Higher Ed AI Syllabus and Assessment Kit
Syllabus statements by course type, a dozen assignment redesigns, an integrity addendum, and the department memo. Ready before the semester, not after the first incident.
Answer the AI question in your syllabus before a student asks it, and grade assignments that still measure learning when everyone has the tool.
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The situation you are in
Your syllabus is due, and there is a paragraph in it you do not know how to write.
You already know what happened last term. The response posts stopped telling you anything. The mid-range essays got fluent and empty in the same way. You had a conversation with a student that went badly for both of you, based on a feeling you could not put into words, and you are not eager to have another one. Meanwhile a colleague down the hall is pasting essays into a chatbot to draft comments, your chair has mentioned "alignment" twice, and the university's official guidance is either three paragraphs long or does not exist.
You do not have a semester to work this out. You have a course to teach, a stack to grade, and — if you are an adjunct — two other institutions with two other policies.
What this kit is
A starting set for one instructor, that also scales to a department. Four syllabus statements, thirteen templates, a ten-chapter guide, and a two-meeting adoption path, written so a faculty member can produce a defensible syllabus statement in an hour and a redesigned assessment plan in an afternoon.
It is opinionated where opinions help. It says detection does not work and disclosure does. It says you cannot know, from a finished document, whether a machine wrote it, and that every plan built on you being able to know will fail. It says prohibition is a legitimate position that obligates you to pay for it in observed class minutes. It says a tool may help you write feedback and may never decide a grade. Where a course or a department reasonably differs, the templates leave room.
What is inside
- The guide. Ten chapters: what changed and what did not, the four positions a course can take, the integrity problem honestly, the four assessment moves that survive the tool, twelve redesigns walked through, the syllabus statement and the first-day conversation, feedback at scale without AI grading, the open-every-citation rule, accommodation and equity, and department alignment.
- Syllabus templates. Four statements — prohibited, permitted with disclosure, permitted and expected, set per assignment — with boundary language, the accommodation carve-out, and the consequence sentence.
- Integrity templates. An academic integrity addendum and a student disclosure form, both built on process rather than detection.
- Assessment templates. The twelve redesigns in full, a blank redesign worksheet, and an oral defense protocol with an equivalent-format option.
- Grading templates. A feedback rubric and a prompt set for comment drafting that never sends student work anywhere.
- Department templates. The one-page memo, the two-session meeting agenda, and the semester review checklist.
- START-HERE. A map that tells you what to read if you have one hour, one day, or one week.
Every template uses [BRACKETED PLACEHOLDERS] for course- and institution-specific items and carries a "How to adapt" note. They are plain markdown, so they paste into a word processor, a syllabus template, or a learning management system without fighting formatting.
Who wrote it and why he can
Wayne Bridges, a public-sector solutions engineer who builds and runs AI agent systems daily.
He is not an attorney. That is stated plainly at the top of every chapter that touches law, policy, HR, or procurement, and it is the reason the kit is built to be reviewed by the offices that own those decisions rather than adopted as-is.
What this is not
- Not legal advice. Your institution's integrity office, disability services, and counsel review what needs reviewing. The chapters are written so you can brief them efficiently, not replace them.
- Not a teaching philosophy. It does not tell you how to teach. It fixes the evidence you collect so that your teaching is measurable again.
- Not a product recommendation. No vendors are named, including detection vendors. Tools change monthly; the design rules do not.
- Not a way to catch students. If what you want is a reliable method for identifying AI-written text, this kit will tell you that method does not exist and then spend the rest of its pages on what to do instead.
- Not a finished department policy. It is about 80 percent of the way there. The last 20 percent is local: your integrity policy, your accreditation language, your colleagues.
Who should not buy this
- Faculty whose institution has already published AI syllabus language that the provost's office requires verbatim and whose assessment is already fully observed. You may still want the twelve redesigns; you do not need the statements.
