Top 10 AI Prompts and Use Cases and in the Education Industry in Milwaukee

Milwaukee educators should pay close attention to AI prompts and use cases because generative AI is already reshaping lesson planning, tutoring, and administrative workflows - areas EDUCAUSE calls prime opportunities for academic research, AI-assisted authoring, and teaching support (Generative AI in Higher Education - EDUCAUSE article).

State-level momentum matters locally: by April 2025 at least 28 states had issued guidance or task forces on AI in schools, signaling that districts will need clear policies and staff training (State AI Guidance for K–12 Education - Education Commission of the States).

National data shows students adopt AI far faster than instructors - so building prompt-design and evaluation skills is a practical way to protect academic integrity while unlocking personalization and admin time savings; practical resources and a 15-week option for workplace-focused prompt training are available (AI Essentials for Work - syllabus and course details).

Program	Details
Program	AI Essentials for Work
Length	15 Weeks
Includes	AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills
Cost (early bird)	$3,582
Syllabus / Register	AI Essentials for Work - Syllabus • Register for AI Essentials for Work

“This is an exciting and confusing time, and if you haven't figured out how to make the best use of AI yet, you are not alone.” - Bill Gates

This list was compiled by synthesizing publicly available Milwaukee- and Wisconsin-focused sources to surface AI prompts and use cases that are both practical and policy-aware: institutional guidance and professional-development inventories at UWM (see UWM CETL professional development programs and UWM Applied AI resources for educators), applied-education curricula and library guides from MATC and MSOE, local reporting on classroom practice and district decisions from Wisconsin Public Radio, and sector-wide conversations such as the ICDE webinar - plus local Nucamp analyses of workflow automation.

Selection criteria prioritized (1) direct classroom or administrative applicability in Milwaukee-area institutions, (2) alignment with existing training modalities and accessibility practices documented by CETL, and (3) ethical and practical considerations highlighted by local teachers and state guidance.

So what: prompts that cut routine scheduling and grading time were advanced where schools already permit targeted AI use (for example, some MPS teachers use AI to generate images but disable it for full-essay writing), making these items immediately adoptable for professional-development sessions and pilot programs.

UWM CETL Field	Value
Intended Audience	Course Coordinators, Dept Chairs, Instructors, Adjuncts, TAs, Staff, Students
Modality	Virtual, In-person
Frequency	Self-paced, Workshop Series, Every Semester, Annually, Monthly
Recording	Recording Available
Earnable Credentials	Badge

"If you want to use AI to proofread something, I think that's OK... But if you want to use AI to write your whole essay, not so much." - Abbey Osborn, Milwaukee Public Schools teacher

ChatGPT-style tutoring can scale personalized practice in Milwaukee classrooms by delivering just-in-time explanations, adaptive practice plans, and 24/7 homework support so students get help outside school hours while instructors reclaim planning and small-group time; vendor examples with teacher-friendly entry points include Khanmigo personalized tutoring with a dedicated Writing Coach (free sign-up), and research-backed models such as the Hunt Institute's Alpha School, where AI-powered core instruction can be compacted into about two hours a day to free afternoons for project-based learning - Alpha School model by the Hunt Institute.

Practical pilots in Milwaukee can start with free teacher tiers, combine AI dashboards with teacher oversight, and measure outcomes (engagement, mastery, time saved) before district-wide rollout; for evidence that AI tutors boost availability and study planning see QuadC's summary on AI tutoring benefits - QuadC overview of AI tutoring and student engagement.

Tool	Free teacher tier	Notable tutoring feature
Khanmigo	Sign up free	Personalized tutoring & Writing Coach
SchoolAI	Always free for teachers	Real-time progress dashboards
Flint	Free for up to 80 users	Custom 1:1 AI tutor (“Sparky”)

"It's like having a TA!" - Audrey Lamou, French teacher (testimonial about Flint)

Milwaukee instructors can save time and reduce confusion by dropping UWM CETL's ready-made language into course documents: CETL recommends an explicit syllabus policy that states whether AI is allowed, when it's permitted, how outputs must be cited, and - critically - that students include the prompt used when AI contributed to an assignment (UWM CETL AI and teaching templates for syllabus AI policy); the guidance also warns against uploading student-protected data to external tools and discourages reliance on imperfect AI-detection products.

