Top 10 AI Prompts and Use Cases and in the Education Industry in St Paul

For Saint Paul Public Schools (SPPS), smartly written AI prompts can shift generative tools from a cheating concern into a classroom ally that personalizes lessons, speeds feedback, and lightens administrative load - a change shown to save some teachers nearly 5.9 hours per week on routine work.

Local leaders should weigh the clear benefits (personalized practice, instant feedback, multi‑language support) against data privacy, bias, and equity risks highlighted in research: only about 18% of K–12 teachers reported using AI for teaching in fall 2023, so professional development and clear guardrails are essential.

Districts can draw on practical roadmaps and vendor guidance when building policies and evaluation systems - Panorama's guide for district leaders for implementation steps, the RAND report on AI use in K–12 for adoption data, and the Friday Institute study for themes on ethics, equity, and keeping the educator in the loop.

Selection prioritized practical safety and local fit: first, every prompt had to pass a FERPA/COPPA safety screen and data‑lifecycle check (map a single data point's journey from “Submit” to deletion) using the step‑by‑step checklist from SchoolAI to vet vendor practices and technical safeguards; second, alignment with Minnesota guidance and district priorities mattered - state guidance calls for equity, human oversight, and AI literacy, so prompts were scored for accessibility and educator control; third, tools already cleared for Saint Paul staff (like Google Gemini and NotebookLM) were weighted higher because SPPS provides account‑level protections and staff training that reduce privacy risk; fourth, pedagogical value and time‑savings were measured against real classroom workflows (lesson planning, differentiation, formative assessment) and triage use of grading assistants rather than replacement; finally, each use case was pilotable with clear monitoring metrics so districts can audit, iterate, and retire prompts that raise accuracy or equity concerns.

For the full district resource pages consulted, see SPPS's AI guidance, the SchoolAI FERPA/COPPA checklist, and Minnesota Department of Education AI guidance.

“I'm not here to wow you. I'm here to scare you with legal stuff.”

Google's Gemini in Classroom brings more than 30 no‑cost AI tools to educators with Google Workspace for Education accounts, and for Saint Paul Public Schools that could mean faster lesson drafting, re‑leveling texts for multilingual learners, and quick quiz generation that exports to Forms - practical features that pair with district priorities on differentiation and time savings.

Gemini's classroom roadmap includes teacher‑led NotebookLM study guides and “Gems” (custom student agents) - imagine a “Quiz me” Gem tied to class materials or a podcast‑style audio overview of a unit that students can listen to on the bus - and institutions are even encouraged to add state standards to CASE Network 2 so analytics and tagging can align with Minnesota learning targets.

Built‑in admin controls, enterprise‑grade protections, and LearnLM's pedagogy focus aim to keep educators in charge while surfacing actionable insights on progress and misconceptions, but districts should still vet settings and roll‑out plans before broad use.

For implementation guidance and feature details, see the Google Classroom launch notes for educators and the Gemini for Education overview for schools.

“Gemini in Classroom saves me hours on planning and support, fostering a more inclusive and engaging classroom.”

Khanmigo, Khan Academy's nonprofit AI, offers Saint Paul Public Schools a district‑ready path to 1:1 tutoring and teacher time‑savings: districts can partner to unlock an “AI tutor for all,” teacher dashboards, rostering support and custom rollout help that make it easier to hit recommended usage (district partners are 10x more likely to reach that dosage) and - when used as recommended - see roughly ~20% higher‑than‑expected learning gains on MAP Growth assessments; districts can learn more on the Khanmigo district program page at Khanmigo district program details and partnership information.

Teachers who prefer to start small can sign up for free teacher access and use Khanmigo's Writing Coach and prep tools to clear routine prep faster - see the Khanmigo teacher resources at Khanmigo teacher resources and Writing Coach access.

Safety features matter locally: reporting has shown Khanmigo can flag concerning student activity so schools can triage and connect students with counselors when needed - read the CBS News report on classroom AI interventions at CBS News coverage of AI interventions in classrooms, making it a promising, monitored option for Minnesota classrooms that need scalable tutoring, clearer progress signals, and professional learning supports rather than one‑off experiments.

Panorama Solara brings a privacy‑first, K‑12 tuned AI to districts that need faster, data‑grounded action - especially useful for Minnesota schools wrestling with chronic absenteeism and rising staff loads - by surfacing attendance, academic, and behavior flags in seconds and turning them into ready‑to‑use plans and prompts.

Built to plug into Panorama Student Success workflows, Solara's Power Search and Insights can generate three clear takeaways per student, draft evidence‑based SMART goals, and even create leveled or translated reading passages for multilingual learners, so teams spend less time hunting data and more time helping students; Laguna Beach used Power Search to pull “the top two, three, five, or ten students who need attention,” a practical triage that districts can replicate.

