Technical Scope of Work
This document defines the comprehensive scope of work for the El Segundo USD AI Literacy and Workforce Development Project. The engagement spans 18 months to full implementation, organized into three interconnected tiers addressing administrators, teachers, and students.
Project Overview
| Parameter | Specification |
|---|---|
| Project Duration | 18 months to full implementation |
| Year 1 Investment | $350,000 |
| Year 2 Investment | $200,000 |
| Ongoing Investment | $150,000 annually |
| Primary Partner | Skafld Studio |
| Strategic Partner | Strategic Advisors |
Tier 1: Administrator Readiness Program
Timeline: Months 1-2 Objective: Equip district leadership with strategic understanding of AI transformation and its implications for education, workforce development, and equity.
Executive Briefing Series
Format: Four 90-minute sessions over 4 weeks
| Session | Topic | Learning Objectives | Deliverables |
|---|---|---|---|
| 1 | AI Economic Transformation | Understand macro-level workforce disruption; Recognize urgency of the entry-level job crisis | Executive summary document; Key statistics brief |
| 2 | AI in Education Landscape | Survey current AI tools and their educational applications; Identify peer district initiatives | AI tools matrix; Competitive analysis |
| 3 | Equity Implications | Analyze gender gap data; Understand socioeconomic access challenges | Equity framework document |
| 4 | Strategic Positioning | Define ESUSD's unique opportunity; Articulate vision and success metrics | Draft strategic vision statement |
Strategic Planning Workshops
Format: Two full-day workshops (8 hours each)
Workshop 1: Vision and Architecture
- Morning: Cross-domain pattern review (corporate, military, esports, guild systems)
- Afternoon: Architecture selection and customization for ESUSD context
- Output: Validated implementation architecture
Workshop 2: Stakeholder and Change Management
- Morning: Stakeholder mapping and engagement planning
- Afternoon: Change management strategy development
- Output: Stakeholder engagement plan; Change management playbook
Policy Framework Development
| Policy Area | Current State Assessment | Recommended Framework | Deliverable |
|---|---|---|---|
| AI Acceptable Use | Existing technology AUP | AI-specific addendum addressing student/teacher use | Draft policy document |
| Academic Integrity | Traditional plagiarism policy | AI-assisted work guidelines with attribution standards | Policy framework with implementation guide |
| Student Privacy | FERPA compliance | AI tool vetting checklist; Data handling protocols | Compliance matrix |
| Equity Access | Device lending program exists | Extended access for AI-intensive programs | Access expansion plan |
Stakeholder Engagement Strategy
Target Audiences and Messaging:
| Stakeholder | Primary Concern | Messaging Approach | Engagement Method |
|---|---|---|---|
| School Board | Budget, outcomes, risk | ROI-focused; Evidence-based; Risk mitigation emphasis | Board presentations; Regular briefings |
| Teachers Union | Workload, job security, autonomy | Empowerment focus; Professional development value; Voluntary early adoption | Union leadership meetings; Teacher champion recruitment |
| Parents | Safety, ethics, academic rigor | Student benefit emphasis; Ethics curriculum prominence; Career readiness | Information nights; Website updates; FAQ distribution |
| Local Employers | Workforce pipeline, skills relevance | Portfolio review participation; Hiring pathway input | Partnership meetings; Advisory board formation |
Tier 1 Success Criteria
| Metric | Target | Measurement Method |
|---|---|---|
| Administrator attendance | 100% of district leadership | Attendance tracking |
| Strategic vision approval | Board adoption | Board vote |
| Policy framework completion | All 4 policy areas addressed | Document delivery |
| Stakeholder engagement plan | Approved by leadership | Leadership sign-off |
Tier 2: Teacher Empowerment Program
Timeline: Months 2-8 Objective: Build a sustainable teacher training infrastructure using a cascading cohort model that creates exponential reach while maintaining quality.
