<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><id>https://sled.lighthouseadvisory.consulting/feeds/k12.xml</id><title>SLED AI Adoption Intelligence · K–12</title><link rel="self" type="application/atom+xml" href="https://sled.lighthouseadvisory.consulting/feeds/k12.xml"/><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12"/><updated>2026-09-14T03:06:20.537Z</updated><author><name>Lighthouse Advisory</name></author><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-13</id><title>K–12 · Issue 08 · 2026-09-13</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-13"/><updated>2026-09-14T03:06:20.537Z</updated><published>2026-09-13T00:00:00.000Z</published><summary>Three newly archived sources examine California district approval rules, teacher rubric-authoring friction and Hong Kong school AI planning. The workshop reports perceptions rather than retained learning or verified savings; official guidance describes processes and future training. One pattern connects oversight requirements to usable review workflows. These are older sources newly relevant to fall implementation, not September 13 breaking news. Independent costs, durable learning and verified security/accessibility outcomes remain gaps.</summary><content type="text">Three newly archived sources examine California district approval rules, teacher rubric-authoring friction and Hong Kong school AI planning. The workshop reports perceptions rather than retained learning or verified savings; official guidance describes processes and future training. One pattern connects oversight requirements to usable review workflows. These are older sources newly relevant to fall implementation, not September 13 breaking news. Independent costs, durable learning and verified security/accessibility outcomes remain gaps.

3 sources · 1 cross-source patterns

Make human review feasible within the actual workflow
Can the responsible teacher correct a flawed output, preserve the correction through export and record approval before classroom use?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-12</id><title>K–12 · Issue 07 · 2026-09-12</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-12"/><updated>2026-09-13T03:03:52.988Z</updated><published>2026-09-12T00:00:00.000Z</published><summary>Two newly archived research reviews examine independent learning and teachers&#39; capacity to act on AI outputs. Mixed results and methodological limits support bounded local evaluation, not blanket adoption claims. One cross-source pattern connects learning and workload evaluation. Sources are older 2026 background, not September 12 news; their underlying studies overlap. Current security assurance, independent costs, accessibility outcomes and new district operational results remain gaps.</summary><content type="text">Two newly archived research reviews examine independent learning and teachers&#39; capacity to act on AI outputs. Mixed results and methodological limits support bounded local evaluation, not blanket adoption claims. One cross-source pattern connects learning and workload evaluation. Sources are older 2026 background, not September 12 news; their underlying studies overlap. Current security assurance, independent costs, accessibility outcomes and new district operational results remain gaps.

2 sources · 1 cross-source patterns

Evaluate learner independence alongside the capacity to provide support
Can students demonstrate independent learning while the support workflow stays within the staff time actually available?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-11</id><title>K–12 · Issue 06 · 2026-09-11</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-11"/><updated>2026-09-12T03:04:18.988Z</updated><published>2026-09-11T00:00:00.000Z</published><summary>Three newly archived sources connect teacher-supported writing feedback, current middle-school AI literacy expansion and international child-specific chatbot safeguards. Partnership findings and operator reach do not establish durable learning; UNICEF guidance is not a compliance certification. One cross-source pattern identifies educator support as planned implementation work. Sources span June–September 2026, not solely September 11 news. Independent learning effects, operating costs and verified accessibility/security outcomes remain gaps.</summary><content type="text">Three newly archived sources connect teacher-supported writing feedback, current middle-school AI literacy expansion and international child-specific chatbot safeguards. Partnership findings and operator reach do not establish durable learning; UNICEF guidance is not a compliance certification. One cross-source pattern identifies educator support as planned implementation work. Sources span June–September 2026, not solely September 11 news. Independent learning effects, operating costs and verified accessibility/security outcomes remain gaps.

3 sources · 1 cross-source patterns

Plan educator support as part of the implementation
What teacher preparation and ongoing support must be staffed and evaluated before another classroom or school joins?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-10</id><title>K–12 · Issue 05 · 2026-09-10</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-10"/><updated>2026-09-11T03:05:22.629Z</updated><published>2026-09-10T00:00:00.000Z</published><summary>Four newly archived sources examine assessment reliability, tutoring workflow trade-offs, LAUSD student-access restrictions and school staff data handling. Original research distinguishes scoring accuracy from agreement; an operator paper reports mixed tutoring metrics, not retained learning. Reporting and UK guidance support operational questions without proving policy benefits. Two cross-source patterns connect measurement validity and separate user/data decisions. These are older sources newly relevant to fall decisions, not September 10 news. Long-term learning, subgroup/accessibility outcomes, independent costs and security assurance remain gaps.</summary><content type="text">Four newly archived sources examine assessment reliability, tutoring workflow trade-offs, LAUSD student-access restrictions and school staff data handling. Original research distinguishes scoring accuracy from agreement; an operator paper reports mixed tutoring metrics, not retained learning. Reporting and UK guidance support operational questions without proving policy benefits. Two cross-source patterns connect measurement validity and separate user/data decisions. These are older sources newly relevant to fall decisions, not September 10 news. Long-term learning, subgroup/accessibility outcomes, independent costs and security assurance remain gaps.

4 sources · 2 cross-source patterns

Validate the AI measure before using it to judge the intervention
How do we know the scoring or engagement measure is reliable for this task and learner group?

