K–12 Parent Resource Center · Prompt-Ed

We can't childproof
the digital world.

But we can rebuild what screens break down — and empower kids to use those same tools to amplify their own, unique brilliance.

No one has a complete playbook for this yet — not schools, not families, not the companies building it. This page is a starting point. The rest, we write together.

Your Turn — the 4 levers → Download parent flyer Descargar folleto (Español)
Start Here · See the Landscape

The real risk isn't AI alone.
It's what happens — across every screen, every feed, every tool — when thinking becomes optional.

Long before AI, a decade of screens, short-form video, algorithmic feeds, and persuasive design was already recalibrating kids' attention, patience, and problem-solving. AI is the newest layer — the most powerful one yet — but it lands on a brain that's already been reshaped by everything that came before.

The good news: every layer can be used well or used badly. Sustained reading, conversation, sleep, time outside — these aren't "old-fashioned." They're the counterweights that rebuild what screens, algorithms, and AI quietly erode. Nobody has a complete playbook yet. But we can start with what we know — and build the rest together.

The data behind the conversation
8.5hrs
average daily screen time for teens, beyond school
Common Sense Media, 2021
185
phone pickups per day — once every 5 minutes we're awake
Reviews.org, 2026
47sec
average attention span — down from 2.5 minutes in 2004
Gloria Mark, UC Irvine
84%
of high schoolers used AI for schoolwork in 2025 — the newest layer of the landscape
College Board, 2025
The Screen RealityProjection for teens
33%of a lifetime
→
50%of waking hours
→
93%of free time
Protect the Pause
It takes 23 minutes and 15 seconds to return to the original task after a digital interruption. The typical user feels cortisol-driven anxiety to check their phone within 15 minutes of pausing. 49% of digital interruptions are self-initiated — no notification, we just check. 81% check their phone within 10 minutes of waking; 87% sleep with it in the bedroom. The reset clock restarts before it ever finishes counting — deep thinking becomes structurally impossible. — Gloria Mark (UC Irvine), Larry Rosen, Linda Stone
The 47-second attention span isn't a failure of willpower. It's a success metric for the people who built the scroll.
Try this tonight
"What brilliant ideas could come out of your brain — if you only gave yourself the time to imagine them?"

A question worth asking teenagers. Try it in a quiet moment — a car ride, a walk, dinner — and give them room to answer in their own time.

— Rebecca Guglielmo, Prompt-Ed
Your Turn

4 levers. We have to touch all four to move the needle.

Not a checklist — a framework. These four pull against each other if you skip one: you can't build counterweights at home while the school experience goes unaddressed, and you can't set smart guardrails while modeling the opposite yourself. Start wherever feels most honest today.

01
MODEL
Define your portrait of media balance. Be the relationship with tech you want them to grow into.
Open → 02
BUILD
Add counterweights at home — the practices that rebuild the muscles screens quietly erode.
Open → 03
GUARDRAILS
What structure are you putting in place — and what safety conversations are you having now?
Open → 04
GET CURIOUS
Your kid. The school. AI itself. Be an active participant in the system shaping them.
Open →
Parent Resource Library

Your Turn — four levers, one at a time

Tap any section to expand. Start anywhere — they're designed to be read in any order. The four "Your Turn" levers lead; the rest of the library follows.

01
MODEL · Define your own portrait of media balance
Schools write a "portrait of a graduate." Parents rarely write a portrait of media balance. The research says your behavior is the strongest signal your kids receive.
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Schools spend years writing a "portrait of a graduate" — a clear vision of who they want students to become. Parents rarely do the same for media balance. But the research is consistent: the strongest predictor of how a child relates to screens isn't a rule you set — it's what you do.

There is no template. Your relationship with media will look different from your neighbor's, your sister's, your child's at 8 vs. 14. That's the point — this is an exercise of defining, not copying. Picture the version of you who has the relationship with technology you want your child to grow into. Not perfect. Just intentional.

Picture this person clearly. Where do they live with their phone?
  • In their pocket all day, or set down on a tech table at the door?
  • Out at dinner and meals, or put away while people are eating?
  • "Double-dipping" — watching a show while scrolling — or fully in one place?
  • The last thing they touch before bed and the first thing they reach for on waking?
  • What parts of the day are they protecting — and from what?
Once you can see this person clearly, the next move is small: pick one shift you can actually make this week. Then another. When we model the balance we want our children to have, we protect their developing brains. And — quietly — our own.

Our digital habits are their digital inheritance. Across 21 studies and 14,900 children under age 5 in 10 countries, parent device use predicted poorer cognition, weaker attachment, and more screen time in the kids themselves. — Toledo-Vargas et al., JAMA Pediatrics, 2025. Reinforced by Lauricella et al. (Journal of Applied Developmental Psychology); Common Sense Media (2024); AAP Family Media Plan.

02
BUILD · Counterweights at home
If we can't remove the influence, we strengthen the brain's counterweights. Eleven evidence-based practices that rebuild what screens quietly erode.
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Small shifts. Consistent rhythm. These compound. What we add back at home directly rebuilds the cognitive muscles that screens — and unguided AI — quietly atrophy.

