Top 10 AI Prompts and Use Cases and in the Education Industry in Lawrence
Last Updated: August 20th 2025

Too Long; Didn't Read:
Lawrence schools can accelerate safe AI adoption by piloting 10 classroom prompts across assessment, personalization, accessibility, VR social skills, tutoring, IEP monitoring, admin automation and CTE sims. Start with a 15-week AI Essentials course, 5–6 week pilots, and clear FERPA/COPPA governance.
AI matters for Lawrence schools because it's already reshaping instruction, policy and risk: the University of Kansas convened educators for an “Elevating Education with A.I.” conference featuring hands‑on “AI Playground” sessions and a KSDE keynote on May 29 (University of Kansas Elevating Education with A.I. conference coverage), the Center for Reimagining Education is coaching districts in‑place with cohorts that reached 30 teachers from six districts to personalize learning (Center for Reimagining Education district AI partnership), and Lawrence's ad hoc AI committee plus a federal lawsuit over the district's Gaggle surveillance tool underscore both the urgency of guidance and the stakes for student privacy; practical upskilling can help districts move from caution to classroom impact - local educators can start with targeted training like Nucamp's 15‑week AI Essentials for Work to build prompt and tool fluency (Nucamp AI Essentials for Work registration and program details).
Program | Length | Courses | Early Bird Cost |
---|---|---|---|
AI Essentials for Work | 15 Weeks | AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills | $3,582 |
“Our goal is to use AI as a lens to help schools think through how we personalize education,” said Bart Swartz, director of CRE.
Table of Contents
- Methodology: How we selected these prompts and use cases
- Panorama Solara: Personalized learning and adaptive instruction prompts
- Project iSTAR (KU): Next-generation assessment and feedback prompts
- Cloud4C GenAI: Accessibility, translation, and inclusivity prompts
- VOISS and iKNOW (Amber Rowland, KU): Virtual/immersive AR/VR learning prompts
- Carnegie Learning: Virtual tutoring/chatbot prompts
- Panorama Education (Intervention planning): IEP and progress-monitoring prompts
- engage2learn: Administrative automation and family communication prompts
- Pearson VR / KU CEEL: Career counseling and CTE simulation prompts
- FLITE Center (AAI) and AI Advocates podcast: Teacher support and professional learning prompts
- Cloud4C / Panorama: Security, integrity, and AI governance prompts
- Conclusion: Getting started with AI in Lawrence classrooms
- Frequently Asked Questions
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Methodology: How we selected these prompts and use cases
(Up)Prompts and use cases were chosen to reflect what Kansas educators already value: human-centered practice, legal compliance, and research-backed impact - criteria drawn directly from University of Kansas work such as AAI's campus-wide projects and trials (University of Kansas AAI research and trials on harnessing AI), the KU AI Taskforce's charge to align AI with institutional strategy (KU AI Taskforce overview and strategic alignment guidance), and the Center for Innovation's “Framework for Responsible AI Integration” that emphasizes educator oversight, FERPA/IDEA safeguards, and ongoing evaluation (Framework for Responsible AI Integration guidance from KU researchers).
Each candidate prompt was screened for classroom feasibility in Kansas settings, mapped to teacher workflows (IEP, assessment, language access), and required a clear human‑in‑the‑loop plan so districts gain immediate, low‑risk wins while building toward longer‑term, evidence‑based adoption.
Framework Recommendation |
---|
Establish a stable, human-centered foundation |
Implement future-focused strategic planning for AI integration |
Ensure AI educational opportunities for every student |
Conduct ongoing evaluation, professional learning and community development |
“We see this framework as a foundation. As schools consider forming an AI task force, for example, they'll likely have questions on how to do that, or how to conduct an audit and risk analysis. The framework can help guide them through that, and we'll continue to build on this.” - James Basham
Panorama Solara: Personalized learning and adaptive instruction prompts
(Up)Panorama Solara offers Kansas districts a purpose‑built way to turn linked student data into fast, actionable supports - generating plain‑language summaries, MTSS intervention plans, attendance nudges, standards‑aligned lesson tools and parent communications in seconds while keeping teachers in control; the platform pairs a library of ready‑made, customizable prompts with role‑based access so educators draft rubrics, IEP‑friendly interventions, and progress‑monitoring checkpoints without exposing student records to model training.
Built on AWS and integrated with Panorama Student Success and Pathways, Solara emphasizes research‑backed recommendations and strict privacy: SOC 2, FERPA, COPPA compliance and a no‑training policy for student data.