Cohort 1: AI Champions Intensive (Months 2-4)
Participant Profile:
- 20 early adopter teachers across grade levels and subjects
- Selection criteria: Demonstrated technology comfort; Enthusiasm for innovation; Peer influence capacity
- Commitment: 40 hours over 8 weeks plus ongoing participation
Training Structure:
| Week | Focus Area | Hours | Activities | Deliverables |
|---|---|---|---|---|
| 1-2 | AI Fundamentals | 8 | Hands-on exploration of major AI platforms; Educational use case analysis; Prompt engineering basics | Personal AI tool proficiency assessment |
| 3-4 | Classroom Integration | 10 | Subject-specific AI integration strategies; Differentiation using AI; Student-facing AI tool evaluation | 3 AI-augmented lesson plans drafted |
| 5-6 | Ethics and Safety | 8 | Academic integrity in AI age; Student privacy considerations; Bias recognition and mitigation | Ethics discussion guide for students |
| 7-8 | Sandbox Application | 10 | Lesson plan refinement and peer review; Practice teaching with AI tools; Feedback and iteration | 5 fully developed AI-augmented lessons |
| 9+ | Ongoing | 4/month | Weekly "office hours" with Skafld support; Cohort collaboration sessions; Innovation sharing | Monthly innovation report |
Sandbox Environment Specifications:
| Component | Specification | Purpose |
|---|---|---|
| Practice Space | Dedicated classroom or lab time | Risk-free experimentation |
| Peer Observation | Structured observation protocols | Constructive feedback loops |
| AI Tool Access | Full platform access for exploration | Deep familiarity building |
| Support Hours | 2 hours/week Skafld availability | Real-time troubleshooting |
| Documentation | Lesson plan templates; Reflection journals | Knowledge capture |
Cohort 2: Train-the-Trainer Expansion (Months 5-7)
Participant Profile:
- 50 teachers (next wave adoption)
- Selection: Department representation; Grade level coverage; Interest expressed
- Commitment: 20 hours over 6 weeks
Training Model:
Skafld Studio Cohort 1 Champions Cohort 2 Teachers
| | |
+---> Training ---> | |
| Support | |
| +---> Peer Training ---> |
| | Mentorship |
| | |
+---> Quality --------> +---> Quality ----------> |
Assurance Assurance
| Component | Delivery | Content | Assessment |
|---|---|---|---|
| Core Training | Cohort 1 members lead sessions | Adapted from Cohort 1 curriculum | Competency checklists |
| Mentorship Pairing | 1 Champion : 2-3 Cohort 2 teachers | Ongoing support relationship | Mentor feedback forms |
| Practice Labs | Co-facilitated by Champion + Skafld | Hands-on application | Lesson plan review |
| Support Community | Slack/Teams channel for cohort | Peer troubleshooting | Engagement metrics |
Full Faculty Rollout (Months 5-12)
Requirement: 12-hour AI literacy certification for all teachers
Delivery Model:
| Format | Hours | Content | Timing |
|---|---|---|---|
| Asynchronous Modules | 6 | AI fundamentals; Tool overview; Ethics basics | Self-paced over 4 weeks |
| Synchronous Workshops | 4 | Hands-on practice; Q&A; Subject-specific discussion | 2 half-day sessions |
| Application Project | 2 | Create one AI-augmented lesson; Peer review | 2-week completion window |
Ongoing Support Infrastructure:
| Resource | Availability | Purpose |
|---|---|---|
| Office Hours | 2x weekly | Drop-in support with Champions |
| Resource Library | 24/7 online | Lesson plans, templates, tool guides |
| Innovation Showcases | Quarterly | Best practice sharing; Recognition |
| Troubleshooting Channel | Asynchronous | Rapid problem resolution |
Tier 2 Success Criteria
| Milestone | Target | Timeline | Measurement |
|---|---|---|---|
| Cohort 1 Completion | 20 teachers certified | Month 4 | Training completion records |
| Cohort 1 Lesson Implementation | 100 AI-augmented lessons delivered | Month 6 | Lesson documentation |
| Cohort 2 Completion | 50 teachers certified | Month 7 | Training completion records |
| Full Faculty Certification | 350+ teachers (100%) | Month 12 | Certification tracking |
| Sustained AI Integration | 80% of teachers using AI monthly | Month 12 | Usage surveys |
Tier 3: Student Transformation Program
Timeline: Months 3-18 Objective: Prepare students for AI-augmented careers through age-appropriate literacy, hands-on studio experience, and portfolio-based demonstration of capability.