Read Beyond the Scroll
Sustained reading strengthens neural circuits for comprehension, empathy, and focus — all weakened by short-form scrolling. Books, long articles, reading aloud together.
Read long. Discuss deeply. Protect sustained attention.
Maryanne Wolf, UCLA; OECD Education & Skills Outlook 2023
Write It, Don't Type It
Handwriting activates neural pathways tied to memory, reasoning, and self-regulation that typing bypasses. Journals, sketches, letters, comics — all count.
The slower pace strengthens reflection and retention.
Mueller & Oppenheimer, Princeton/UCLA (2014); Van der Weel & Van der Meer (2024)
Get Outside
Unstructured play and time in nature build planning, creativity, and emotional regulation. Even 20 minutes daily restores attention.
Play strengthens the executive-function skills screens quietly replace.
Berman, Jonides & Kaplan (2008); Whitebread et al., Cambridge; Peter Gray, Boston College
Phone-Free Sleep
Protect 30 minutes after waking and 1 hour before bed. Charge phones outside the bedroom — sleep, memory consolidation, and morning mood depend on it.
A rested brain learns. A tired brain reacts.
Walker, Why We Sleep (2017); AAP Family Media Plan
Talk It Through
Family debates at dinner, analyzing headlines, or diving into a shared text cultivates skepticism, curiosity, and perspective-taking. Trains kids to think critically instead of consuming passively.
Talk through ideas, not just about them.
Play the Long Game
Games that reward planning and patience — Chess, Catan, Sudoku, D&D, Monopoly — balance the "instant feedback" habits screens build in.
Learn to wait, think ahead, and adjust.
Family Meals, Phones Away
Family dinners without phones build attachment, language, and emotional regulation. Kids with regular family meals show stronger vocabulary and lower anxiety rates.
Eat together. Talk together.
Fiese et al., Family Mealtime Research Program, University of Illinois
Practice Boredom
Waiting without screens — a quiet car ride, creative moments, time at a restaurant or grocery checkout line. Periods without input let daydreaming and self-directed thought take over.
Boredom trains the brain to generate, not just consume.
Eastwood et al.; Mann & Cadman (2014, Creativity Research Journal)
Earn the Answer
"Desirable difficulties" research shows effortful learning enhances long-term retention. Encourage tasks that feel slightly hard — complex puzzles, mental math, crosswords.
If it feels hard, the brain is growing.
Robert Bjork, UCLA; Gloria Mark, UC Irvine
Model Tech Balance
Adults check their phones 185 times a day on average. Kids absorb this long before any lesson about media balance. The data shows the loop: persuasive design hooks the parent, the parent models it in front of the child, and the child inherits both the behavior and the vulnerability — at every age from infancy through adolescence.
Share your own struggles. Let them see you choose.
Reviews.org 2026; AAP Family Media Plan; Toledo-Vargas, JAMA Pediatrics 2025; Radesky, Pediatric Research 2024 (ABCD Study); Zhang, JMIR 2025 (technoference meta)
Park It — Not Pocket · Bonus
Five starter moves to operationalize the Model Tech Balance card — small shifts you can make this week.
  1. 1.Add visible daily screen-free breaks.
  2. 2.Put the phone down while driving — the entire trip.
  3. 3.Charge devices outside bedrooms in a family tech zone.
  4. 4.Share your own struggles. Let them see you choose.
  5. 5.Grayscale your phone.
Adapted from Rebecca Guglielmo's parent talks.
Beyond Screens · Bonus
Activities that build the same cognitive and creative muscles screens compete with:
Makers & Builders Debate Mock Trials Chess Robotics Dance Sewing Cooking Instruments Gardening Sports Art Volunteering Woodworking
© 2025 Rebecca Guglielmo. Permission granted for educational use with attribution.
03
GUARDRAILS · Structure + safety conversations for today
There's no fixed rulebook — but the structure you put in place AND the conversations you have BEFORE something happens matter more than ever in 2026.
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Two things keep our kids safer in a multi-device, AI-saturated world: structure that evolves with their age, and conversations we have before something goes wrong — so they know exactly who to come to.

Look at the structure already in place at home. Where does it stand right now?
  • Where do devices live overnight — bedroom, or somewhere else?
  • What devices and apps does each child have, and what age did they get them?
  • What's allowed at meals, in the car, before bed, and on waking?
  • What's the rule that's never broken? What's the rule that quietly slipped?
  • Is there a written family media plan, or are the rules carried in your head?
The AAP 2026 framework

The 5 C's — stop regulating the clock. Start shaping the use.

In 2026 the American Academy of Pediatrics moved past time caps for good. The new framework isn't about how much screen time kids get — it's about how they use it.

C01
CHILD
Know your child's temperament. What helps one kid thrive online may fuel anxiety in another. Set the rules that match the kid in front of you.
C02
CONTENT
An hour of creating, learning, or connecting is fundamentally different from an hour of passive scrolling. Quality over the clock.
C03
CALM
If the screen is the only thing that soothes your child, that's a signal. Kids need emotional regulation skills that don't require a device.
C04
CROWDING OUT
Don't ask "how much screen time should I cut?" Ask "what do we want back?" — Sleep, family meals, outdoor play, face-to-face conversation.
C05
COMMUNICATION
Talk about media the way you'd teach them to drive — early, often, and without shame. Kids who feel safe talking to you actually will.

"Stop regulating the clock. Start shaping the use." — AAP, 2026

Read the AAP framework + build your Family Media Plan →
The U-curve evidence backs this approach. A 2026 study of 100,991 teens found that both abstinence and heavy use can harm well-being — and the pattern flips with age and sex. The healthiest kids were intentional, moderate users. → See the full U-Curve breakdown
The structure that evolves with your child

The structure that works at 5 won't work at 15.

There is no fixed rulebook. Your guardrails should evolve with the developmental stage your child is in. Common shifts across the K–12 years — adapt them to your family.

Ages 0–5
Protect the foundation
Brain development is the work; screens compete with it. Co-watch when there is screen time. Prioritize outside time, talking, reading, and free play. AAP recommends no screens before 18 months and very limited, co-engaged screen time for ages 2–5.
Ages 6–10
Build the family vocabulary
Family devices, not personal ones. Tech-free zones: bedrooms, dinner table, car. Start the conversations early — what's real, what's edited, what's an algorithm. Build a Family Media Plan together so the rules feel jointly owned, not imposed.
Ages 11–13
The transition years (the smartphone question)
The biggest single decision: when does your child get a personal phone, and what kind? You're not the only family asking — movements like Wait Until 8th exist so families can wait together. If/when a phone arrives: no social media yet, screen-time settings on, phone out of the bedroom overnight, charged on a "tech table" by the front door.
Ages 14–18
Coach independence
Your job shifts from setting rules to building judgment. Conversations matter more than locks at this age. Continue: phone out of the bedroom overnight, intentional breaks from social media, modeling the behavior. Talk about cortisol, dopamine, attention recovery — let them see why the limits exist, not just that they exist.
What's actually new in 2026

Four safety conversations that didn't exist five years ago.