For Kansas leaders who need low‑risk, classroom‑ready AI that trims planning time and surfaces early‑warning indicators, explore the Panorama Solara product page and the catalog of 30+ AI prompts for K‑12 education to see concrete prompt examples and tools you can adopt districtwide.
Feature | Detail |
---|---|
Personalized supports | Generates intervention plans, lesson plans, summaries and attendance strategies from student data |
Privacy & compliance | SOC 2, FERPA, COPPA; does not use student data to train models |
Integrations & tools | Works with Panorama Student Success/Pathways, MTSS workflows, ready‑made prompt library |
“Educators are using a wide range of AI tools today, and it is starting to feel like the Wild West,” said Aaron Feuer, CEO and Co‑Founder of Panorama Education. “Solara provides educators with relevant, research‑backed advice, while protecting student data and supporting high‑quality instruction.”
Project iSTAR (KU): Next-generation assessment and feedback prompts
(Up)Project iSTAR (KU) can accelerate next‑generation assessment and feedback by adopting prompt templates proven in Kansas classrooms: draw on local district success stories - from Buhler to Jefferson County North - that showcase measurable gains in targeted interventions (Kansas district AI success stories for education), follow a practical 12‑month adaptation roadmap tailored to Lawrence schools to pilot, evaluate and scale formative‑assessment prompts (12-month adaptation roadmap for Lawrence schools AI assessment), and embed accessibility‑first designs using the classroom examples for IEPs so feedback is multilingual, scaffolded and audit‑ready (AI accessibility strategies for IEPs in Lawrence classrooms).
The concrete payoff: benchmarks already show measurable gains in Kansas districts, meaning carefully framed prompts - paired with human review and a staged rollout - can deliver faster, more equitable feedback without sacrificing educator control.
Cloud4C GenAI: Accessibility, translation, and inclusivity prompts
(Up)Cloud4C's GenAI toolset can make Lawrence classrooms more accessible and inclusive by turning speech recognition and precise, real‑time language translation into classroom tools - converting spoken lessons and materials into other languages and formats on the fly - and by powering AR apps that translate sign language for students with hearing or communication needs (see Cloud4C GenAI use cases in education Cloud4C GenAI use cases in education).
Built on cloud foundations that support continuous availability, these capabilities pair with CMS‑level accessibility features - closed captions, screen‑reader friendly layouts, and alternative formats - so teachers spend less time reformatting materials and more time guiding instruction (details on Cloud4C education transformation solutions Cloud4C education transformation solutions).
For Kansas districts already piloting AI, integrating these prompts can mean multilingual families receive translations in near real time and IEP teams access scaffolded, audit‑ready materials without adding extra prep hours (see local district AI in education success stories Lawrence K-12 AI education success stories), a concrete win for equity and teacher capacity.
Feature | Classroom Impact |
---|---|
Real‑time language translation | Immediate access to lessons for multilingual students and families |
Speech recognition & sign‑language AR apps | Inclusive access for students with hearing or communication needs |
CMS accessibility tools (captions, screen‑reader formats) | Less teacher prep; materials available in multiple accessible formats |
VOISS and iKNOW (Amber Rowland, KU): Virtual/immersive AR/VR learning prompts
(Up)VOISS - built at the University of Kansas to support middle‑school social skills - gives Kansas classrooms an evidence‑based, low‑stakes place for students to rehearse real interactions: the platform includes over 140 immersive school scenarios (cafeteria, hallway, bus, classroom) teaching roughly 180+ targeted social competencies and runs on phones, tablets, Chromebooks and VR headsets so districts can start small and scale up; the next iteration, iKNOW, layers AI‑driven, back‑and‑forth avatar conversations, real‑time speech transcription and educator progress tracking to create more natural practice and timely data for IEP teams (KU field visits report reduced confrontations when students could rehearse wording and read emotions in VR).
For Lawrence leaders seeking a concrete, low‑risk prompt set, VOISS/iKNOW prompts map directly to IEP goals, lesson plans and generalization strategies and can be paired with VOISS Advisor professional learning to shorten teacher prep time while improving student confidence (VOISS project, Amber Rowland KU interview).
