Top 10 AI Prompts and Use Cases and in the Education Industry in San Bernardino

San Bernardino County is moving quickly from conversation to classroom as educators, district leaders and regional partners build practical entry points for AI that protect students and amplify teaching: the San Bernardino County Superintendent of Schools offers a “Building Capacity for Generative AI in K‑12” readiness roadmap for leadership teams (SBCSS Building Capacity for Generative AI in K‑12 roadmap), local classrooms are already welcoming new tools this school year - with teachers and fourth graders adjusting to AI alongside 33‑student classes (KABC News report: classroom uses of AI in San Bernardino) - and the state is backing campus and district partnerships with Google, Microsoft, Adobe and IBM to expand AI training across California (California Governor's AI partnerships with major tech companies).

For educators and counselors in the Inland Empire, this means scaffolded PD, district roadmaps and hands‑on pathways - plus career-focused training options like Nucamp's 15‑week AI Essentials for Work bootcamp to turn prompts and tools into classroom-ready skills.

Program	Length	Focus	Cost (early bird)
AI Essentials for Work	15 Weeks	AI at Work; Writing AI Prompts; Job‑based practical AI skills	$3,582
Registration	Register for Nucamp AI Essentials for Work bootcamp

"AI is the future - and we must stay ahead of the game by ensuring our students and workforce are prepared to lead the way. We are preparing tomorrow's innovators, today."

Selection prioritized prompts and use cases that directly map to local readiness frameworks and classroom realities: priority went to items that support SBCSS's “Building Capacity for Generative AI in K‑12” approach (assessing readiness, identifying high‑impact opportunities and building a 6‑ or 12‑month roadmap) and to prompts that reinforce the three Modes of Engagement - Understand, Evaluate, Use - outlined in the county's AI Literacy Framework; federal guidance and practical IT checklists from the U.S. Department of Education and SBCSS informed risk‑mitigation factors and policy alignment (see the U.S. DOE report linked for implementation insights).

Emphasis was placed on prompts that are immediately actionable for cross‑functional district teams (SBCSS recommends teams of at least three), that support educators with classroom tools like Copilot/ChatGPT one‑pagers, and that connect to counselor and family‑engagement resources - so each use case can move from pilot to a measurable step on the Cradle‑to‑Career roadmap without losing sight of student safety or instructional impact.

For background and resource curation, consult the SBCSS AI Resource Hub linked in the county guide.

“Emerging technologies often lead to new and exciting learning opportunities for students, particularly in increasing personalization and accessibility options. While Artificial Intelligence (AI) can be a valuable learning tool for educators and students, it must be evaluated according to usage terms, and clear guidelines for data collection should prioritize student safety” - California Department of Education, 2023

The SBCSS “Building Capacity for Generative AI in K‑12 Education” prompt asks district leadership teams - ideally teams of at least three - to run a focused readiness sprint: assess readiness across leadership, operations, tech and academics; surface a small set of high‑impact pilot opportunities; and translate findings into a 6‑ or 12‑month actionable roadmap that aligns with the county's Cradle‑to‑Career priorities and family‑engagement strategies.

Use the SBCSS resource hub to pull practical artifacts (one‑pagers for Copilot/ChatGPT, sample policies and counselor toolkits) and map each pilot back to milestones in the Cradle‑to‑Career AI guidance, while leveraging the K‑12 Gen AI Readiness Checklist from CoSN to ensure legal, data and technical controls are baked into procurement and monitoring.

The prompt is concrete: run a three‑person workshop, produce a prioritized roadmap, and attach risk‑mitigation steps - so district leaders leave with both a plan and a clear next meeting date.

Step	Action
Assess Readiness	Leadership, operations, tech, academics
Identify Pilots	Choose 1–3 high‑impact use cases aligned to Cradle‑to‑Career
Roadmap	Build 6‑ or 12‑month actionable plan with risk controls

"To prepare students for the careers of today - and tomorrow - educators must explore and integrate artificial intelligence (AI) into K-12 classrooms."

