Top 10 AI Prompts and Use Cases and in the Education Industry in Santa Rosa

Santa Rosa schools need a clear, practical plan for AI in 2025 because adoption is no longer hypothetical - K–12 teachers report real use in classrooms and growing optimism even as concerns about privacy and integrity rise.

A recent Cengage Group 2025 AI in Education report finds nearly two‑in‑three K–12 teachers (63%, +12% YoY) have incorporated GenAI and that educators want tools that personalize instruction and reduce administrative load; complementary research from Ithaka S+R and university analyses shows instructors need discipline‑specific guidance and clear policies before full rollout.

For districts considering professional development, hands‑on programs that teach prompt writing and workplace AI skills - like Nucamp's 15‑week Nucamp AI Essentials for Work 15-week syllabus - can help teachers move from consumer to confident, accountable users, turning AI's promise for personalized tutoring and faster feedback into measurable benefits for students without sacrificing academic standards.

Metric	Value (source)
K–12 GenAI adoption	63% of teachers report use (+12% YoY) - Cengage
K–12 teachers positive perception	55% report positive views of GenAI - Cengage
HED instructors who want AI literacy	92% say include AI literacy in courses - Cengage

“Educators and administrators remain optimistic about the potential of GenAI and are starting to realize the positive impact it can have on learning,” said Kimberly Russell, Vice President, UX, Market and Product Research at Cengage Group.

This methodology draws on district‑grade sources to build use cases, craft classroom prompts, and define concrete safeguards for California districts: primary inputs included Panorama's Solara product materials and platform tour (to map features like district‑managed, privacy‑first AI and real‑time usage dashboards), the Solara launch brief that details evidence‑based prompt libraries and MTSS integrations, and the Anthropic/Panorama case study describing secure deployments that keep student data out of model training; those sources guided selection of prompts for attendance plans, intervention templates, and parent communications while shaping safeguards such as FERPA/COPPA alignment, SOC 2 controls, and local data‑ownership rules.

Priority filters for Santa Rosa were simple and practical - use only district ingested resources, require admin visibility via usage dashboards, and pair any rollout with the AI Roadmap and PD that Panorama publishes so teachers spend minutes on insight review instead of hours on spreadsheet assembly.

The result is a playbook built from vendor documentation, launch announcements, and implementation case studies that ties prompts directly to MTSS workflows and California‑centered privacy expectations for safe, scalable classroom use (Panorama Solara product page – secure AI chat for K‑12 districts, Solara launch brief – product announcement and features, Anthropic & Panorama secure deployment case study).

Contract Item	Detail (source)
Contract Number	WLS334 - Washington Learning Source
Contract Expiration	2/7/2026 - Washington Learning Source
Compliance & Security	FERPA, COPPA, SOC 2 Type 2 - Panorama overview

“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.

Khanmigo brings a practical, classroom‑ready AI tutor to Santa Rosa classrooms by combining round‑the‑clock, personalized help with district controls that prioritize learning and safety: students get layered hints that nudge thinking instead of handed answers, families can opt into monitoring and alerts, and teachers can sign up for free to offload prep work and craft better lesson hooks.

District partnerships unlock admin dashboards, rostering support, and implementation services so local leaders can pilot 1:1 tutoring at scale - Khan Academy reports more than 400 districts using Khanmigo and data linking recommended usage to stronger outcomes.

For districts weighing pilots, Khanmigo's mix of teacher PD, classroom safeguards, and a learner option priced at $4/month makes it a low‑friction way to extend tutoring capacity while keeping instruction grounded in proven Khan Academy content and learning science; request a demo to see how it maps to local MTSS and intervention plans.

Read more on the Khanmigo information page or explore the Khan Academy districts program for implementation details.

Metric	Value (source)
District adoption	400+ districts use Khanmigo - Khan Academy districts program
Learner price	$4/month - Khanmigo learner pricing page
Engagement & outcomes	10x more likely to reach recommended dosage; ~20% higher-than-expected learning gains - Khan Academy districts program
Teacher access	Free teacher accounts and professional learning - Khanmigo teacher information

“By facilitating misconceptions where students are struggling with certain answers, Khanmigo will push and ask them guiding questions to get them to come to the conclusion on their own.” - Dave Zatorski, Vice Principal, Newark Public Schools

For California instructors rethinking assessment workflows, Turnitin Draft Coach is a practical way to shift feedback earlier in the writing process: available as an add‑on in Microsoft Word Online or (institution‑configured) Google Docs, Draft Coach arms students with similarity, citation, and grammar reports while they draft so revisions happen before a formal submission - think of catching a problematic match in draft three instead of during grading.

