance itself the value here, or is this a support task that consumes time better spent elsewhere? If the task is routine logistics, release the drafting burden to AI but preserve human review, escalation, and responsibility.

Not every AI decision ends in preserve.

Three non-preserve decisions.

Intro Biology Lab Report + AI Data Interpretation

1 · Course Purpose

2 · Student Formation

3 · Faculty Responsibility

4 · Specific AI Use

Student Formation Test

Faculty Formation Test

Decision bridge

AI May

Human Must

Evidence Required

Governance Guardrail

Facilitation Script

Online Weekly Discussion Posts + AI-Generated Responses

1 · Course Purpose

2 · Student Formation

3 · Faculty Responsibility

4 · Specific AI Use

Student Formation Test

Faculty Formation Test

Decision bridge

AI May

Human Must

Evidence Required

Governance Guardrail

Facilitation Script

Course Logistics + AI-Drafted Reminders and FAQs

1 · Course Purpose

2 · Student Formation

3 · Faculty Responsibility

4 · Specific AI Use

Student Formation Test

Faculty Formation Test

Decision bridge

AI May

Human Must

Evidence Required

Governance Guardrail

Facilitation Script

Use the same structure across the institution.

Personhood

Answerability

Formation

Presence

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