Feature | Detail |
---|---|
Scenarios & skills | ~140+ scenarios teaching ~180+ social skills |
Platforms | Phone, tablet, Chromebook, Oculus/VR headsets |
iKNOW AI features | AI avatars, real‑time transcription, progress monitoring; $2.5M OSEP grant for development |
“I'm Amber Rowland. I am an associate research professor… I'm striving to use innovative technologies to help educators support all students, especially those who struggle.”
Carnegie Learning: Virtual tutoring/chatbot prompts
(Up)Carnegie Learning packages virtual tutoring into classroom-ready chatbot prompts that Kansas teachers can use today: LiveHint AI and MATHia provide math students with just‑in‑time, strategy‑focused hints - MATHia's AI is built on 25 years of learning‑science research and Carnegie's Large Math Model (drawn from 5.5 million students and 1.2 billion problem attempts) so the system detects common errors (for example, confusing when to add vs.
multiply fractions) and surfaces targeted remediation - while LiveHint delivers conversational, device‑agnostic textbook hints (no sign‑in required and a Spanish option) to keep students working independently without storing personal data (LiveHint AI virtual textbook hints, How MATHia uses AI for adaptive math coaching).
For world‑language practice, Carnegie's ready‑made ChatGPT prompt collections and ClearTalk activities offer role‑play and recorded conversations with immediate feedback and teacher transcripts, giving Lawrence teachers concrete prompts to expand practice time without adding prep hours (30 ChatGPT prompts for language learners and classroom activities).
The net effect for Kansas classrooms: more personalized coaching at scale and faster, evidence‑guided interventions teachers can oversee.
Tool | Classroom impact | Key fact |
---|---|---|
LiveHint AI | Real‑time textbook hints; accessible on any device; Spanish option | No personal data stored; beta sign‑up available |
MATHia | One‑to‑one adaptive math coaching; detects common student strategies and mistakes | Built on 25+ years of research; model informed by 5.5M students / 1.2B problems |
ClearTalk & ChatGPT prompts | Simulated conversations, recorded responses, transcripts and feedback for language practice | Teacher reviewable; scaffolded prompts for classroom use |
Panorama Education (Intervention planning): IEP and progress-monitoring prompts
(Up)Panorama frames intervention planning for Kansas IEP and MTSS teams around clear, data‑driven prompts - start by writing SMART goals, then prompt the system to assign an adult “champion,” select a Tier 2 or Tier 3 strategy, set a monitoring frequency (weekly is the common default), and choose a progress‑monitoring method so scores plot against baseline and target; Panorama's step‑by‑step templates make those prompts reproducible across classrooms and let Student Success teams share secure progress links with families while keeping data private (Panorama intervention plan template and how to write an intervention plan).
For Kansas schools that can't expand staff time, the concrete payoff is faster decisions and fewer wasted cycles: set a minimum 5–6 week duration to give interventions time to work, collect qualitative and quantitative notes, then use the platform's decision point prompts to exit, continue, or intensify supports based on evidence (Panorama progress monitoring fundamentals for MTSS and RTI).
Step | Classroom Prompt |
---|---|
Goal | Write a SMART goal for targeted skill (baseline → target). |
Champion & Schedule | Assign adult champion and monitoring frequency (weekly/biweekly). |
Progress Monitoring | Select PM method and log scores/observations; review after 5–6 weeks. |
engage2learn: Administrative automation and family communication prompts
(Up)engage2learn's ready-to-use “10 AI Prompts for Education Leaders” give Kansas and Lawrence administrators practical, scenario-driven language to automate routine workflows - draft family notices, translate and simplify district updates, generate talking points for school board or IEP meetings, and design inclusive family‑engagement events - so leaders spend less time on boilerplate and more time on student supports; paired with GroweLab's AI‑powered virtual assistant and on‑demand coach features, prompts can be copy‑and‑paste ready for GroweLab or mainstream LLMs, produce parent-facing multilingual drafts, and create data‑backed summaries for staff briefings (10 AI Prompts for Education Leaders, GroweLab on‑demand teacher support).
The concrete payoff for Lawrence districts: immediately reproducible templates for family outreach and meeting agendas that keep human review in the loop while reducing administrative churn - turn a single prompt into a polished, culturally responsive flyer or a short script for translators in minutes.
"Generate creative ideas for a family engagement event that introduces the role of AI in our schools in a way that's accessible and positive."