Security and governance are central: Solara was designed as stateless (no student data used to train models), runs on Amazon Bedrock with Anthropic models, and emphasizes SOC 2 and Student Privacy Pledge compliance - details available on the Panorama Solara product page and in the Panorama Laguna Beach case study, with technical architecture and privacy notes described in Panorama's AWS technical architecture and privacy write-up.

“Power Search has been a game changer for us because it quickly identifies the right students who need support.” - Laguna Beach Unified School District

NotebookLM can be a practical, source‑grounded workhorse for Saint Paul educators who need fast, verifiable materials: upload PDFs, Google Docs, or web links and NotebookLM auto‑generates briefing docs, study guides, FAQs and even podcast‑style “Audio Overviews” that are downloadable for on‑the‑go listening - features explained in Google's Audio Overview post for NotebookLM and a hands‑on DataCamp guide to using NotebookLM.

Its strength is fidelity: by grounding answers in the exact documents you supply, NotebookLM surfaces numbered citations that let teachers trace every claim back to the source and avoid embarrassing fabrications, a reliability the NotebookLM deep‑dive analysis calls “Swiss‑banker” steadiness.

For SPPS this means turning dense district reports or curriculum packets into lesson summaries, leveled reading supports, or short audio briefs for families while preserving provenance; notebooks can hold up to 50 files (each up to ~500k words), and Google notes that uploaded data isn't used to train the model.

Audio features remain experimental - English‑only and occasionally inaccurate - so human review and district privacy checks are still essential. See the source‑grounding experiment and practical how‑tos for details.

Overall Assessment: While the source aims to highlight alternative perspectives in Mathematics, many of its proposed methods and interpretations lack mathematical validity and lead to incorrect results.

OPIT's AI Copilot signals a practical path for Saint Paul Public Schools to move routine grading and staff‑facing workflows from late‑night drudgery to daytime intervention: the Copilot explicitly supports automated grading for multiple‑choice and single‑answer exams, letting teachers shift time from scoring to targeted feedback and student support - a change backed by workflow research showing educators can spend 10–15 hours a week on grading and that AI systems can cut marking time dramatically (OPIT AI Copilot overview - revolutionizing online learning).

Coupling a grading copilot with district workflow tools can also automate routing, approvals, and parent or counselor notifications so staff spend less time chasing paperwork; practical guides on automated assessment workflows explain how to pick the right assessment types, keep human oversight for subjective pieces, and integrate no‑code automations to preserve consistency and reduce bias (Guide to automating grading and assessment workflows).

For SPPS teams already using Google Workspace, platforms that weave automation into Google apps show how to lock down admin tasks, speed onboarding, and free hours for instruction and family outreach (Zenphi education workflow automation for Google Workspace), making OPIT‑style copilots a realistic, time‑saving complement when piloted with safeguards and educator control.

Canva Magic Studio brings a practical, teacher‑friendly suite of AI tools that can help Saint Paul classrooms turn lesson ideas into polished visuals fast: Magic Design generates image, video, and presentation templates from a few prompts, Magic Write supplies on‑brand copy, Magic Animate adds one‑click transitions, and Beat Sync can layer music into multi‑scene videos - features that let a teacher create a shareable slide deck or short explainer video in seconds rather than hours.

For Minnesota educators juggling curriculum plans and family outreach, that speed translates into real time saved - local case notes show generative lesson‑planning tools can shave hours off curriculum development - while Brand Kit integration preserves school colors and logos so materials stay consistent across classrooms.

Treat AI outputs as first drafts to be reviewed and tailored, but when used with district guardrails, Canva Magic Studio is a ready way to produce multilingual handouts, parent newsletters, and classroom media that feel bespoke; see the AI Essentials for Work syllabus: teacher-friendly AI tools and the AI Essentials for Work registration and course details for practical next steps.

Quizlet's Q‑Chat blends Quizlet's vast study‑set library with OpenAI's ChatGPT API to give teachers and students fast, practice‑focused tools - “Quiz Me,” sentence practice with corrective feedback, and a Story mode that weaves vocabulary into short, contextualized paragraphs - making it especially handy for language classrooms needing quick formative checks; one classroom trial reported 94% of learners liked the AI‑generated stories.

Q‑Chat is freemium (limited free rounds, subscription options) and requires users to be at least 13, so Minnesota educators should roster thoughtfully and preview sets before assigning; the beta can be quirky or occasionally buggy, but its ability to produce immediate, targeted practice and explain errors in plain English makes it a practical option for in‑class warmups or independent practice.

Read a hands‑on review of Quizlet's Q‑Chat beta and Quizlet's overview of how they're using AI to personalise tutoring for more implementation details. Read a hands-on review of Quizlet's Q‑Chat beta and read Quizlet's overview of how they're using AI to personalize tutoring.

“It's an AI-enhanced tutor,” says Vish Ungapen, Quizlet's Senior Product Marketing Manager.