AI Companions
72% of teens have used them.
1 in 3 describe concerning interactions. Nearly 1 in 5 high schoolers say they or someone they know has had a romantic relationship with AI. — CDT 2025; CSM 2024
Common Sense AI ratings → APA on AI & teens →
AI Deepfakes & Sextortion
Risky images don't need to be sent. They can be created without consent.
AI deepfakes carry the same emotional weight as real images. Sextortion is one of the fastest-growing crimes against kids in the US — predators target boys for money and girls for more imagery. Escalation is fast (often within hours of contact). The image — real or AI — is the threat.
TakeItDown.NCMEC.org · remove imagery → NCMEC · Stop Sextortion → Thorn · Sextortion resources →
Online Extortion & Blackmail
The script is the same every time.
Predators contact kids on gaming platforms or social media, build a fast (often flirtatious) connection, manipulate them into sharing — then demand money, more imagery, or harmful actions. Compliance never stops the escalation. The way out is reporting + a trusted adult, not paying.
FBI · Parent guide → ICAC Task Force → Report to CyberTipline →
Hierarchy of Tech
You can't out-restrict a multi-device generation.
Take away the phone, the iPad appears. Block Wi-Fi, offline games. Limit Snapchat, the conversation moves to YouTube Shorts.
"Adults: 'Phew, we blocked that site.' Teens: 'Adorable. Here are 17 workarounds we found on TikTok.'"
The conversations to have NOW

Five things to put in place — before something happens.

  • Open-door policy. Make sure your kid knows: come to me first. No punishment, no questions you won't help them answer.
  • Identify a trusted adult — even if it's not you. A coach, an aunt, a school counselor. Someone they can tell if it ever feels too hard to tell you.
  • Establish an "exit plan" for unwanted contact. A scripted response. A code word. A guarantee they can disappear from a situation without explaining first.
  • Talk openly + often about what they do online — what's a deepfake, what's a scam, what predators sound like, what AI companions are designed to do.
  • Check privacy settings + review followers regularly. Frame it as safety, not surveillance. Revisit as kids age into more autonomy.
If something goes wrong

The crisis playbook — what to do, what NOT to do, and where to report.

Hope you are never here
Online threats include misuse of personal photos, AI-generated deepfakes, and scams used to trick kids. No child is responsible for being deceived. They deserve protection, not blame.
✓ DO
  • Stay calm. Listen to your child without judgment. Shame is what predators count on — remove it from the equation.
  • Act fast to minimize harm. Screenshot and preserve everything for reporting.
  • Report immediately using the resources below.
✕ DON'T
  • Don't delete anything — messages, images, accounts. Preserve all evidence.
  • Don't contact or confront the offender — it can destroy evidence and put your child at greater risk.
  • Don't pose as your child or continue the conversation. Undercover contact is for sworn law enforcement only.
  • Don't send payments. They will not stop asking — paying confirms a target.
  • Don't panic.
Reporting + crisis resources
CyberTipline (NCMEC)·report.cybertip.org·1-800-843-5678·24/7
FBI tips·tips.fbi.gov·1-800-CALL-FBI
Local authorities·Call your local police non-emergency line
Take down content·TakeItDown.NCMEC.org
Crisis support·Call 988
More info·icactaskforce.org/internetsafety
Decide together. Define it on paper — family media plan, shared rules, visible commitments. Rules your kids help write are rules they actually live. No one stage is "correct." What works at 6 won't at 11. The check isn't whether you're doing it perfectly — it's whether you're paying attention, evolving with your child, and pairing these guardrails with the counterweights you build at home and the portrait you model.
Wait Until 8th Smartphone Free Childhood AAP Family Media Plan Common Sense age guides FOSI Good Digital Parenting
04
GET CURIOUS · Your kid. The school. AI.
AI in school is not a question of "will they use it" — they already do. The question is whether AI extends their thinking or replaces it. That depends on guidance — at school and at home.
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Curiosity is the parent move here. Not interrogation — curiosity. About what your kid is actually doing with AI, about what the school has in place, and about the tools themselves. You don't need to be an expert. You just need to be interested enough to ask.

AI is already in your kid's day
Before they open ChatGPT — they've already used AI 20 times today.
The question isn't whether kids use AI. It's whether they know when they are — and whether anyone has taught them how.
Streaming · Netflix · Spotify · YouTube Voice · Siri · Alexa Maps · Waze Photos · Face ID · Touch ID Search · Google · Perplexity Adaptive Learning · IXL · DreamBox Math Solvers · Photomath · Mathway Writing · Grammarly Social Feeds · Instagram · TikTok In-Game AI · Roblox · Fortnite AI Tutors · ChatGPT · Claude · Gemini AI Companions · Snapchat My AI · Replika · Character.AI
84%
of high schoolers used AI for schoolwork in 2025
80%
say no teacher has taught them how to use AI
40%
of schools ban AI outright (only 13% actively encourage it)
83%
of ChatGPT users couldn't recall their own AI-assisted writing minutes later
Partner with the school
Four questions worth asking
Does the school have a written AI use policy? Are teachers trained to use AI as a Socratic tool, not an answer machine? Are students taught when AI helps and when it hurts learning? How is the school handling AI detection and academic integrity?
Shape the AI relationship at home
Two questions worth asking your kid
Not "did you finish your homework?" but: "What did you figure out today?" and "What part was hard?" If they can explain their thinking, AI was a tool. If they can only describe what they produced, AI may have replaced the thinking.

Guided AI vs. Unguided AI — what to steer toward

Not all AI use is the same. Guided use strengthens thinking. Unguided use replaces it. Here's how to tell the difference.

✅
Guided AI

Used responsibly, AI can deepen reasoning, expand creativity, and strengthen agency by teaching students when and how to use these powerful tools.

Clarifying Understanding
AI helps students explore complex ideas through multiple angles — after they've attempted the task themselves first.
Stanford Graduate School of Education 2024; Kestin et al., Scientific Reports 2025
Improved Access & Learning Support
AI can provide additional scaffolding for students with learning differences, offering differentiated practice that adapts to individual needs.
U.S. Dept. of Education OET-2024; CAST Universal Design for Learning 2023; Harvard GSE 2024
Timely Feedback & Iteration
AI offers immediate, personalized feedback on drafts, guiding students to revise and improve before final submission — promoting an active attitude and growth mindset.
Stanford HAI 2024; OECD 2023; Kestin et al., Scientific Reports 2025
Metacognition & Reflection
When guided, AI prompts students to explain their reasoning, identify gaps in understanding, and reflect on their learning — helping them critically analyze AI rather than accept it.
OECD Education & Skills 2023; Harvard GSE 2024; APA 2025
Curiosity, Creativity & Exploration
AI tutors designed for education support brainstorming, question-generation, and creative exploration without replacing original thinking or student voice.
Harvard Graduate School of Education 2024; MIT Media Lab; Stanford d.school 2023
Agency Through Intentional Use
AI acts as a thought partner rather than a shortcut — amplifying human thinking and strengthening student judgment. Students learn when to use it and when not to.
APA Health Advisory 2025; UNESCO 2025; Stanford Human-Centered AI 2024
Learning Gains with AI Socratic Tutors
When AI is embedded to ask questions, give hints, and require justification — rather than simply giving answers — it can significantly improve critical thinking, grades, and engagement. The best results come from hybrid models combining human and AI instruction.
ISTE 2024; Anthropic 2025; Kestin et al., Scientific Reports 2025; UNESCO 2025
"AI as a Socratic tutor, not an answer machine." Students using custom-built AI tutors had learning gains more than double those of the classroom group. — Harvard Scientific Reports
⚠️
Unguided AI

The risk isn't that kids use AI. The risk is that AI dependence erodes the agency, memory, and motivation that learning requires.