Pearson VR / KU CEEL: Career counseling and CTE simulation prompts
(Up)Pearson's MyLab now embeds Forage job simulations directly into courseware, giving Kansas career counselors and CTE instructors ready‑made prompts that let students practice authentic employer tasks inside their coursework - Forage sims are available in MyLab across 15 business and economics disciplines and Pearson+ will host nearly 350 simulations, and completed simulations can earn Credly badges so students can surface demonstrable work to employers (students who finish Forage work are reported to be over 2x more likely to land a job with that employer) (Pearson and Forage virtual job simulations announcement).
Paired with MyLab's experiential tools - Excel Grader, AI Study Tool, Dynamic Study Modules and Pearson Job Match - this creates prompt templates career staff can reuse to assign simulations, auto-grade projects, and award badges that make student skills portable (Pearson MyLab employability tools overview).
For hands‑on CTE pathways, immersive VR vendors like VictoryXR show how trades, healthcare and tech sims map to certification prep - giving Kansas schools concrete prompts to blend simulated practice with counselor checkpoints and verifiable digital credentials (VictoryXR CTE VR simulations for trades, tech, and healthcare); the practical payoff: verifiable student work and badges that employers can review in hiring decisions.
Tool | What it offers |
---|---|
MyLab + Forage | Embedded job simulations for 15 disciplines; nearly 350 sims in Pearson+; digital badging via Credly |
VictoryXR | VR CTE bundles (Trades, Tech, Healthcare) with simulation-based practice and certification-aligned content |
“Preparing for the workforce can be daunting for any college student. Now students can build their skills anywhere, anytime, inside the same trusted Pearson platforms they already use for their studies. This is yet another way we are helping students stand out from the crowd, bridge the gap between college and the workplace, and achieve their ultimate goal of landing a great job.”
FLITE Center (AAI) and AI Advocates podcast: Teacher support and professional learning prompts
(Up)KU's FLITE Center in Lawrence demonstrates how low‑stakes, technology‑mediated practice can reshape teacher readiness: a KU study found four pre‑service social studies teachers who rehearsed a lesson on Elie Wiesel's Night in a mixed‑reality simulation reported higher confidence afterward, even while the research flagged inconsistent source analysis and anxiety about handling traumatic history - a clear signal that practice plus focused PD closes dangerous gaps in content knowledge and classroom management (KU News report on FLITE Center mixed‑reality study).
For Kansas districts planning AI‑infused professional learning, this evidence supports programs that combine hands‑on simulation, clear competencies, and time for reflection - approaches recommended in national PD guidance that calls for sustained, choice‑driven AI literacy and classroom practice rather than one‑off seminars (Transforming teacher professional development with AI - NASSP guidance, What teacher PD on artificial intelligence should look like - EdWeek).
The so‑what is concrete: a short, simulated rehearsal can transform teacher anxiety into teachable routines, reducing the risk that novice instructors default to oversimplified narratives when students most need structured, trauma‑informed discussion.
Study detail | Finding |
---|---|
Setting | Mixed‑reality simulated classroom (FLITE Center, KU) |
Participants | Four pre‑service social studies teachers |
Lesson topic | Elie Wiesel's Night (Holocaust instruction) |
Key outcomes | Increased teacher confidence after practice; inconsistent use of source analysis; fear about handling antisemitic comments |
“I want to know more about how we can allow pre-service teachers to learn in practice before they are teaching difficult topics to real students in real classrooms.”
Cloud4C / Panorama: Security, integrity, and AI governance prompts
(Up)Kansas districts can pair Cloud4C's infrastructure and Panorama's classroom‑safe tools with a short, pragmatic AI‑governance prompt set that translates law into action: publish an AI Acceptable Use Policy tied to FERPA/COPPA and state rules, stand up a vendor‑review workflow that demands attestations and precise DPAs, and centralize a student‑data inventory so automated compliance workflows flag risky third‑party connections before teachers accidentally share PII. These steps reflect national guidance on the following legal considerations and the operational checklist privacy teams now use - practical moves include segmenting high‑risk data, hardening identity and audit logs, and limiting model memory with auto‑deletion windows (recommendations range from 90–365 days for chat transcripts) to reduce exposure.
The payoff is concrete: districts that automate governance see faster parent request response times and fewer compliance issues, and pairing Cloud4C's resilient platform with Panorama's no‑training stance creates an auditable trail that both protects students and keeps classroom AI useful for teachers.