- Anyone looking for a detector recommendation, a list of approved tools, or a way to prove a student cheated. The kit argues against the first, leaves the second to your institution, and says plainly that the third is not available.
- Anyone who wants the redesigns to require no class time and no additional reading on your part. Every move in chapter 4 costs something, and the kit tells you what, so you can decide rather than discover it in week 10.
If you are staring at a syllabus with a paragraph you do not know how to write, start with the four statements, read chapter 2 to pick one, and read the first-day script in chapter 6. That is an hour, and your first week is covered.
- Faculty and adjuncts who teach writing-heavy or problem-set courses and have no departmental guidance, a syllabus due in two weeks, and no interest in spending the semester on integrity cases.
- Department chairs and program directors who have been asked to 'align the department' without forcing every course into the same position or reopening the academic freedom argument.
- Instructional designers and teaching-center staff supporting dozens of faculty at once who need one vocabulary, one set of drop-in statements, and worked redesigns across disciplines.
- Four syllabus AI statements — prohibited, permitted with disclosure, permitted and expected, and set per assignment — ready to paste, each with boundary language, an accommodation carve-out, and the consequence sentence that points at your institution's policy instead of inventing a parallel one.
- Twelve assignment redesigns across writing, STEM problem sets, labs, case analysis, coding, language, studio, and seminar, each with what broke, the specific fix, what it costs you in class minutes, and the position it should carry.
- An academic integrity addendum built on disclosure and a process, not a detector, with the conversation to have when a submission does not add up and the guardrails to demand if your institution makes you use detection anyway.
- A grading-load plan that uses AI for rubrics, comment banks, exemplars, and problem variants without it scoring anything, plus the student-data rule that decides what you may paste where.
- A one-page department memo and a two-meeting adoption path, with the three objections you will get, the answers to them, and the May review that makes next year cheaper.
- 10-chapter guide, about 15,000 words, from what actually broke in the classroom through department alignment and the annual review
- 13 editable templates in plain markdown: 4 syllabus AI statements (prohibited, permitted with disclosure, permitted and expected, set per assignment), academic integrity addendum, student disclosure form, twelve assignment redesigns, blank assignment redesign worksheet, oral defense protocol, feedback-at-scale rubric and prompts, department memo, 2-session faculty meeting agenda, semester review checklist
- The four syllabus statements with boundary language, an accommodation carve-out, and a consequence sentence that points at your institution's policy instead of inventing a parallel one
- Twelve assignment redesigns as drop-in assignment-sheet blocks — student-facing text, what is submitted, the weights, and the AI label — across writing, bibliography, reading response, STEM problem sets, labs, case analysis, intro and upper-division programming, world languages, studio, graduate seminar, and presentations
- An oral defense protocol you can run in three to five minutes per student, with a published rubric, a question bank, and the equivalent-format option built in
- A feedback-at-scale rubric, comment bank, and six prompts, every one written so no student work leaves your hands
- The Four Syllabus Statements — the free one-page piece — included in full
- A START-HERE map that tells you what to read if you have one hour, one day, or one week, and which file to bring to which meeting
- Every policy-, integrity-, accommodation-, or procurement-shaped template opens with the non-lawyer disclaimer and a How to adapt note
- Updates for 12 months as institutional guidance, accreditation language, and the tools move
10 chapters · 13 template files · read on the site or download the zip.
The Four Syllabus Statements
One page, four paste-ready AI statements. Pick the one your course can actually carry. Free, no login.
- What changed in the classroom and what did not — Generative AI broke a specific set of assignments and left most of teaching untouched. This chapter separates the two so you spend the semester fixing the three things that are actually broken instead of rebuilding a course that was fine.
- Four positions a course can take, and how to pick — Prohibited, permitted with disclosure, permitted and expected, or set per assignment — each is defensible, each has a cost, and the wrong one is the one your assignments cannot carry. A decision procedure, and the four positions side by side.
- The integrity problem, honestly: detection does not work, process does — Why AI text detection cannot carry an integrity case, what a disclosure-based standard replaces it with, and how to run the conversation when you are convinced a student did not write the thing in front of you.