Pairing that language with the UWM Library's citation and assignment-design guidance helps faculty redesign tasks (scaffolded prompts, process documentation, personal relevance) so AI use supports learning rather than masks it (UWM Library generative AI guidance for assignments and citation).

For campus communications and marketing contexts, follow UWM MarComm's transparency and verification steps when AI helps draft public-facing text (UWM MarComm guidelines for AI use in public communications); so what: a clear syllabus clause plus one scaffolded, prompt-driven assignment makes inappropriate full-AI submissions easy to spot and gives students a concrete expectation - paste your prompt, cite the tool, and reflect on its limitations.

Sample Syllabus Policy	Key Requirement
Allow full AI use	Must cite AI, include prompt, evaluate accuracy
Allow specific AI use	Name permitted tools/activities and citation rules
Prohibit AI use	Explicit ban; misuse treated as academic misconduct

Microsoft 365 Copilot offers Milwaukee instructors a practical way to speed formative assessment without surrendering oversight: use Copilot's protected chat to draft rubric-aligned comments, generate targeted “glow and grow” notes, and turn rubric criteria into scaffolded feedback templates that teachers quickly personalize before release (Microsoft Copilot for Education overview).

Pairing that workflow with the CDIL guidance - treat AI as a helper for timely, specific formative feedback while keeping human judgment for summative scores - keeps student privacy and academic integrity intact and gives faculty back the time to hold richer one-on-one conferences (CDIL guide on Generative AI for enhancing student feedback).

Practical steps: craft rubric-based prompts, run Copilot to produce annotation drafts, verify accuracy and alignment, and disclose AI use in the syllabus so students can learn from feedback rather than merely receive it; this approach turns grading bottlenecks into coaching opportunities that scale across hybrid and large-enrollment courses.

Use	Copilot advantage
Rubric-based feedback	Generates structured comments aligned to rubric criteria
Formative comments	Drafts timely, personalized suggestions for improvement
Efficiency + oversight	Speeds initial drafting while preserving instructor review

Milwaukee educators can use Delve AI's persona generator and digital-twin tools to create data-driven student personas that inform targeted outreach, scaffolded assignments, and tailored feedback - Delve advertises 24/7 digital-twin conversations and the ability to combine first‑party sources (Google Analytics, CSVs, LMS exports) so a course team can turn roster data into segmented student profiles and synthetic research results in minutes; the practical payoff is concrete: craft three distinct reminder messages based on persona motivations and test which one elevates office‑hour attendance before the next class.

Local teams can adapt Delve's persona-building steps (demographics, motivations, channel preferences) to classroom use by following Delve's persona guidance and pairing outputs with Milwaukee-specific process automation pilots to reduce outreach time (Delve AI persona generator and digital-twin tools, Delve AI candidate persona creation guide, Administrative process automation in Milwaukee education case study).

Delve Feature	Classroom use
Persona Generator	Segment students by motivation, channel, skill gaps
Digital Twin	Run synthetic interviews to surface preferred study routines (24/7)
Synthetic Research	Quickly test messages and assignment scaffolds with simulated students

“Delve AI is a great tool for data driven marketers. Understanding the customer reduces the cost to acquire them. Currently, most customer insights are based on anecdotal data - having this depth of information makes it easier to develop plans and target digital marketing activity.” - Kelly Slessor

Milwaukee institutions can accelerate curriculum innovation by adopting UPCEA‑informed prompts that turn employer conversations into stackable coursework: start by using the UPCEA playbook - a 54‑page field guide with lessons learned, 10 actionable next steps, and 10 case studies - to map employer needs to noncredit microcredentials and price/delivery decisions (UPCEA playbook: Accelerating Growth of Credential Innovation (54-page field guide)); then apply classroom-level prompts from “Ten Ways to S.K.I.L.L.” (for example, “Map a Microcredential Integration Plan” or “Embed a professional certificate as a supplemental module”) to align microcredentials with course outcomes, create modular assessments, and pilot stackable pathways that employers recognize (Ten Ways to S.K.I.L.L. strategies for industry-linked learning).

So what: a guided prompt-to-pilot sequence (playbook → course prompt → employer-validated microcredential) makes it practical for Wisconsin colleges to launch employer-aligned short credentials within a single semester and measure employer interest before scaling.