Define student access and staff data handling as separate operating decisions
Which user, feature and data path is authorized, and who owns the unresolved cases?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-09</id><title>K–12 · Issue 04 · 2026-09-09</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-09"/><updated>2026-09-10T03:06:07.823Z</updated><published>2026-09-09T00:00:00.000Z</published><summary>Three newly archived sources examine the scope of a September 9 school AI privacy announcement, Kentucky&#39;s older implementation inventory and parent participation in AI decisions. The original agreement qualifies broad promotional claims; implementation lists and interview guidance do not establish learning, savings or safety effects. Two patterns connect product-specific review with accountable family participation. Inaccessible new reporting and UK testimony are excluded; durable learning, independent costs and current deployment verification remain gaps.</summary><content type="text">Three newly archived sources examine the scope of a September 9 school AI privacy announcement, Kentucky&#39;s older implementation inventory and parent participation in AI decisions. The original agreement qualifies broad promotional claims; implementation lists and interview guidance do not establish learning, savings or safety effects. Two patterns connect product-specific review with accountable family participation. Inaccessible new reporting and UK testimony are excluded; durable learning, independent costs and current deployment verification remain gaps.

3 sources · 2 cross-source patterns

Match each actual workflow to its evidence and protections
Which feature, data path, human decision and supplier term are actually covered by this approval?

Connect family participation to a decision that can still change
What can families influence before launch, and who records the response and resulting decision?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-08</id><title>K–12 · Issue 03 · 2026-09-08</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-08"/><updated>2026-09-09T03:03:44.925Z</updated><published>2026-09-08T00:00:00.000Z</published><summary>Two newly archived sources connect a September 8 independent scan of AI curriculum evidence with Washington district data-system pilots announced in August. Product claims need feature-specific validation, and pilot plans do not demonstrate benefits. One cross-source pattern supports a defined evidence gate before expansion. No new learning or savings result is claimed. International transfer, durable learning, independent operating costs, accessibility outcomes and security assurance remain gaps.</summary><content type="text">Two newly archived sources connect a September 8 independent scan of AI curriculum evidence with Washington district data-system pilots announced in August. Product claims need feature-specific validation, and pilot plans do not demonstrate benefits. One cross-source pattern supports a defined evidence gate before expansion. No new learning or savings result is claimed. International transfer, durable learning, independent operating costs, accessibility outcomes and security assurance remain gaps.

2 sources · 1 cross-source patterns

Make the actual feature or workflow the unit of evaluation
What version, baseline, human review step and stop condition define success for this specific pilot?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-07</id><title>K–12 · Issue 02 · 2026-09-07</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-07"/><updated>2026-09-08T03:05:11.339Z</updated><published>2026-09-07T00:00:00.000Z</published><summary>Three newly archived sources pair fall California district planning with a German classroom trial showing limited benefits from specialized self-regulation prompts. Two official plans describe future governance work, not demonstrated outcomes. The trial does not compare AI against ordinary instruction. Two patterns support decision-ready implementation and separate learning evaluation. No source is presented as newly published September 7 news. Durable learning, independently verified district costs, accessibility outcomes and security assurance remain gaps.</summary><content type="text">Three newly archived sources pair fall California district planning with a German classroom trial showing limited benefits from specialized self-regulation prompts. Two official plans describe future governance work, not demonstrated outcomes. The trial does not compare AI against ordinary instruction. Two patterns support decision-ready implementation and separate learning evaluation. No source is presented as newly published September 7 news. Durable learning, independently verified district costs, accessibility outcomes and security assurance remain gaps.

3 sources · 2 cross-source patterns

Community planning needs an explicit transition into operating decisions
Who turns each recommendation into a permitted use, supplier requirement, training activity and dated review?

Define learning evidence before completing the rollout plan
What independent and delayed learning measure, comparison and missing-data rule must be agreed before a pilot expands?</content></entry><entry><id>https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-06</id><title>K–12 · Issue 01 · 2026-09-06</title><link rel="alternate" type="text/html" href="https://sled.lighthouseadvisory.consulting/streams/k12/editions/2026-09-06"/><updated>2026-09-07T02:56:01.713Z</updated><published>2026-09-06T00:00:00.000Z</published><summary>Four newly archived sources examine fall K12 implementation and tutoring evidence: district adoption monitoring, independent research on organizational constraints, a supplier-authored supervised tutoring trial, and Stanford practice guidance. Usage growth is not learning evidence; promising same-day trial results do not establish durable gains or autonomous tutoring effectiveness. Three cross-source patterns support bounded evaluation and explicit human ownership. Sources span December 2025–August 2026; none is presented as newly published September 6 news. Long-term learning, accessibility outcomes and independently verified operating costs remain gaps.</summary><content type="text">Four newly archived sources examine fall K12 implementation and tutoring evidence: district adoption monitoring, independent research on organizational constraints, a supplier-authored supervised tutoring trial, and Stanford practice guidance. Usage growth is not learning evidence; promising same-day trial results do not establish durable gains or autonomous tutoring effectiveness. Three cross-source patterns support bounded evaluation and explicit human ownership. Sources span December 2025–August 2026; none is presented as newly published September 6 news. Long-term learning, accessibility outcomes and independently verified operating costs remain gaps.

4 sources · 3 cross-source patterns

Use adoption as implementation evidence, then test learning separately
Which adoption, staff-effort and independent-learning measures must be reported separately before renewal?

Human involvement is part of the tested tutoring service
Who reviews, intervenes and maintains student support when the AI service is unavailable or inappropriate?

Policy rollout needs operational owners and review checkpoints
Which named curriculum, school, IT and privacy owners must sign off before student access expands?</content></entry></feed>