Weakened Critical Thinking
Unsupervised AI use is linked with reduced capacity for decision-making, critical thinking, and analytical reasoning. A 2025 MIT Media Lab study found that frequent ChatGPT users showed lower neural connectivity and engagement scores — consistently underperforming at neural, linguistic, and behavioral levels compared to pen-and-paper and brain-only groups.
MIT Media Lab 2025; Stanford GSE / SCALE 2024; Barr et al., Cognitive Offloading 2023
Poor Memory & Retention
Students remember less when AI writes, summarizes, or completes work for them. Without productive struggle, learning doesn't stick.
83% of ChatGPT users couldn't quote their own AI-assisted writing mere minutes after completion. — MIT Media Lab 2025
Drop in Motivation & Effort
AI promotes dependence and triggers metacognitive laziness. By their third month of use, students in the MIT study were already resorting to copy-paste behavior in their essays. The top 5 negative effects of AI dependency include increased laziness, spread of misinformation, lower creativity, and reduced critical thinking.
Harvard / Wharton AI & Motivation 2024; Stanford HAI 2024; Deci & Ryan, Self-Determination Theory
AI Is Being Used Socially, Not Just Academically
Some adolescents lean on AI tools or "companions" in ways that reduce real-world interaction, connection, and emotional practice — substituting AI relationships for human ones.
1 in 3 teens prefer AI over humans for serious personal conversations; 34% reported feeling uncomfortable after AI-companion interactions. — APA Health Advisory 2025; Common Sense Media 2024
Lowered Self-Confidence
When students compare their authentic work to AI-polished outputs, they experience a measurable drop in self-confidence and perceived ability.
APA Health Advisory 2025; Harvard GSE 2024; Common Sense Media 2024
Erosion of Agency
When decisions, wording, and problem-solving are outsourced to AI, students lose practice in making choices and judgments independently — erasing productive struggle entirely.
Brookings Institution 2024; Stanford Human-Centered AI 2024; OECD Education & Skills 2023
Nearly half of student-AI conversations sought answers or content with minimal engagement — bypassing higher-order thinking entirely. — Anthropic Education Report 2025 (574,000 student conversations analyzed)

What this means at home: Ask your child not just "did you finish your homework?" but "what did you figure out today?" or "what part was hard?" If they can explain their thinking, AI was likely a tool. If they can't explain what they produced, it may have replaced the thinking entirely.

📚
Resources for Parents
Trusted frameworks, organizations, and guides for navigating AI, screens, and digital childhood — drawn from the same sources that informed the K–12 AI Use Guidelines.
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Family Safety & Digital Citizenship
Common Sense Media — AI Ratings
Reviews, ratings, and family-friendly guidance on AI tools for kids.
Common Sense Digital Citizenship
Free K–12 curriculum and family materials for teaching digital citizenship.
ConnectSafely
Nonprofit providing safety tips, parent guides, and research for families.
Family Online Safety Institute
Research and resources on keeping children safe online.
StaySafeOnline (NCSA)
Cybersecurity education and awareness resources for families and schools.
AAP Family Media Plan
American Academy of Pediatrics guidance on screen time, digital habits, and balanced media use by age.
Protecting Kids Online
National Center for Missing & Exploited Children
Resources for protecting children in digital environments, including AI-generated content concerns.
CyberTipline (NCMEC)
The national reporting system for suspected online child sexual exploitation, enticement, and AI-generated CSAM.
NetSmartz
NCMEC's age-appropriate online safety lessons, videos, and discussion guides for families and classrooms K–12.
Internet Watch Foundation
International organization combating child sexual abuse imagery online, including AI-generated material.
Thorn — Digital Defenders of Children
Technology-based solutions to protect children from sexual exploitation, including AI-generated threats.
Student Privacy Compass
Resources for understanding and protecting student data privacy.
Understanding AI in Education
Code.org — AI Curriculum
Free AI literacy curriculum and resources for K–12 — for families and classrooms.
TeachAI
A coalition initiative providing guidance for teaching with and about AI in K–12.
Stanford HAI — AI in Education
Research on the impact of AI on learning outcomes and educational equity.
UNESCO — AI & Education
International framework for the ethical use of AI in education.
Movements & Voices Worth Knowing
The Anxious Generation
Jonathan Haidt's research and movement on smartphones, social media, and the rewiring of childhood.
Wait Until 8th
Parent-led movement to delay smartphones until 8th grade — community pledges and resources.
Smartphone Free Childhood
Parent movement supporting smartphone-free upbringing and community-led screen norms.
The Mediatrician — Digital Wellness Lab
Boston Children's Hospital pediatrician Dr. Michael Rich and his research lab — evidence-based guidance on kids, media, and screen use.
Dr. Jean Twenge
Psychologist behind iGen and Generations — data-driven research on how smartphones reshaped adolescent mental health.
Fairplay
Nonprofit pushing back on predatory marketing and addictive design aimed at children — policy and parent campaign work.
Screenagers
Dr. Delaney Ruston's documentary series and Tech Talk Tuesdays newsletter — parent-community staple on screens and family life.

Many of these resources also inform the K–12 AI Student Use Guidelines template that districts can adopt for their schools.