- Redesigning assessment: process evidence, oral components, in-class anchors, iteration — Four moves that make an assignment hold up with the tool in the room, what each costs in your time and in class minutes, and how much of your grade weight to move. The design rules behind the twelve redesigns in the next chapter.
- Twelve redesigns walked through — Twelve common assignments across writing, STEM, labs, case analysis, coding, language, studio, and seminar — what broke in each, the specific redesign, what it costs you, and the AI position it should carry.
- The syllabus statement and the first-day conversation — How to write the statement so students can follow it and so it holds up in an integrity case, where to put it, what the four kit statements do differently, and exactly what to say out loud in the first ten minutes of class.
- Feedback at scale without AI grading — Where a tool can legitimately help with your grading load — comment drafting, rubric construction, exemplar generation, question banks — the hard line at scoring, and the student-data rule that decides what you may paste anywhere.
- Research and citation: the open-every-citation rule — Fabricated and misattributed sources are the most common failure of AI-assisted research, and they are the one failure you can catch reliably. One rule, how to teach it, how to enforce it cheaply, and why it applies to your own work first.
- Accommodation and equity: access, disability, and the cost of tools — Where a blanket AI ban collides with disability accommodation, what to do when the paid tier is better than the free one, how observed assessment lands differently on different students, and the questions to take to your disability services office.
- Department alignment: the memo, the meeting, the review — How to get a department to a shared position in two meetings without pretending faculty agree, what belongs in the one-page memo, the agenda that actually converges, and the end-of-semester review that makes next year cheaper.
Is this legal advice?
No. The author is a public-sector solutions engineer, not an attorney. Every chapter that touches law, policy, HR, or procurement opens with that plainly, and every template carries a disclaimer. Your academic integrity policy, your disability services office, and your provost's or dean's office own the determinations. The kit gets you to a reviewable draft fast and tells you which office to take it to.
Will this work for my discipline?
The twelve redesigns cover writing, annotated bibliographies, STEM problem sets, labs, case analysis, introductory and upper-division programming, world languages, studio, graduate seminars, and presentations. Find the two or three closest to your course and adapt. The design chapter behind them is discipline-neutral: move some evidence into the room, require a history rather than an object, and grade judgment rather than fluency.
Does it tell me to ban AI or to allow it?
Neither, and it is opinionated about why. There are four coherent positions and the right one depends on whether the graded skill is the thing the tool does. The kit's default for the large middle of higher ed is permitted with disclosure, because it is the only position that is enforceable without either surveillance or naivety — and it says plainly that if you choose prohibition you owe yourself observed assessment to back it.
What about AI detection software?
The kit recommends against building anything on it and explains the evidentiary reason in detail: a detector score is not a basis you can defend in an integrity case, and its documented failure modes fall hardest on multilingual and rule-following writers. If your institution requires you to use one, chapter 3 gives you the minimum guardrails and the local false-positive count to bring to your chair.
I have a syllabus due in two weeks. How fast is this?
One hour gets you a syllabus statement and the first-day script. One afternoon gets you the statement plus two assignment patches, which is the right amount of work for most courses. A full redesign is a term-long project and the guide tells you how to know which one you actually need instead of doing more work than your course requires.
How current is it, and what happens when things change?
Written September 2026 against the tools, institutional guidance, and accessibility obligations in force then. All of it moves. One payment. When the kit is revised, the current version is what you see and download from your account, and the guide tells you what to re-check each May.
What is the refund policy?
30 days, no questions. If it does not save you a week, email and you get your money back.
Can I share it with my department and teaching center?
Yes. The license covers department-internal use: your colleagues, adjuncts, chair, instructional designers, and teaching-center staff. It does not cover reselling it, posting it publicly, or distributing it to other departments or institutions. If a neighboring department wants it, send them the link.
Higher Ed AI Syllabus and Assessment Kit. $59, once.
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