Districts drafting AI-use policy can treat CoSN's resources as a practical prompt: assemble an inclusive committee, run the K‑12 Gen AI Readiness Checklist to map legal, technical and academic gaps, and pair that assessment with CoSN's broader AI guidance and TeachAI toolkit to draft living, classroom‑ready guardrails that start small and scale responsibly.

Practical steps drawn from CoSN guidance and policy primers include testing tools with staff (not students) to limit data exposure, vetting vendor contracts for student‑data use and accessibility compliance, aligning language with FERPA/COPPA/SOPPA expectations, and building a communication plan that takes proposed rules to the board and to families.

Frame the policy as a usable roadmap - a one‑page checklist teachers can consult when a new app appears on classroom devices - and commit to periodic review so rules don't ossify as technology changes.

For templates, webinars and the readiness rubric, see CoSN's AI hub and the district checklist, and consult CoSN's recommendations on privacy and accessibility as you translate readiness into policy and pilots.

“Where I'm skeptical is in professional development and current curriculum mandates being able to adapt and turn around fast enough to take advantage of the promise of AI in education.”

Common Sense Media's grab‑and‑go AI lessons give California middle and high school teachers a practical way to introduce core concepts and ethical questions without reorganizing the year: the AI Literacy collection features quick activities (20 minutes or less) that define AI and generative models, surface risks like bias and misinformation, and prompt students to weigh real‑world tradeoffs - for example, short modules such as “Hallucination Detective” or “AI Chatbots & Friendship” turn abstract issues into hands‑on class work that students can finish in a single session.

District teams and counselors can pull individual lessons from the Common Sense “AI Literacy Lessons for Grades 6–12” collection or use the focused “What Is AI?” primer to help learners distinguish generative tools from other software, while broader curriculum lists (see the AILiteracyDay resources) supply deeper follow‑ups for ethics, media literacy, and bilingual classrooms; the result is a low‑lift, high‑impact way to make AI conversations routine across classes and school families.

Common Sense AI Literacy Lessons for Grades 6–12 - quick classroom AI activities · Common Sense “What Is AI?” lesson - primer for students

Yu Chen's AI for Social Good project gives California classrooms and campus partners a clear, community-first prompt: assemble interdisciplinary teams, choose a local problem tied to a UN Sustainable Development Goal, and design lightweight AI solutions that emphasize fairness, usability and real-world impact - an approach already piloted from 4th‑grade “App Design for Social Good” challenges in Mendocino to CSU student showcases.

Backed by NSF funding and implemented across San José State, CSU San Bernardino and Cal Poly Pomona, the curriculum blends hands‑on prototyping, gamified social‑entrepreneurship (students design logos, pitch ideas and even direct prize funds to local nonprofits), and built‑in ethics exercises - debates, risk analyses and reflections on data bias and community representation - so projects move beyond demos into measurable civic outcomes.

Learn more from the SJSU Deep Dive with Yu Chen and the AI for Social Good project site for curriculum and symposium details.

Metric	2025 Snapshot
Undergraduate participants	2500+
Student projects generated	500+
Classes involved	50+
Participating universities	3 (SJSU, CSU SB, Cal Poly Pomona)

Advances in AI have the potential to influence our economy and society and improve our overall quality of life.

CSU San Bernardino and Cal Poly Pomona are turning classroom labs into community impact engines by collaborating on the CSU-wide AI for Social Good initiative and campus-wide tech strategies that blend hands-on learning with civic problems: funded by the NSF, AI4SG brings multi‑disciplinary undergraduates together to prototype solutions - from CSUSB students' FireEye drone sensors for wildfire risk monitoring to CPP teams using IBM Environmental Intelligence to map threatened California Gnatcatcher habitat - and culminates each spring at a student innovation symposium that showcases real projects tied to local needs (CSU AI for Social Good student innovation symposium).

Cal Poly Pomona's campus playbook goes further, embedding AI across academics, student affairs and operations via an Advanced Computing Department, AI fairs and industry partnerships so students learn “by doing” and campuses see tangible operational wins - illustrated by CPP's human‑centered pilots that pair chat assistants with staff workflows to improve student outreach and service delivery (Cal Poly Pomona AI strategy and campus playbook; Cal Poly Pomona human-centered AI case study: Billy Chat improves student success).

