From the K–12 edition of October 15, 2026
SCORE Guiding Principles: AI literacy and durable skills, pilots with evaluation, safety at the center, and AI that amplifies teachers
State Collaborative on Reforming Education (SCORE) · State education advocacy / K-12 policy guidance · Tennessee (statewide); transferable to other state advocacy and SEA contexts with limits
- Publisher
- Tennessee SCORE
- Original publication
- October 2026 (PDF FINAL100726; landing page October 7, 2026)
- Source retrieved
- 2026-10-16
- Event date
- 2026-10-07
What happened
SCORE's October 2026 memo Guiding Principles for AI in Tennessee Education (PDF dated FINAL100726; landing page October 7, 2026) updates May 2025 recommendations as Tennessee moves from exploration to implementation. Seven principles: (1) all students should develop AI literacy; (2) durable skills deserve renewed prioritization; (3) effective research-backed teaching remains essential; (4) responsible innovation guided by pilots, learning networks, impact evaluation, and sustained investment; (5) keep safety and student outcomes at the center; (6) AI should amplify, not replace, human connections and educator expertise; (7) leaders need trusted support to evaluate safe, ethical, effective tools. Cites >60% of TN teachers and >80% of administrators using AI; Sumner County Coursemojo pilot proficiency gains (vendor-evaluated); TN Public Chapter 808 K-5 screen-time minimization; Public Chapter 1056 funding AI educator courses for grades 6–12; State Board/TDOE AI in Education Working Group. Why now: not previously archived; released this month and pairs literacy credentials with evidence-before-scale and safety/procurement expectations.
Why it matters
Gives SEAs and districts a seven-principle operating checklist that connects literacy programs to evidence-before-scale, safety/screen-time law, procurement support, and teacher-centered implementation—directly usable alongside tonight's Wyoming credential and federal evidence-gap coverage.
Evidence and measured results
Advocacy synthesis drawing on Tennessee Educator Survey usage figures, cited pilots (including Sumner/Coursemojo from secondary sources), and state legislation (Public Chapters 808 and 1056). Not a new causal evaluation.
Limitations and uncertainty
Tennessee advocacy context; not an RCT. Outcome statistics for named products are cited from other studies and should not be treated as SCORE-generated causal findings. October 7 publication is slightly before the last edition date but was not in the archive.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-15; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- States are moving from AI exploration to adoption without shared principles that tie literacy, safety, teaching quality, and evaluation together.
- Stakeholders
- State education agency and board
- District superintendents and CAOs
- School boards
- Teacher leaders
- Advocacy and workforce partners
- Discovery questions
- Which of the seven principles are already in local policy?
- How are AI pilots evaluated before scale?
- What K-5 screen-time or safety rules constrain tool choice?
- Who helps districts vet pedagogy, evidence, and data practices?
- Value hypothesis
- A principles-based operating model could reduce fragmented tool adoption and improve decision quality; outcome gains are not demonstrated by this memo.
- Potential engagement
- 6–10 week principles-to-practice engagement: gap analysis, draft expectations, pilot/evaluation template, and procurement question bank.
- Unsupported claims
- SCORE does not prove any named product improves learning.
- Cited pilot percentage-point gains are not independently verified here.
- No costed statewide implementation plan.
Pre-sales engineering
Role takeaway
- Fit
- Fits teacher-mediated, curriculum-aligned platforms with evaluation telemetry; weak fit for unsupervised answer-giving student chatbots.
- Architecture and integration
- Teacher-in-the-loop assistants tied to HQIM, grade-band policy flags, pilot cohort tagging, and exports for impact evaluation.
- Prerequisites
- Instructional vision and HQIM
- Pilot governance
- Privacy review capacity
- Teacher PD pathway
- Constraints
- Tennessee-specific statutes cited
- Evidence base still limited
- Political screen-time pressures
- Security
- Require transparent student-data practices in procurement; prefer tools with clear retention and non-training clauses where required by policy.
- Proof of value
- Pilot metrics defined before launch
- Teacher review of AI outputs documented
- Safety/screen-time rules enforced in product config
- Literacy objectives mapped to features
Delivery
Role takeaway
- Work
- Translate seven principles into adopted guidance, pilot evaluation routines, procurement updates, and teacher AI learning pathways.
- Dependencies
- SEA/board sponsorship
- Research or evaluation partner
- PD funding
- District participation
- Ownership
- State academic and digital-learning leadership with advocacy partners; districts own local policy.
- Skills and adoption
- Educator AI courses (grades 6–12 analog to TN PC 1056) plus leader sensemaking on durable skills and evaluation.
- Governance checkpoints
- Pilot approval with evaluation plan
- Annual principles review
- Procurement evidence/data check
- K-5 technology benefit justification
- Acceptance criteria
- Published local/state expectations mapped to seven principles
- At least one evaluated pilot completed
- Procurement checklist updated
- Teacher PD enrollment underway
- Risks
- Principles without funding
- Vendor case studies mistaken for causal proof
- Safety and literacy goals collide
- Fragmented local interpretation
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Favours instructionally coherent, curriculum-aligned AI that supports teachers (example cited: curriculum-aligned teaching assistant) over isolated point solutions. Interpretation: platforms should expose teacher controls, evidence hooks for pilots, and grade-band safety configurations.
Governance
Who approves, reviews and stays accountable for outcomes?
Calls for shared statewide guidance, trusted evaluation tools, procurement support, and collaboration so districts are not alone. Safety and student outcomes are organizing constraints alongside literacy and workforce readiness.
Security and privacy
What data, permissions and controls need testing?
Urges procurement that is transparent about student-data protection; references other states' privacy-agreement assistance and vendor safety disclosures (Utah, Idaho) as models. No technical control specification.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Treats AI literacy and durable skills (judgment, collaboration, critical thinking) as universal career-readiness needs, not only STEM tracks. Notes CTE teacher comfort gaps on industry AI skills.
Procurement
What should contracts, pricing and exit terms secure?
Leaders need trusted support to evaluate tools that are safe, ethical, effective, pedagogy-aligned, and transparent on student data—procurement is framed as a capacity problem, not only a contract problem.
Operating model
Which teams own the service once it runs?
Argues successful implementation depends less on the technology than on surrounding conditions: shared guidance, evaluation tools, and statewide collaboration.
Publication history
- 2026-10-15K–12 · Issue 394 resources
Stable resource ID: tn-score-ai-guiding-principles-20261007