Johns Hopkins' Agent Laboratory is a three‑stage AI research pipeline - literature review, experimentation, and report generation - that offers Saint Paul and other Minnesota educators a way to accelerate evidence synthesis and create reproducible, source‑grounded briefs for curriculum decisions and pilot evaluations; the project page explains the framework and codebase for hands‑on exploration (Johns Hopkins Agent Laboratory project page), while industry coverage outlines how the system links to arXiv, Hugging Face, Python and LaTeX to produce both code and documentation (InfoQ article on AMD–Johns Hopkins AI Agent research).

In testing the framework showed striking cost and speed tradeoffs - an 84% reduction in research costs versus prior autonomous methods and clear model‑level differences in speed, cost, and report quality - so district research teams can weigh whether to prioritize faster, cheaper runs or deeper experimental rigor; independent writeups also recount how multi‑agent workflows automate literature scans and iterative experiment generation (The Decoder analysis of Agent Laboratory multi‑agent workflows).

For practical adoption in K–12 contexts, the system's modular design and required human oversight at each phase make it a promising tool for turning complex research into classroom‑ready insights without losing auditability.

“I just had o1 write a major cancer treatment project based on a very specific immunological approach. It created the full framework of the project in under a minute, with highly creative aims,”

Seesaw's elementary‑first AI toolbox can give Minnesota K–3 classrooms practical, low‑risk boosts: the Reading Fluency Assessment automates running records with auto‑graded student recordings and the Read‑With‑Me guided read‑aloud uses word‑by‑word highlights so a teacher can turn a quick check into a focused instructional moment, often reclaiming classroom minutes and - Seesaw estimates - saving educators 8+ hours per week on routine tasks; family engagement also improves with instant translations into 100+ languages.

Built‑in formative assessment tools scale from drag‑and‑drop questions for K–2 to multiple‑choice and reporting dashboards for upper elementary, letting teachers create tailored practice, use practice mode for immediate hints, and export clear progress reports without juggling multiple apps.

Because Seesaw keeps “an adult in the loop” and never exposes young learners directly to chatbots, districts that prioritize safety and family communication can pilot reading‑fluency and formative prompts with confidence; see Seesaw AI teacher tools for classroom instruction and the Seesaw Formative Assessment overview and implementation notes for classroom examples and implementation notes.

“We're using Seesaw's creative tools to assess decoding and reading skills. The activities in our district library are great assessment opportunities for our kids.” - Amanda Sharshel, Executive Director Elementary Curriculum & Instruction

Schoology's PowerBuddy brings tight, in‑workflow AI to course design and teacher productivity - teachers launch it with the distinctive purple PowerBuddy button or the tools icon in Schoology, choose a generator (lesson planner, assessment, vocabulary list, DOK prompts, or quick checks) and then copy or insert polished content directly into an assignment or page, saving real prep time while keeping educators in control; see the official Schoology PowerBuddy guide for step‑by‑step access and examples.

PowerBuddy also offers Research and Socratic chat modes, a District Information Assistant for secure, org‑specific FAQs, and teacher review tools (student chat logs load within 15 minutes and are available for 60 days), so districts can pilot with clear oversight - Microsoft's Maryvit case study even reports strong teacher time‑savings after deployment.

For Minnesota schools balancing equity, privacy, and workload reduction, PowerBuddy can fast‑track standards‑aligned starters and family messages, but use it as a drafting and triage aid rather than a replacement for educator judgment; more implementation details are available in PowerSchool's product notes and the generate‑content help page.

“Students love it because they can ask questions without fear of judgment... PowerBuddy is like having a dedicated tutor for each student.”

Saint Paul educators should move from curiosity to controlled action: start by aligning classroom practice with the district's Generative AI Best Practices, choose one approved tool (Google Gemini, NotebookLM, Seesaw, or Schoology PowerBuddy) and run a short, representative pilot that follows SPPS survey and pilot‑testing guidance so results are trustworthy and equitable; pair pilots with clear course policies (prohibit, conditional, or open) and use SPPS professional learning - like the Generative AI for Educators and Google Gemini & NotebookLM modules - to build staff confidence and guardrails, track outcomes (attendance, mastery, or reading‑fluency gains), and communicate transparently with families.

Small, monitored rollouts can reclaim teacher time (Seesaw notes 8+ hours saved on routine tasks) while protecting academic integrity with detection workflows - then scale what demonstrably improves learning.

For practical resources and next steps, review district guidance and sign up for hands‑on training. Saint Paul Public Schools Generative AI Best Practices and Guidance • SPPS Asynchronous Generative AI Courses and Professional Development • Nucamp AI Essentials for Work syllabus and course overview.

“AI is not a substitute for original thought; AI-generated content cannot be claimed as personal work or used to complete tests/assignments without teacher/administrator permission.”