🎤
What parents learn in a Prompt-Ed session
Rebecca brings the full research picture directly to parent communities — translating the data into practical, honest conversations.
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93%
of teens' free time now occupied by screens — Dino Ambrosio, TED Talk; Prompt-Ed analysis
84%
of high school students used generative AI for schoolwork in 2025
80%
say no teacher has explicitly taught them how to use AI
83%
of ChatGPT users couldn't recall their own AI-assisted writing minutes later — MIT Media Lab 2025
8.5 hrs
average daily screen time for teens, not counting school — Common Sense Media 2021
186
times per day the average adult checks their phone — once every 5 minutes awake — Reviews.org 2026
01The Tech Timeline — how we got here
02Persuasive Design — what platforms are built to do
03The Hierarchy of Tech — why restriction alone doesn't work
04Wired for Shortcuts — how screens condition kids' brains
05Screentime — what the data actually shows
06AI in Numbers — how students are actually using it
07Guided vs. Unguided AI — what the research shows
08Privacy & Security — what kids (and parents) don't know
09AI Ethical Challenges — the questions schools are wrestling with
10The Counterweights — practical strategies for home
Request a presentation for your school → Evenings, PTAs, staff PD, community organizations, and conferences
Sources & research library
Every stat, finding, and study cited across Prompt-Ed parent materials. Fact-checked against primary sources.
▾

Teens, AI & Schoolwork

  • College Board (2025). U.S. High School Students' Use of Generative Artificial Intelligence (Research Brief). — 84% of HS students used AI for schoolwork in 2025, up from 79% in January 2025.
  • RAND Corporation (2024–2025). Using AI Tools in K–12 Classrooms; Uneven Adoption of AI. — 80% of students report no teacher has explicitly taught them how to use AI.
  • Kosmyna, N., et al. (2025, preprint). Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing. MIT Media Lab, arXiv:2506.08872. — 83% of ChatGPT users couldn't recall their own AI-assisted writing; LLM users consistently underperformed at neural, linguistic, and behavioral levels.
  • Gerlich, R. N. (2025). Artificial intelligence and the decline of critical thinking. Societies, 15(4), 1–18. — Ages 17–25 show highest AI dependence and lowest critical-thinking scores.
  • Kestin, G., et al. (2025). AI tutoring outperforms in-class active learning. Scientific Reports. — Harvard RCT showing Socratic AI tutors can significantly improve critical thinking and test scores.
  • Handa, et al. (2025). Anthropic Education Report: How University Students Use Claude. — Analysis of 574,000 student–AI conversations. Finds students primarily use AI for shortcuts unless provided structured guidance.
  • Center for Democracy and Technology (2025). AI in Schools: Teacher and Student Survey 2024–25. — 85% of teachers and 86% of students used AI in the 2024–25 school year.
  • Education Week Research Center (2024). The State of AI in K–12 Classrooms. — Major inconsistencies in district-level AI policy and teacher preparedness.
  • RAND Corporation (2025). AI Scaffolding in Education: Reducing Misuse and Building Critical Thinking. — Intervention studies show structured scaffolding reduces AI misuse while building critical thinking.
  • Quizlet (2024). State of AI in Education Survey.
  • Quizlet (2025). How America Learns Report. — 84–89% of students (ages 14–22) use AI for schoolwork.

Screen Time & Digital Reality

  • Common Sense Media (2021). The Common Sense Census: Media Use by Tweens and Teens. — 8.5 hrs average daily screen time for teens, beyond school.
  • Common Sense Media (2022–2025). The Dawn of the AI Era; Talk, Trust & Trade-Offs. — 72% of teens have tried AI companions; 34% report feeling uncomfortable after AI-companion interactions.
  • Reviews.org (2026). Americans' Cell Phone Use Survey. — Adults check their phones an average of 186 times a day.
  • Ofcom (2024–2025). Children and Parents: Media Use and Attitudes Report. — Global benchmarks for screen exposure and device access.
  • Pew Research Center (2024–2025). Teens, Social Media & Technology; How Parents Describe Their Kids' Tech Use.
  • National Center for Education Statistics (2025). More Than Half of Public School Leaders Say Cell Phones Hurt Academic Performance.
  • UNESCO Global Education Monitoring Report (2025). Smartphones in Schools: Global Policy Update.
  • Arizona State Legislature (2025). HB 2484: Student Phone Use During Instructional Time Act.
  • Prompt-Ed analysis. Screen-time-over-lifetime projections: ~33% of a lifetime, ~50% of waking hours, 93% of teens' free time on screens.

The U-Curve: Moderation & Well-Being

  • Singh, B., Zhou, M., Curtis, R., Maher, C., & Dumuid, D. (2026). Social Media Use and Well-Being Across Adolescent Development. JAMA Pediatrics. — 100,991 Australian adolescents (grades 4–12). U-shaped association: highest users AND nonusers in later adolescence both had greater odds of low well-being (boys grade 10–12 OR 3.00). Moderate users healthiest across 8 domains.
  • Przybylski, A. K., & Weinstein, N. (2023). Digital balance and well-being. Nature Human Behaviour, 7(2), 134–140. — Links excessive digital exposure to attention disruption and reduced well-being.
  • U.S. Surgeon General (2023). Social Media and Youth Mental Health: Advisory. — Warns that digital intensity harms attention, sleep, and mental health.
  • American Psychological Association (2023–2024). APA Task Force on Social Media and Youth Mental Health Report; AI and Emotional Development. — Reviews how persuasive design and emotionally compliant chatbots can weaken attention, empathy, and frustration tolerance in youth.
  • National Academies of Sciences, Engineering, and Medicine (2023–2024). Social Media and Adolescent Health: Consensus Report.
  • Haidt, J. (2024). The Anxious Generation. Penguin Press. — Argues that smartphones rewired childhood attention and emotional resilience.
  • University of Washington Center for an Informed Public (2024). AI Companions and Adolescent Coping Styles. — AI companions encourage avoidant coping and reduce emotional regulation.

Attention, Cognition & the Brain

  • Mark, G. (2023). Attention Span. Hanover Square Press. — UC Irvine research: 23 minutes 15 seconds to return to the original task after a digital interruption.
  • Rosen, L. California State University Dominguez Hills. Cortisol-anxiety and smartphone separation research. — Typical user feels cortisol-driven anxiety to check their phone within 15 minutes of pausing.
  • Stone, L. Continuous Partial Attention framework. — The constant, self-interrupting pattern of use leaves cognition fragmented even when "off-screen."
  • Bjork, R. A., & Bjork, E. L. (2022). Desirable difficulties in learning. Psychological Science in the Public Interest, 23(1), 1–45. — Effort strengthens long-term memory; AI shortcuts undermine durable learning.
  • Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google effect on memory. Science, 333(6043), 776–778. — Expecting digital tools to remember for us weakens memory encoding.
  • Christakis, D. A. (2022). How digital media shapes attention and cognition. JAMA Pediatrics, 176(9). — High-speed digital content reduces focus and increases preference for instant gratification.
  • Yalçın Kanbay, et al. (2024). Digital amnesia: The erosion of memory. — Habitual digital reliance impairs memory consolidation.
  • Eastwood, J. D., et al. (2012). The unengaged mind: Defining boredom. Perspectives on Psychological Science, 7(5), 482–495. — Boredom promotes creativity and deeper reflection.

The PNAS 2-Week Study

  • Castelo, N., Kushlev, K., Ward, A. F., Esterman, M., & Reiner, P. B. (2025). Blocking mobile internet improves sustained attention, mental health, and well-being. PNAS Nexus, 4(2). — 2 weeks of mobile-internet blocking improved well-being, lifted mental health (larger effect than antidepressants), and restored sustained attention equal to 10 years of age-related decline.

The Counterweights (Brain-Building Research)

  • Wolf, M. (2018). Reader, Come Home: The Reading Brain in a Digital World. HarperCollins. — UCLA SEIS research: sustained reading strengthens neural circuits for comprehension, empathy, and focus.
  • Mueller, P. A., & Oppenheimer, D. M. (2014). The Pen Is Mightier Than the Keyboard. Psychological Science, 25(6), 1159–1168. — Handwriting builds memory, reasoning, and self-regulation pathways typing bypasses.
  • Van der Weel, F. R., & Van der Meer, A. L. H. (2024). The neural advantage of handwriting over typing. Frontiers in Psychology, 15. — Handwriting activates widespread brain networks supporting memory and comprehension.
  • Whitebread, D., et al. (2012). The importance of play in early childhood development. University of Cambridge Research. — Unstructured play builds executive-function skills foundational to reasoning and problem-solving.
  • Gray, P. (2013). Free to Learn. Basic Books. — Boston College research on self-directed play, executive function, and emotional regulation.
  • Berman, M. G., Jonides, J., & Kaplan, S. (2008). The cognitive benefits of interacting with nature. Psychological Science, 19(12), 1207–1212. — Foundational Attention Restoration Theory: even 20 minutes in nature restores attention.
  • Fiese, B. H., et al. (2002–2018). Family Mealtime Research Program, University of Illinois. — Family meals build vocabulary, lower anxiety, and strengthen attachment.
  • Walker, M. (2017). Why We Sleep. Scribner. — UC Berkeley research on sleep, memory consolidation, and cognitive/mood regulation.
  • American Academy of Pediatrics (2016–ongoing). Family Media Plan, HealthyChildren.org. — Practical guidelines for families on media use and phone-free bedtime routines.
  • American Academy of Pediatrics (2023). Media Use in School-Aged Children and Adolescents.
  • American Academy of Pediatrics (2024). AI in Pediatric Learning Environments.
  • Mann, S., & Cadman, R. (2014). Does being bored make us more creative? Creativity Research Journal, 26(2), 165–173.
  • Turkle, S. (2023). Reclaiming Conversation (Updated ed.). Penguin Books. — Digital communication lowers empathy and relational skills.

Parent Modeling & Family Media Behavior

  • Lauricella, A. R., Wartella, E., & Rideout, V. J. (2015). Young children's screen time: The complex role of parent and child factors. Journal of Applied Developmental Psychology, 36, 11–17. — Parents' own screen use is the strongest single predictor of young children's screen use.
  • Common Sense Media (2024). AI and the Family Report. — Adults who model intentional technology use shift family norms faster than restrictive rules alone.
  • American Academy of Pediatrics. Family Media Plan (HealthyChildren.org). — Practical framework for families to build their own media balance together rather than follow a template.

AI & Learning Effects

  • Bastani, et al. (2024–2025). Generative AI without guardrails can harm learning. British Journal of Educational Technology.
  • Babaei, E., & Leike, J. (2024). Automation bias and self-efficacy in AI-assisted learning. Computers & Education, 205, 104834.
  • Buçinca, Z., et al. (2021). To trust or to think: Cognitive forcing functions can reduce overreliance on AI. Proc. ACM HCI. — Simple prompts improve critical evaluation and reduce blind acceptance.
  • Bermeo, et al. (2025). Impact of AI on virtual learning: Self-sufficiency and academic confidence in university students.
  • BestColleges (2024). AI and Student Confidence Survey. — Nearly half of college students feel less academically capable after using AI.
  • dos Santos, R. P. (2023). Enhancing physics learning with ChatGPT, Bing Chat, and Bard as agents-to-think-with. arXiv.
  • Dong, X., et al. (2025). Transforming learning or empty promise? A meta-analysis of generative AI in education.
  • Essel, H., et al. (2022). Virtual teaching assistant (chatbot) in Ghanaian higher education. Education and Information Technologies.
  • Fakour, A., & Imani, M. (2025). Socratic wisdom in the age of AI: ChatGPT vs human tutors.
  • Hao-Ping, et al. (2025). The impact of generative AI on critical thinking.
  • Jia, Pan, & Neary (2025). Effect of GenAI dependency on university students' academic achievement. Behavioral Sciences.
  • Lee, J., & Low, E. (2024). Using generative AI in education: The case for critical thinking. Frontiers in AI.
  • Lee, et al. (2025). The impact of generative AI on critical thinking: Reductions in cognitive effort and confidence.
  • Liu, H., et al. (2024). Integrating LLMs into EFL writing instruction: CALLA-LLM. Computer-Assisted Language Learning.
  • Qi, X. (2025). A systematic review and meta-analysis of generative AI in higher education. ScienceDirect.
  • Stanford SCALE / Yang, et al. (2025). AI improves programming learning when paired with scaffolding.
  • Steenbergen-Hu, S., & Cooper, H. (2014). Meta-analysis of intelligent tutoring systems in K–12 math. Journal of Educational Psychology, 106(2), 397–417.
  • Tang, C., et al. (2025). The impact of ChatGPT on students' academic achievement.
  • Thomas, R., et al. (2024). Improving student learning with hybrid human-AI tutoring: Evidence from i-Ready.
  • Tian, Y., & Zhang, Y. (2025). Learners' AI dependence and critical thinking. Acta Psychologica.
  • Wang, J., & Fan, W. (2025). ChatGPT on learning performance and higher-order thinking: A meta-analysis. Humanities & Social Sciences Communications, 12, 621.
  • Yang, et al. (2025). The effectiveness of ChatGPT in assisting high school students in programming learning.
  • Zhang, J. (2025). Meta-analysis of AI in education. Higher Education Studies, 15(2).
  • Zhang, S., et al. (2024). Do you have AI dependency? Problematic AI usage behavior.
  • Zhu, Y. (2025). Impact of generative AI on learning outcomes. Education & Information Technologies.