The collaboration matters because it moves AI from abstract ethics lessons into commuter‑to‑campus projects that protect forests, map habitats and streamline services - so students leave with portfolio work and communities gain practical tools.

Metric	2025 Snapshot
Undergraduate participants (AI4SG)	3,000+
Student projects generated (AI4SG)	600+
Courses involved (AI4SG)	60+
CPP pilot impact (Billy Chat)	300 students resolved holds in 24 hrs; holds reduced from >8,000 to <2,500 (semester sample)

“I'm excited to share how Cal Poly Pomona is integrating IT with academics, research, students, operations, and industry.”

Counselor workflows can gain real traction with an "AI for School Counselors" triage prompt that turns repetitive, time‑sucking tasks into manageable, supervised steps: use AI to draft and prefill recommendation letters, run an email‑triage assistant that learns your voice and drafts replies, or generate translated family outreach - then review and personalize before sending.

Practical examples from Education Week show counselors cutting hours from tasks like recommendation letters and using an email‑triage tool trained on past messages that can operate at roughly a 90% accuracy rate (Education Week: counselor use of AI for college advising).

Best practices matter: pair any triage prompt with clear informed‑consent language, documented human review checkpoints, and rules that prohibit dumping student identifiers into public models to protect FERPA/HIPAA expectations (see NBCC's ethical guidance on counselor competence and confidentiality).

For easily adoptable tools and prompt ideas - real‑time translation, summarizers, and prompt templates that scaffold counselor decisions - consult school‑counselor guidance on communicating and connecting with families and students (ASCA: practical AI uses for communicating and connecting with families).

The payoff is vivid: more face‑to‑face time with students and fewer nights rewriting the same letter - so AI amplifies caring, not replaces it.

“Most of the platforms out there are not meant for health care practice; they aren't HIPAA compliant. You can't just plug client information into ChatGPT, because you're essentially feeding client data into the public domain.”

Turn the SBCSS sample parent letter into a pragmatic Family Engagement Toolkit prompt by making that one‑page handout the hub of every outreach touchpoint: adapt the SBCSS template linked in the county's AI resource hub as the official notice to families, offer it in English and Spanish as SBCSS requires, and distribute it at intake meetings, IEPs, Back‑to‑School Night and by mail so no parent misses the message (SBCSS Parent Involvement Policy: Distribution and Language Requirements; SBCSS AI Resources for Educational Partners: Sample Letter to Parents and Guardians).

Pair the packet with a short family workshop or drop‑in table at the Family Engagement Network so parents can ask questions, complete a needs‑assessment, and tell schools what supports (translation, childcare, timing) work best for them (Family Engagement Network PROMISE Resources and Family Support Services).

Keep it measurable: reserve Title I parent‑involvement funds for translation and outreach, collect the annual parent survey SBCSS recommends, and use those findings to iterate the letter and event cadence - imagine a tidy, two‑sided letter tucked into every Back‑to‑School packet that directs families to clear contacts and upcoming workshops, turning information into participation.

Toolkit element	Source / Next step
Sample parent letter (English/Spanish)	SBCSS AI Resource Hub / Parent Involvement policy
Family workshops & training	Family Engagement Network (scheduled events)
Needs assessment & annual survey	SBCSS Title I parent involvement requirements

Design a short, hands‑on educator PD titled "Responsible Use of Generative AI" that pairs a practical micro‑workshop on prompt writing and output evaluation with clear guidance on privacy, classroom safeguards and follow‑up practice: use Google's two‑hour Google Generative AI for Educators course as the central training module to show how generative tools can save time on everyday tasks, personalize instruction and generate classroom resources, then layer in district‑level guardrails from the Google AI Training Hub for Responsible AI in Education so teachers know when human review and data protections are required.

Plan a 90‑minute follow‑up lab where teachers iterate prompts, build one classroom artifact (a practice set, rubric or differentiated lesson), and map a simple consent/notification step for families - small, measurable changes that free up time for one extra face‑to‑face intervention while keeping student privacy front and center.

Offer badges or a short certificate path (Google's micro‑courses and badges are available) so staff can track growth and align PD to site‑level goals in San Bernardino's readiness roadmap.