It intentionally keeps results private (Draft Coach does not add drafts to Turnitin's repository) and limits similarity scans to three per document so checks are used strategically, while citation and grammar guidance can be run repeatedly; campuses using Canvas or Microsoft 365 can follow local admin setup steps and student how‑tos to integrate it into course workflows.

For Santa Rosa districts considering policy and practice, Draft Coach offers a light‑touch way to teach proper citation, reduce surprise similarity flags, and give students actionable revision steps rather than a single high‑stakes report at the end - see the Turnitin Draft Coach FAQ and CSUEB/Canvas guidance for campus deployment details.

Feature	Detail (source)
Access	Microsoft Word Online or one configured Google Docs add‑on (admin enabled) - Turnitin Draft Coach FAQ and setup guide
Similarity checks	Up to 3 checks per document (private, not added to Turnitin repository) - How Turnitin Draft Coach can improve grades (Nexford guide)
Citation & Grammar	Unlimited citation checks; grammar guide available (first 100,000 characters) - SIUE guidance for using Turnitin Draft Coach citation and grammar tools
Classroom fit	Designed as a formative tool to improve drafts before instructor submission - Penn State announcement about integrating Turnitin Draft Coach in courses

ChatGPT and TutorAI can streamline curriculum work for California instructors by turning high‑level standards into sequenced, standards‑aligned syllabi, daily lesson plans, and item banks in a fraction of the usual prep time - useful for districts juggling multiple courses and quick state standards updates.

Prompted correctly, these tools can check alignment between course and unit objectives, generate varied assessment items tied to Bloom's levels, draft personalized feedback templates, and even produce alternative, AI‑aware syllabus language administrators can adapt; see practical strategies in UMBC's “7 ChatGPT Strategies” for course design and the ready‑to‑use syllabus prompt templates on the AI for Education prompt library.

Classroom fit requires clear policies: several sample syllabi recommend requiring attribution (for example, an appendix with the exact prompt and the AI's response) or defining contexts where AI is permitted versus prohibited so grading stays fair and equitable - especially important where access to tools varies across students.

When used with instructor review, ChatGPT/TutorAI becomes a time‑saving co‑designer that preserves pedagogical intent while freeing teachers to focus on high‑impact, human‑centered instruction.

"This course assumes that work submitted by students – all process work, drafts, brainstorming artifacts, final works – will be generated by the students themselves, working individually or in groups as directed by class assignment instructions."

For Santa Rosa classrooms looking to create quizzes, flashcards, and short e‑learning capsules on the fly, Quizlet offers a fast, teacher‑friendly workflow: teachers can “turn slides, videos, and notes into flashcard sets, practice tests, and study guides” in minutes and tap adaptive Learn modes that 98% of students say improve understanding, while the newer Q‑Chat AI tutor (built with OpenAI's ChatGPT API) layers a conversational, personalized practice engine on top of Quizlet's content library so students get automatic quizzes and targeted remediation; at launch Q‑Chat entered beta for U.S. users and connects directly to millions of public and teacher‑created sets, making it easy to pilot low‑cost, standards‑aligned review sessions for English learners or AP cohorts.

For California districts the San Francisco–based platform's mix of free tools, teacher subscriptions, and an AI tutor that leverages existing study sets means rapid content creation without rebuilding curriculum from scratch - perfect for afterschool review, intervention groups, or last‑minute formative checks.

“AI can enhance studying when used effectively; excited to collaborate with OpenAI.” - Lex Bayer, CEO of Quizlet

Skye from Third Space Learning offers California districts a practical, standards‑aligned route to one‑on‑one math support: a voice‑based AI tutor trained by former teachers that starts each session with a diagnostic question, adapts pitch and pace for grades 3–8 (with remediation options for older students), and follows teacher‑designed lesson plans so instruction maps cleanly to local standards and intervention blocks; districts can explore Skye's school offerings on the Third Space Learning site and read how the tutor was built by the company's teacher‑technologist team for classroom fidelity.

With more than 170,000 students taught, 4,100+ schools supported, and 2,100,000+ hours of math talk informing Skye's design, the platform claims learners who use one session a week can see roughly 2x math growth after 14 sessions, and the AI does not use student data to train its models - important for California privacy conversations.

For Santa Rosa leaders weighing cost, implementation is billed as a low fixed annual price (Skye's pricing materials list starts from £3,500/year) and includes teacher resources, diagnostics, and flexible scheduling for in‑school or at‑home practice.