UPCEA Resource	Design Use
Playbook (54 pages)	Market research, employer engagement steps, scalable program templates
Ten Ways to S.K.I.L.L.	Classroom prompts for embedding microcredentials and mapping integration
Coffee Chat insights	Quality assurance and modularity strategies for stacking credentials

“This project allowed UPCEA to help 10 varied institutions engage more deeply with industry partners to create the building blocks for developing in‑demand microcredentials.” - Amy Heitzman, UPCEA

Milwaukee instructors can multiply prep productivity by combining ChatGPT-style prompts and Microsoft Copilot with modern AI slide tools that turn notes into polished decks: install SlidesAI's Google Slides add-on to convert a topic, script, or URL into a ready outline and theme (SlidesAI advertises native Google Slides/PowerPoint integration and “10X faster” deck creation) and use a ChatGPT-powered generator like Presentations.AI ChatGPT presentation generator to shave time to a first draft (the product cites a “50x time reduction” to first draft and brand-sync features), while Beautiful.ai automated presentation design enforces on-brand layouts automatically so no one is resizing at 2 a.m.

Pair Copilot's rubric-driven feedback drafts with an AI deck workflow and the practical payoff is immediate: less manual formatting and more scheduled one-on-one time with students.

For Milwaukee adjuncts and staff balancing multiple courses, swapping repetitive slide formatting for a prompt-driven pipeline converts weekly busywork into actionable student-facing time.

Tool	Key productivity benefit
SlidesAI	Native Google Slides/PowerPoint add-on; turns text or URL into slide outlines (advertised 10× faster)
Presentations.AI	ChatGPT-powered first-draft generator; claims 50× reduction to first draft and brand-sync
Beautiful.ai	Automated layout and brand consistency to eliminate manual formatting

Milwaukee campus and district offices can reclaim hours by combining tight, one‑page rubric templates with AI-assisted scoring and LMS integration: follow rubric best practices (single‑page, parallel language, student‑friendly descriptors) from NC State's template library to make criteria observable and scannable, then use standards‑aware AI tools to pre-score and batch feedback so instructors only verify and personalize results; platforms that align rubrics to state standards and the LMS can cut essay grading from roughly 10 minutes to about 30 seconds of AI pre-scoring per piece while preserving instructor judgment and consistency.

Start by adapting a single analytic or single‑point rubric for reuse across sections, plug that rubric into an AI grading path (CoGrader or Gradescope) for draft scoring and feedback generation, and automate routing and recordkeeping with a no‑code workflow tool so administrators see compliance and turnaround time at a glance - so what: schools get fairer, faster grades and free up instructor time for high‑impact coaching.

See NC State's rubric best practices for design, CoGrader's standards‑based grading + AI guidance, and Cflow's automation playbook for workflows.

Tool	Automation strength	Best for
CoGrader guide to standards-based grading and AI rubric assistance	AI rubric generation, state-standards alignment, LMS sync	Standards-based essay scoring and feedback
Gradescope and Canvas rubric outcomes best practices for large courses	AI grouping, rubric-driven analytics	Large courses, team grading
Cflow automation playbook for grading and assessment workflows	No-code workflow automation, LMS integration	Administrative routing, recordkeeping, and compliance

“CoGrader is designed to assist educators by streamlining the grading process with AI-driven suggestions. However, the final feedback and grades remain the responsibility of the educator.”

Waukesha County Technical College (WCTC) is building a workforce pipeline for Wisconsin's AI economy by combining credit programs, hands‑on lab space, and entrepreneur-facing accelerators: the Applied AI Lab and Corporate Training Center deliver short workshops and employer-focused upskilling, while credit pathways - from the 19‑credit Foundations of AI certificate to the two‑year AI Data Specialist associate degree and the AI Technician certificate - train technicians, data specialists, and analysts that local firms can hire immediately; WCTC also partners with gener8tor to run free cohort programs (gALPHA venture creation and the gBETA regional accelerator) that connect startups and small businesses with mentorship and an 800‑alumni network, making it practical for Milwaukee employers to pilot AI solutions and recruit talent.

For enrollment and upcoming workshops see WCTC's AI Programs page and the detailed Foundations of AI program and course listings for Business Applications of AI.