PD Option	Duration	Level
Generative AI for Educators (Google)	2 hours	Beginner
Get Started with Google AI in K‑12	2 hours	Beginner
Introduction to Generative AI (microlearning)	45 minutes	Introductory

"I came into this course knowing very little about AI technology and this course provided me with a really solid foundation. I am looking forward to utilizing AI tools to help me with upcoming projects for work, as well as in my personal life."

Classroom Activity Prompt - Identity Collage with Adobe Express: invite students to build a personal “identity collage” from Adobe Express remixable templates, then use guided AI image prompts to surface and discuss visual and cultural bias; start with the Adobe Express Creative Identity Graphic template as a scaffold (Adobe Express Creative Identity Graphic template and guide), ask learners to generate images of themselves or community roles with different prompts and models, and pair each collage with a short reflection that flags stereotypes (for example, AI image generators often render professors as white, male figures or create gendered, sexualized nurse images).

Use the Center for Teaching Excellence's bias discussion materials to structure class activities - compare outputs across chatbots, test persona prompts, and practice rewriting prompts to reduce dataset and cultural bias (Center for Teaching Excellence guide on addressing bias in AI).

Tie the work back to local practice by mapping one classroom artifact to district guidance on AI workflows and integrity so the exercise becomes both an arts‑forward intro to AI and a concrete step toward responsible use in California schools (classroom workflows to protect academic integrity in San Bernardino schools).

Make an evaluation rubric that turns student-built AI prototypes into classroom-grade, reviewable artifacts by blending practical prototype‑testing metrics with the Microsoft BXT prioritization lens: start each rubric with clear test objectives (what question is this prototype answering?) and measurable success criteria - time efficiency, quality of insights produced, and depth of participant responses - drawn from a step‑by‑step testing approach (Insight7 prototype testing guide); then score the project for Business, Experience and Technology so teams in San Bernardino can weigh community impact and feasibility before scaling (Microsoft BXT framework documentation).

Add practical Canvas‑style success checks (can the rubric be exported or linked to an assignment; does the output map to grading criteria) so educators can validate AI rubrics against real LMS workflows (Canvas rubric study on AI participation and quality).

The result: a compact, three‑part scorecard teachers and campus partners can use to move promising prototypes from demo day to pilot‑ready with clear evidence and shared language - so students learn engineering tradeoffs and districts keep safety, fairness and usefulness at the center.

Rubric Dimension	Example Metrics / Checks (sourced)
Prototype Testing	Clear objective, time efficiency, insight quality, participant response depth (Insight7)
Business / Experience / Technology (BXT)	Strategic fit, user desirability, technical feasibility and safeguards (Microsoft BXT)
LMS / Practical Success	Assignment linkage, rubric export/API compatibility, reviewer usability (Canvas POC criteria)

San Bernardino's next steps are clear and practical: convene cross‑functional teams to run a short readiness sprint using the SBCSS AI Resource Hub as your playbook, pilot classroom and counselor prompts in the Playlab.AI sandbox so teachers and students can learn by doing, and invest in targeted staff upskilling - for example, a 15‑week pathway like Nucamp's AI Essentials for Work turns prompt skills into everyday workplace practices (early bird $3,582).

Prioritize family communication and equity at every stage (offer the SBCSS one‑page parent letter in English and Spanish), bake privacy and bias checks into procurement, and collect simple measures so pilots map to a 6‑ or 12‑month roadmap; hundreds of local leaders (300+ trained in past readiness efforts) have already started this cycle, proving a small, well‑scoped plan scales.

Use the linked hubs below to move from policy to pilot quickly: start with readiness, prototype in classroom‑safe sandboxes, and close the loop with workforce and family engagement so AI amplifies instruction instead of complicating it.

Action	Resource / Link
Assess readiness & build roadmap	SBCSS AI Resource Hub - Building capacity for generative AI in K‑12
Prototype classroom apps & prompts	Playlab.AI educator sandbox for K‑12 prompt prototyping
Staff upskilling	Nucamp AI Essentials for Work bootcamp - 15 weeks, early bird $3,582 (practical AI skills for the workplace)