Metric	Value (source)
Students taught	170,000+ - Third Space Learning US site
Schools supported	4,100+ - Third Space Learning US site
Hours of math talk	2,100,000+ - Third Space Learning US site
Impact claim	~2x math growth after 14 sessions - Third Space Learning US impact overview
Pricing	Starts from £3,500/year (fixed annual price) - EdTech Impact Third Space Learning pricing

"After the first of our academies used Third Space Learning, word got out that the online maths tuition was having a positive impact and we obviously wanted a piece of the action as well! The personalisation is second to none. Each school has done the data analysis and made the decision that this extra support is something they want to continue with." - Kate Davies, Maths Director, Outwood Grange Academies Trust

Generative content and media tools - think AI‑assisted copywriting in Canva or image generators for custom illustrations - offer a fast way to turn lesson plans into attention‑grabbing materials, but Santa Rosa districts should adopt them through the lens of California AI policy so procurement, privacy, and vendor selection are aligned with local rules (California AI policy impacts on Santa Rosa education); pairing any rollout with practical professional development that builds teacher AI literacy helps guard roles and ensures educators can evaluate outputs critically rather than merely outsource design (AI literacy training for Santa Rosa educators).

Finally, use the district's assessment redesign templates to define where AI‑generated visuals or text are instructional aids versus graded work, keeping evaluations meaningful and fair (Assessment redesign templates for AI in Santa Rosa schools); the result is more engaging content without compromising standards or student equity.

For California districts like Santa Rosa that need district‑level analytics, intervention planning, and airtight privacy, Panorama Solara offers a ready‑made, K–12‑focused option that stitches together SIS data, surveys, and MTSS workflows into plain‑language, student‑level insights; the Solara product tour highlights ready‑made, research‑backed prompts for everything from attendance nudge letters to IEP drafts, and administrators get usage dashboards for governance and compliance (Panorama Solara K–12 AI platform product tour).

Built on AWS with Claude in Bedrock, Solara was designed to surface patterns - like links between chronic absenteeism, behavior incidents, and assessment dips - and to draft district‑aligned response plans in minutes (educators have uploaded full 504 manuals to ensure answers follow local protocols), showing how a privacy‑first model can actually speed timely intervention (How Panorama Solara was built on AWS with Claude in Bedrock).

For districts balancing state privacy rules and the need to act fast, this approach turns scattered data into usable supports without training models on student records, freeing educators to focus on students instead of spreadsheets.

Metric	Detail (source)
Students supported by Solara	~380,000 students across 25 states - AWS
Privacy & compliance	FERPA, COPPA, SOC 2; data not used to train models - Panorama
District features	MTSS integration, district tool library, usage dashboards - Panorama

“Educators are using a wide range of AI tools today, and it is starting to feel like the Wild West.” - Aaron Feuer, CEO and Co‑Founder of Panorama Education

Microsoft Defender's Attack Simulation Training gives Santa Rosa IT teams a practical, policy‑friendly way to turn phishing anxiety into measurable improvement: admins with Microsoft 365 E5 or Defender for Office 365 Plan 2 licenses can launch realistic, benign campaigns from the Defender portal (Email & collaboration > Attack simulation training > Simulations) to test common social‑engineering techniques - Credential Harvest, Malware Attachment, OAuth Consent Grant, QR‑code lures and more - and automatically assign targeted remediation when users click or report a payload.

The wizard walks through naming the campaign, choosing built‑in or tenant payloads and landing pages, scheduling delivery, and assigning training modules so follow‑up is automatic; reports surface per‑user actions and a predicted vs.

actual compromise rate so district leaders can target professional development instead of guessing where gaps exist. For a hands‑on start, follow Microsoft's Simulate a phishing attack documentation and the Microsoft Attack simulation training Get started guide to confirm roles, licensing, and region availability before piloting a district campaign that turns one simulated “mailbox full” click into a teachable moment for the whole staff.

Item	Detail (source)
Required license	Microsoft 365 E5 or Defender for Office 365 Plan 2 - Microsoft Attack simulation training Get started guide
Portal location	Email & collaboration > Attack simulation training > Simulations - Microsoft Simulate a phishing attack documentation
Example techniques	Credential Harvest, Malware Attachment, OAuth Consent Grant, QR codes - Microsoft Simulate a phishing attack documentation
Key reporting	Per‑user actions, predicted compromise rate vs. actual compromise rate - Microsoft Attack simulation training Get started guide / Microsoft Simulate a phishing attack documentation

Speechify is a practical entry point for California classrooms that need better language learning tools and stronger accessibility supports: its AI‑driven text‑to‑speech turns PDFs, Google Docs, slides and even photographed textbook pages into natural‑sounding audio so students with dyslexia, ADHD, or limited English proficiency can follow along and practice pronunciation with synced highlighting; districts can trial its school offering or request a demo to explore bulk plans and classroom deployments (Speechify for Education - request a free demo).