Program	Type / Time to Credential	Practical Benefit
Foundations of AI	19‑credit technical certificate (1.5 years)	Data skills to prepare AI inputs; hybrid/evening options
AI Data Specialist	62‑credit AAS (2 years)	Prepare, model, and implement ML solutions; eligible for financial aid
gALPHA / gBETA (gener8tor)	4 weeks / 7 weeks (cohort programs)	Free venture coaching, mentor network, startup acceleration

“We are pushing the envelope on artificial intelligence and we intend to lead indefinitely. WCTC is setting the pace for AI learning for business and industry in Southeastern Wisconsin.” - WCTC President Rich Barnhouse, Ph.D.

Milwaukee campuses and district IT teams can strengthen human-first defenses by running regular, role-specific phishing drills that combine Microsoft Defender's Attack simulation training (launch simulations from the Defender portal) with best-practice design: pick realistic social‑engineering techniques, target cohorts by role or department, assign immediate micro‑learning, and measure both predicted and actual compromise rates to set improvement targets (Microsoft Defender Attack Simulation Training portal).

Pair those technical capabilities with a responsible simulation playbook - define clear objectives and scope, avoid “gotcha” tactics, and provide constructive follow-up training and reporting - to keep simulations educational rather than punitive (2025 Phishing Simulation Guide by Can I Phish, Phishing Simulation Best Practices by IRONSCALES).

So what: run quarterly, role-segmented campaigns that auto‑assign short trainings for clickers and use Defender's reports to reduce vulnerability over time while preserving trust and avoiding alert fatigue.

Simulation step	Why it matters
Select technique & payload	Makes scenarios realistic and measurable (credential harvest, malware link, QR code)
Target users & groups	Enables role-relevant testing and reduces false positives
Assign training & landing page	Provides immediate, constructive learning after a simulated compromise
Review reports (predicted vs actual)	Tracks progress and informs frequency and content of future simulations

Summerfest Tech 2025 programming teams and Milwaukee presenters can use generative AI to turn a good idea into a CFP‑ready submission fast: feed the event CFP to an AI assistant to generate a concise, review‑aligned abstract, three clear learning objectives, and multiple title options that emphasize local workforce impact (see how to build prompts and put the CFP to work at How to use AI to draft a conference proposal - UC Davis guide); follow proposal‑crafting best practices - focus on a problem/solution, clear takeaways, and interactivity - from conference reviewers' guidance (Conference proposal best practices for learning professionals - The Learning Guild) and iterate quickly with GenAI to produce a polished 45‑minute session format plus three measurable takeaways in hours rather than days (Using generative AI for conference proposals - Anita Samuel).

So what: organizers can run a rapid local review cycle - AI drafts, faculty refine, and community partners (labs, accelerators, or WCTC cohorts) are engaged sooner - turning one accepted session into a concrete pipeline for local demos and employer connections.

“Generative AI isn't just a shiny new tool in our kit. I believe its imminent boom will redefine the jobs in the AEC industry, making adoption critical.” - Kumar Parakala

Milwaukee institutions ready to move from discussion to action should pair the Wisconsin DPI's practical guidance on K–12 AI policy with UWM's generative‑AI policies for data classification and transparency, then run short, measurable pilots that combine syllabus language, instructor prompt training, and one scaffolded assignment to test both learning and integrity safeguards - start by convening a cross‑stakeholder committee (faculty, IT, students, legal, family liaisons) to adopt DPI recommendations and align tool use with UWM's security and review rules; next, enroll a 15‑week practitioner cohort to build prompt‑writing skills and classroom workflows (safe Copilot/rubric feedback + supervised ChatGPT tutors) so instructors can reclaim planning and small‑group time while students practice citation and prompt disclosure.

Local context matters - districts vary (some MPS devices restrict ChatGPT), so publish clear, readable AUPs, monitor outcomes (policy clarity, time saved, student mastery), and scale the quickest wins.

For ready training and a concrete starting point, consider a 15‑week staff cohort: Nucamp's AI Essentials for Work provides foundations, prompt practice, and job‑based application to put pilots into practice quickly.

Bootcamp	Length	Early-bird Cost	Links
AI Essentials for Work	15 Weeks	$3,582	AI Essentials for Work syllabus - practical AI skills for the workplace • Register for AI Essentials for Work

“Students are excited about AI, and we want to empower educators to embrace the opportunity to teach students how to use AI responsibly.” - Wisconsin State Superintendent Dr. Jill Underly