For tools and templates, review a school data governance primer and a practical action plan aimed at districts implementing AI today.
no‑training on student inputs
legal ramifications of AI in schools
Metric | Value |
---|---|
Average EdTech tools per district | 1,449 |
Increase in cyber threats since 2023 | 18% |
Average cost per data breach (education) | $4.45M |
Conclusion: Getting started with AI in Lawrence classrooms
(Up)Start small, govern clearly, and train quickly: Lawrence leaders should turn the ad hoc AI committee into a standing task force that pairs KU's Framework for Responsible AI Integration - which insists on human-centered oversight, FERPA/IDEA safeguards, and vendor audits - with short, practical upskilling so teachers can pilot classroom prompts safely (KU Framework for Responsible AI Integration guidelines); the district's planned committee provides the right place to set policy, vendor-review workflows, and an opt-out/communication plan before classroom pilots begin (Lawrence USD 497 AI committee news coverage).
A concrete next step: enroll teacher-leaders in a focused 15-week, job-friendly course to build prompt fluency and then run a 5–6 week classroom pilot with human review at key decision points - this sequence moves Lawrence from abstract policy debates to tangible, auditable practice while keeping educators, students and families in control (Nucamp AI Essentials for Work 15-week course registration).
Frequently Asked Questions
(Up)Why does AI matter for Lawrence schools and what concrete steps should district leaders take first?
AI is already reshaping instruction, policy and risk in Lawrence - from KU's “Elevating Education with A.I.” convening to district coaching cohorts and local committee work. Practical first steps: convert the ad hoc AI committee into a standing task force; adopt a Framework for Responsible AI Integration emphasizing human-centered oversight, FERPA/IDEA safeguards and vendor audits; publish an AI Acceptable Use Policy; stand up a vendor-review workflow with DPAs and attestations; centralize a student-data inventory; and launch short, job‑aligned upskilling (for example, a 15‑week AI Essentials for Work course) followed by a 5–6 week classroom pilot with human review at decision points.
What are high-impact AI prompts and use cases Kansas educators can adopt right away?
Prioritized, low‑risk prompts map directly to teacher workflows: Panorama Solara prompts for personalized interventions and parent communications; Project iSTAR formative‑assessment and feedback templates; Cloud4C GenAI prompts for real‑time translation and accessibility; VOISS/iKNOW scenario prompts tied to IEP social‑skills goals; Carnegie Learning tutoring/chatbot prompts (LiveHint, MATHia) for just‑in‑time math and language practice; Panorama intervention planning prompts for SMART goals and monitoring; engage2learn administrative prompts for family outreach and board scripts; Pearson MyLab/Forage prompts for career simulations and digital badges; and governance prompts to operationalize vendor review, data segmentation and retention rules. Each is screened for classroom feasibility, human-in-the-loop oversight, and legal compliance.
How can districts protect student privacy and meet legal obligations while using AI?
Adopt an AI governance checklist: require vendor attestations and precise Data Processing Agreements, segment high‑risk data, harden identity and audit logs, limit model memory (configure auto‑deletion windows e.g., 90–365 days for chat transcripts), ensure tools are SOC 2/FERPA/COPPA compliant or explicitly state a no‑training policy for student data, and maintain an auditable student‑data inventory. Pair resilient infrastructure (e.g., Cloud4C) with classroom‑safe tools (e.g., Panorama Solara) and clear policies so pilots remain both useful and legally defensible.
What measurable classroom benefits should Lawrence expect from piloting these AI prompts?
Concrete payoffs shown in Kansas pilots include faster, more equitable formative feedback (Project iSTAR), time saved on planning and intervention generation (Panorama Solara), improved access for multilingual and disabled students via real‑time translation and AR sign‑language apps (Cloud4C), increased student practice and confidence through immersive scenarios (VOISS/iKNOW), scalable one‑to‑one tutoring and error detection in math (Carnegie MATHia/LiveHint), and more efficient family communication and admin workflows (engage2learn). Districts also report faster parent request response times and fewer compliance issues when governance is automated.
How should Lawrence schools design professional learning to build prompt fluency and reduce classroom risks?
Use sustained, practice‑based PD: enroll teacher‑leaders in a job‑friendly, multi‑week course (for example Nucamp's 15‑week AI Essentials for Work) to build prompt and tool fluency; combine hands‑on simulation (FLITE Center, VOISS) with clear competencies, reflection time and staged classroom pilots; require human review checkpoints during 5–6 week pilots; and prioritize content that aligns to local needs (IEP workflows, assessment, language access). Evidence shows short simulated rehearsals increase teacher confidence while exposing gaps PD can target, reducing the risk of mishandled instruction.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible