K-12Issue 603 records
K–12
Seattle Public Schools banned Google Gemini districtwide after students bypassed a K-2 block, while outlining a grade-banded AI literacy ladder and facing board and parent demands for outcome evidence. An EdWeek Research Center survey finds many educators lack deepfake policies or recent training. Houston ISD's Nov. 4 AI Guidebook v3 requires teacher-directed AI below grade 6 and parental consent plus teacher permission for older students on a short vetted-tool list.
- Evidence records
- 3
- Cross-source patterns
- 1
- Evidence classes
- 2 independent reporting1 standards or public-body guidance
- Outcomes
- 2 cautionary1 emerging
- Source freshness
- 3 new this fortnight
- Research completed
- 2026-11-06
Choose a role to see its takeaway beside every record in the ledger.
Patterns across the evidence
Synthesis · Lighthouse Advisory interpretation
Districts are operationalizing generative AI as grade-banded access with adult gates, not open student chat
Seattle describes no classroom AI in K-2 and sequenced literacy thereafter while banning Gemini districtwide, and Houston ISD limits below-grade-6 use to teacher-directed approved tools and requires parental consent plus teacher permission from grade 6 up. Together they show developmental staging and adult authorization becoming the default control model under board and family scrutiny.
Operating questionFor each grade band, which generative AI actions are teacher-only, teacher-directed, or student-accessible with consent—and how is that enforced in the admin console?
Supporting evidenceSeattle Public Schools (reported by KUOW)Houston Independent School District
Evidence ledger
Full record · every source keeps its link and limitations
Seattle Public Schools bans Gemini districtwide, tightens elementary screens, and sketches a grade-banded AI literacy ladder amid parent pushback
At a Nov. 4 board meeting, Seattle Public Schools said Google Gemini is now banned for all students after a prior K-2 ban and a student loophole; YouTube will be blocked for K-5 and Minecraft for K-12 starting the next Monday, with curriculum exceptions for Minecraft. Officials described purchased MagicSchool AI and Microsoft Copilot and a developmental AI literacy vision (no classroom AI in K-2; learn-about-AI from grade 3; teacher-guided error/bias work by grade 6; high-school argument stress-testing and draft feedback). Board Director Evan Briggs said the presentation showed no data that MagicSchool raised reading scores, and Seattle Families for Intentional Tech rallied for a pause on student-facing generative AI.
Why it matters, evidence and limitations
- Why it matters
- Shows a large urban district simultaneously hardening student AI/search-adjacent access, buying approved teacher tools, and facing board/parent demands for learning evidence—directly transferable to other Workspace districts setting grade-band AI rules.
- Evidence and measured results
- On-the-record board-meeting reporting with named officials and parent advocates. No usage logs or achievement results.
- Limitations and uncertainty
- Single report; technical loophole unspecified; no independent learning-outcome evaluation of MagicSchool or Copilot in SPS.
EdWeek Research Center: many educators lack deepfake policies or recent training as AI image abuse outpaces school response
A nationwide EdWeek Research Center survey of 852 educators conducted in summer 2026 finds one in three do not know if their school or district has a policy for AI-generated fake images and videos, 22% say there is no policy, 2% say one is being considered, and 13% do not know what a deepfake is. Nine in 10 educators reported no training in the last two years on detecting or responding to deepfakes. Experts quoted urge explicit policy language, a unified incident-response plan, trauma-informed victim support, and plain-language student notice; surveyed responses most often include informing parents (56%), suspension (48%), expulsion (25%) and restorative practices (33%).
Why it matters, evidence and limitations
- Why it matters
- Gives districts a current U.S. educator baseline on deepfake policy and training gaps that safety, legal and student-services teams must close alongside classroom AI rules.
- Evidence and measured results
- National educator survey (n=852) plus expert commentary and cited 2024 CDT student survey background. Not an incident registry.
- Limitations and uncertainty
- Self-report survey from summer; does not measure actual deepfake incidence in respondents' schools; recommendations are expert interpretation.
Houston ISD AI Guidebook v3 (Nov. 4) sets teacher-directed AI below grade 6 and parental consent plus teacher permission for older students
Houston ISD's AI Guidebook Version 3, last updated November 4, 2026, allows students below 6th grade to use only district-approved generative AI in teacher-directed learning, while students in grade 6 and above need written parental consent and prior teacher permission for each approved educational task. Students must disclose AI assistance and may need to produce chat histories; the district says it does not promote AI detectors because of accuracy and bias limits. Classroom-approved tools listed are Google Gemini, Microsoft Copilot, Microsoft Reading Coach and Adobe Creative Cloud Suite; other student-facing tools require AI Support Team vetting. Staff must not enter PII into AI tools, must verify consent, and grades 3-5 generative AI chats are teacher-modeled only without individual student chat access.
Why it matters, evidence and limitations
- Why it matters
- Provides a concrete large-district operating model for grade-gated consent, teacher permission, vetted-tool lists and anti-detector guidance that other K-12 systems can compare to their own AI policies.
- Evidence and measured results
- Primary district guidebook PDF stating rules and approved tools. No compliance or learning-outcome data.
- Limitations and uncertainty
- Policy text only; consent uptake and classroom adherence unknown; living document may change after Nov. 4.
How to read this edition
Source findings, measured results and limitations come from the cited publications. Patterns, operating questions, role takeaways and implementation considerations are Lighthouse Advisory interpretation, stated as questions to validate locally rather than guaranteed outcomes. Vendor and operator claims are labeled as claims. Full research method.
- Independent reporting
- Independent reporting with attributable sources but without a formal evaluation design.
- Standards or public-body guidance
- Normative or advisory guidance from a standards body or public institution.