With studio‑quality voices in dozens of languages, OCR that reads printed pages, an API for integrations, and features like AI summaries and quick quizzes, Speechify helps make long readings manageable - think of turning a dense chapter into an on‑the‑go study session students can replay at 1.5x speed - and supports cross‑platform use via mobile apps and browser extensions (Speechify free text‑to‑speech online).

For Santa Rosa educators planning pilots, Speechify's mix of accessibility features and school licensing options makes it worth testing alongside district PD and assessment redesign templates.

Metric	Detail (source)
Users	50M+ users - Speechify homepage
Languages & voices	60+ languages, 1,000+ voices / 200+ lifelike voices for education - Speechify product pages
Platforms	iOS, Android, Web, Chrome & Edge extensions; offline audio downloads (premium) - Speechify docs

“Speechify is absolutely brilliant. Growing up with dyslexia this would have made a big difference.”

Arbor MIS can cut routine admin from Santa Rosa offices by turning attendance, parent messages, and basic reporting into near‑real‑time workflows: teachers take registers (even from visual seating plans), attendance officers pull trend dashboards, download an emergency evacuation register as a PDF with one click, and fire off mail‑merge follow‑ups to guardians for unexplained absences - making it easy to spot patterns like sibling correlations or persistent lateness and move students into interventions quickly (Arbor Attendance Guide: Introduction for New Attendance Officers).

Training matters: schools that invest in staff onboarding see big efficiency gains, with published guides estimating time savings and better data quality when teams learn the system properly.

That said, secondary leaders should plan timetabling and course enrolment work carefully - Arbor is strong on attendance analytics and communications but some schools report a steeper lift when migrating complex timetables and integrations, so factor in vendor integrations and dedicated data leads when budgeting a rollout (SIMS to Arbor Migration Discussion and User Reports).

The result for districts that pair Arbor with focused training is fewer hours spent on busywork and faster, evidence‑driven follow‑up for students who need it most.

Capability	Detail (source)
Attendance workflows	Daily registers, incomplete‑register reminders, roll call marks, printable evacuation registers - Arbor support guide
Analytics & alerts	Live dashboards, thresholds/alerts, correlations (siblings, broken weeks) - WhichMIS / Arbor docs
Training impact	Better data quality and time savings when staff trained (guides recommend formal onboarding)
Timetabling note	Secondary timetabling and course enrolment can require extra integration and planning - user reports

“Arbor is super quick compared to SIMS.” - forum post reporting on Arbor experience

Santa Rosa's next step is pragmatic: lock policy, pilot with clear metrics, and fund focused professional development so teachers and families aren't learning privacy rules mid‑crisis.

Start by aligning local practice with federal and state law - use the district's own Santa Rosa College FERPA guidance for students and the practical checklists from compliance guides that map data flows, vendor audits, and consent updates (SchoolAI FERPA and COPPA compliance checklist for schools) - and treat vendor contracts like security plans (no secondary use, defined retention, breach notification).

Run short, measurable pilots that pair a small roster of classes with an IT‑vetted tool, require role‑based access and MFA, and track simple indicators (training completion, vendor assessment scores, anomalous access logs) so decisions are driven by evidence not anecdotes; one mis‑configured vendor clause or an unchecked prompt can expose months of student interactions, so make the data lifecycle visible from collection to deletion.

Finally, bake PD into the rollout: district leaders can adopt hands‑on courses that teach prompt craft and workplace AI skills (for example, Nucamp AI Essentials for Work 15-week syllabus) so teachers move from cautious adopters to confident, compliance‑minded users who use AI to improve instruction without compromising student privacy.

Pilot Metric	Why it matters (source)
Staff training completion	Ensures consistent data handling and prompt craft (SchoolAI)
Vendor assessment scores	Flags risky vendors, verifies FERPA/COPPA practices (SchoolAI / public guidance)
Data‑access requests fulfilled	Measures transparency and compliance with FERPA rights (School FERPA guidance)
False‑positive alert rate / anomalous access	Shows monitoring quality and need for technical safeguards (SchoolAI)