Academic Integrity & Cheating

  • McCabe, D. L., & Treviño, L. K. (1997). Individual and contextual influences on academic dishonesty. Research in Higher Education, 38(3), 379–396. — Institutional culture shapes student integrity.
  • Carrell, S. E., Malmstrom, F. V., & West, J. E. (2008). Peer effects in academic dishonesty. Journal of Human Resources, 43(1), 173–188. — Cheating spreads socially; one student influences up to 0.8 peers.
  • Lucifora, C., Pagani, L., & Rattini, V. (2014). Cheating and social multipliers in the classroom. Labour Economics, 28, 56–67.
  • Scientific American (2024). People are more likely to cheat when they use AI. — Automation bias as a driver of unintentional and intentional cheating.
  • Bartlett, T. (2023). AI-detection tools are likely to flag nonnative writing as cheating. The Chronicle of Higher Education.
  • Zou, J., et al. (2024). GPT detectors are biased against non-native English writers. Proceedings of the AAAI Conference on Artificial Intelligence, 38, 1879–1888. — Empirical documentation of systematic bias in AI detection tools.
  • Turnitin (2024). AI Writing Detection Efficacy Report. — Internal data on detection accuracy, including false-positive rates for legitimate student writing.
  • Narra, J., et al. (2025). Psychological safety in secondary AI education: A case for tech amnesty programs. RAND Corporation Research Brief. — Argues restorative, non-punitive approaches to AI misuse build psychological safety and long-term ethical reasoning.

Developmental Psychology Foundations

  • Bowlby, J. (1988). A Secure Base: Parent-Child Attachment and Healthy Human Development. Basic Books. — Foundational attachment theory: emotional safety enables moral and cognitive development. Predates digital technology but applies directly to modern parenting challenges.
  • Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press. — Zone of Proximal Development and scaffolded learning — theoretical basis for why guided AI use builds thinking while unguided AI use stunts it.
  • Dweck, C. (2006). Mindset: The New Psychology of Success. Random House. — Growth vs. fixed mindset: effort and learning from failure are central to durable growth.
  • Steinberg, L. (2014). Age of Opportunity: Lessons from the New Science of Adolescence. Houghton Mifflin Harcourt. — Neuroscience of adolescence showing prolonged brain plasticity through early 20s; reframes adolescence as a critical window for skill development.
  • Tangney, J. P., & Dearing, R. L. (2002). Shame and Guilt. Guilford Press. — Differentiation between shame and guilt; guilt supports ethical repair while shame undermines it. Relevant to how parents and schools address tech/AI missteps.
  • Brehm, J. W. (1966). A Theory of Psychological Reactance. Academic Press. — Foundational theory on why restrictive controls trigger resistance, with direct implications for how parents and schools frame tech boundaries.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman. — Belief in one's abilities drives motivation, effort, and learning persistence.

Policy, Framework & Global Guidance

  • U.S. Department of Education, Office of Educational Technology (2023–ongoing). Artificial Intelligence and the Future of Teaching & Learning.
  • UNESCO (2023; updated 2025). Guidance for Generative AI in Education and Research.
  • Organisation for Economic Co-operation and Development (2024). AI Literacy for Human Capital Development. — Recommends integrating AI literacy and critical thinking into national education strategies.
  • International Society for Technology in Education (2024). AI in Education: Policy Framework and Implementation Guide.
  • Brookings Institution (2024). AI and Education: Practical Policy Playbook.
  • Cato Institute (2024). Balancing Safety and Freedom in Youth Online Policy.
  • Electronic Frontier Foundation (2024). Age Verification and Online Safety: Privacy Implications.
  • World Bank (2024). Education and the AI Workforce Transition.
  • World Economic Forum (2024). Future of Jobs Report 2024. — Critical thinking identified as the most important skill in an AI-driven economy.
  • McKinsey Global Institute (2024). Generative AI and the Future of Work 2024.
  • OpenAI Research (2024). Frontiers 2024: Trends in Generative AI Capability Scaling.
  • Metaculus Forecast Community (2025). Human-Level AI Median Forecast. — Human-level AI predicted around 2027.
  • Bostrom, N. (2023). Superintelligence (10th Anniversary ed.). Oxford University Press.

Parent-Facing Research & Family Resources

  • Barna Group (2024). Parents Worry About AI But Know Little About It. — Survey of 800 U.S. adults. Parents deeply worried but not taking action, feeling overwhelmed without knowing where to start.
  • Pew Research Center (2025). Digital Divide and AI: Equity in the Age of Automation. — Survey of 2,457 parents across income levels. AI-preparedness gap consistent across demographics; largest effect size in any parenting intervention study related to technology.
  • Common Sense Media (2025). Teens, Parents, and Algorithmic Manipulation: The New Privacy Divide. — Growing gap between teen and parent awareness of algorithmic manipulation. Includes guidance for "amnesty policies" at home.
  • GoStudent (2025). The Future of Education Report. — International survey across 15 countries: 60% of children outpace parents in AI knowledge; 58% of parents recognize AI skills as essential for future careers.
  • Internet Matters (2024). Children and AI Report. — Schools failing to communicate AI policies to parents; parents who did receive information were 3x more likely to support school AI initiatives.
  • FOSI (2025). Teens, Tech, and Peer Influence. — 18-month longitudinal study tracking 500 adolescents; peer influence on tech use grows steadily ages 11–15 then plateaus. Parental values still shape the broader framework.
  • Harvard Center on Media and Child Health (2024). Peer Influence and Adolescent Neurodevelopment. — Neuroimaging study showing peer approval activates reward centers similarly to addictive substances.
  • American Academy of Pediatrics (2024). Executive Function and Digital Parenting. Clinical Report. — Clinical observation-based findings on how structured digital parenting supports executive function development.
  • CDC (2024). Digital Divide and Family Stress: National Survey Data. — Families reported managing children's tech use as their third highest stressor after finances and work-life balance.
  • National PTA (2024). Parent Perspectives on Digital Safety and Learning.
  • Project Tomorrow (2024). Speak Up Research Project for Digital Learning.
  • Pew Research Center (2024). How Parents Feel About Their Kids' Tech Use.
  • Pew Research Center (2024). Parents, Technology, and Trust in Public Institutions.
  • Common Sense Media (2022). Parenting in a Digital Age.
  • Common Sense Media (2023). Parent Voices: Technology, Homework, and Anxiety.
  • Common Sense Media (2024). AI and the Family Report.
  • FOSI (2023). Online Safety in the Home: Parent Attitudes & Behaviors.
  • FOSI (2024). Good Digital Parenting Framework.
  • Aspen Institute (2023). The Parent Agenda.
  • Aspen Institute Task Force on Digital Citizenship (2024). Raising Kids in the Age of Algorithms.
  • New America (2023–2024). Family Digital Literacy Guide.
  • New America (2024). AI & Education: What Parents Want Schools to Know.
  • Harvard's Graduate School of Education (2023). Kids and Tech: Managing Technology with Care and Compassion.
  • Harvard's Graduate School of Education (2024). Teens, Tech, and Emotional Health.
  • Stanford CRDT (2024). AI in the Classroom: A Family Guide.
  • CoSN (2024). AI Readiness for School Communities.
  • EDUCAUSE (2024). What Parents Need to Know About AI in Schools.
  • RAND (2024). Parent Experiences with Technology and Learning Post-Pandemic.
  • CDC (2023). Youth Risk Behavior Survey – Parent Interpretive Report.
  • Cooney Center (2024). AI and Families: What Parents Need to Know.
  • NASP (2023–2024). Technology, Learning, and Emotional Health: Guidance for Schools and Parents.

Last updated April 2026 · 130+ entries across 12 thematic groups · Fact-checked against primary sources whenever available; preprints flagged. Available in English and Español.

The U-Curve · JAMA Pediatrics, 2026 · n = 100,991

The answer was never a number. Moderate, intentional use produced the best outcomes.

A 3-year longitudinal study of 100,991 Australian adolescents in grades 4–12 found that the relationship between social media use and adolescent well-being follows a U-shape — too much harms, but so does none at all, especially in later adolescence. The takeaway: blanket time limits miss the point.

U-shape curve showing girls and boys well-being across social media use levels — moderate use produces best outcomes for both, while heavy use harms most for younger girls and no use harms most for older boys.
Finding 01
The U-shape
Both nonusers AND highest users had elevated odds of low well-being. Moderate users were healthiest across 8 validated well-being domains.
Finding 02
Heavy use hits girls hardest in middle school
For girls in grades 7–9, the highest users had 3.13× higher odds of low well-being vs. moderate users.
Finding 03
No use hits boys hardest in high school
For boys in grades 10–12 with no social media use, odds of low well-being were 3.00× higher — exceeding even the heaviest users.
Finding 04
8 well-being domains measured
Happiness, optimism, life satisfaction, worry, sadness, perseverance, emotional regulation, cognitive engagement.

"Public health recommendations should move beyond simple time-based limits to promote healthy, balanced, and purposeful digital engagement."

— Singh, Zhou, Curtis, Maher & Dumuid, JAMA Pediatrics, 2026

The U-shape across development — by age and sex

Odds of low well-being vs. moderate users (reference = 1.0×). The pattern flips with age: heavy use is the dominant risk in middle school; abstinence becomes the dominant risk by high school, especially for boys.

6-panel grid showing odds ratios for low well-being across no use, moderate, and heavy use, broken out by sex (girls / boys) and grade group (4-6, 7-9, 10-12).
How the study was run
  • 100,991 adolescents · grades 4–12 · Australia
  • 173,533 observations across 3 years (2020–2022)
  • After-school use only — 3pm–6pm weekdays
  • Categories: None (0 h/wk) · Moderate (<12.5 h/wk) · Highest (≥12.5 h/wk)

Source: Singh, B., Zhou, M., Curtis, R., Maher, C., & Dumuid, D. (2026). Social Media Use and Well-Being Across Adolescent Development. JAMA Pediatrics. doi:10.1001/jamapediatrics.2025.5619 · Read the full study →

Take a Break · The PNAS 2-week study Must Try

Two weeks off the internet can reverse a decade of cognitive decline.

Half of American smartphone users — and 80% of those under 30 — worry they use their device too much. A 2025 randomized controlled trial in PNAS Nexus measured what actually happens when you take the internet off the phone for two weeks. The findings are extraordinary — and reproducible at home.

Finding 01
Screen time dropped sharply
Blocking mobile internet cut overall smartphone use significantly — even just two weeks in.
Finding 02
Subjective well-being improved
Higher life satisfaction and more positive affect across participants.
Finding 03
Mental health gains beat antidepressants
Improvements in mental health were larger than typical gains from antidepressants.
Finding 04
10 years of attention restored
Sustained attention rebounded by a magnitude equal to 10 years of age-related decline.
How they ran the study
  • 467 participants (average age 32)
  • 4 weeks duration — randomized controlled trial
  • App blocked all mobile internet — browsers, social media, everything
  • Calls and text messages still allowed — the phone still worked as a phone
Try this at home. Apps like Opal, Freedom, or your phone's built-in screen-time limits can block mobile internet for set periods. Even two weeks shows measurable change. Pick a window. Tell your family. Watch what comes back.

Source: Castelo, N., Kushlev, K., Ward, A. F., Esterman, M., & Reiner, P. B. (2025). Blocking mobile internet improves sustained attention, mental health, and well-being. PNAS Nexus, 4(2). Read the full study →

We are the turning point

Our digital habits are their digital inheritance.

No one has a complete playbook. But four levers, used together — MODEL · BUILD · GUARDRAILS · GET CURIOUS — are how we actually move the needle. We are the turning point — but only if we actually decide.

Tool · defrag.
See your child's screen time in lifetime context
defrag. converts daily screen time into a lifetime picture — showing how many years of waking life are spent on screens by the time a child reaches adulthood. It's a different kind of conversation starter.
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7+
years of waking life on screens by age 18 at average usage
Parent Voices

"Let's do a workshop and take you to every school district! The schools are using more screens in education and need creative ways to help kids build critical thinking tools as well. Also parents everywhere."

— Rachel · Arizona · post-talk survey
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