Phase A: Foundation (All Students) - Months 3-12
Grade-Banded Learning Objectives:
| Grade Band | Focus Area | Key Competencies | Assessment Approach |
|---|---|---|---|
| K-2 | AI Awareness | What is AI?; AI in daily life; Human vs. machine tasks | Observation; Discussion participation |
| 3-5 | AI Literacy Basics | How AI learns; Bias introduction; Creative AI tools | Project-based; Portfolios begin |
| 6-8 | AI Tool Proficiency | Practical tool use; Ethics deep dive; Collaboration with AI | Skill demonstrations; Reflective writing |
| 9-12 | AI-Augmented Work | Disciplinary integration; Portfolio building; Workforce readiness | Portfolio review; Presentations |
Phase B: AI Studio Teams (Voluntary/Incentivized) - Months 4-18
Structure Specifications:
| Parameter | Specification |
|---|---|
| Team Size | 8-12 students per team |
| Grade Composition | Mixed grades 9-12 |
| Meeting Frequency | Weekly 90-minute sessions |
| Teacher Mentor | 1 per team (compensated) |
| Year 1 Pilot | 50 students (5 teams) |
| Year 2 Expansion | 250 students (25 teams) |
| Year 3 Full Scale | 500+ students |
Cross-Grade Mentorship Model:
12th Grade Students (Seniors)
|
+---> Mentor 10th Grade Students
|
11th Grade Students (Juniors)
|
+---> Mentor 9th Grade Students
| Role | Responsibilities | Benefits |
|---|---|---|
| Senior Mentor (12th) | Lead project segments; Coach 10th graders; Present at showcases | Leadership transcript notation; Employer recommendation eligibility |
| Junior Mentor (11th) | Support project work; Coach 9th graders; Document processes | Leadership development; Portfolio contribution |
| Sophomore (10th) | Active project contributor; Learn from senior mentor | Skill building; Team experience |
| Freshman (9th) | Foundation participant; Learn from junior mentor | Early exposure; Long-term development |
Gender Equity Component
Year 1 Implementation:
| Initiative | Specification | Rationale |
|---|---|---|
| Girls-Only Studio Teams | 2-3 teams designated female-only | Safe space for confidence building before mixed-team integration |
| Female Mentor Prioritization | Female teachers assigned to girls-only teams | Role model visibility; Reduced stereotype threat |
| Female Professional Mentors | Guest sessions from women in AI/tech careers | Career pathway visualization; Industry connection |
| Female Work Showcase | Prominent featuring of female student projects | Success visibility; Inspiration modeling |
Metrics Tracking:
| Metric | Target | Measurement |
|---|---|---|
| Female enrollment in Studio Teams | 50% | Registration data |
| Female AI tool usage frequency | Parity with male students | Usage analytics |
| Female confidence scores | Parity with male students | Pre/post surveys |
| Female project completion rates | Parity with male students | Project tracking |
Output Requirements
Semester Project Specifications:
| Component | Requirements | Rubric Weight |
|---|---|---|
| AI Augmentation | Clear demonstration of AI tool integration | 25% |
| Problem Relevance | Addresses real-world problem or opportunity | 20% |
| Technical Execution | Functional, polished deliverable | 20% |
| Narrative Reflection | Written analysis of process, learning, AI role | 20% |
| Presentation Quality | Clear communication to audience | 15% |
Portfolio Requirements:
| Element | Quantity | Format |
|---|---|---|
| Semester Projects | Minimum 2 per year | Digital documentation |
| Process Documentation | Per project | Written + visual |
| Reflection Essays | Per project | 500-1000 words |
| Skills Inventory | Updated quarterly | Standardized template |
| Peer/Mentor Feedback | Per project | Structured forms |
Public Exhibition:
| Exhibition Type | Frequency | Audience | Purpose |
|---|---|---|---|
| Classroom Showcase | Monthly | Peers + Teacher | Iterative feedback |
| School Exhibition | Semester-end | School community | Broader visibility |
| Community Exhibition | Annual | Parents + Community | Public recognition |
| Employer Pitch Day | Annual (optional) | Local employers | Workforce connection |
Tier 3 Success Criteria
| Milestone | Target | Timeline | Measurement |
|---|---|---|---|
| Studio Team Pilot Launch | 50 students enrolled | Month 4 | Enrollment records |
| Gender Parity Achievement | 50/50 split | Month 6 | Demographic analysis |
| First Portfolio Exhibitions | 100% of pilot students present | Month 8 | Exhibition participation |
| Employer Portfolio Reviews | 10+ employers participate | Month 10 | Employer engagement records |
| Year 1 Expansion | 100+ students in teams | Month 12 | Enrollment records |
| Employer Quality Score | Average 7/10 on portfolios | Month 12 | Employer assessment forms |
Deliverables Timeline Summary
Year 1 Quarterly Breakdown
Q1 (Months 1-3):
- Administrator briefing series complete
- Strategic planning workshops delivered
- Policy framework drafted
- Cohort 1 recruitment complete
- Cohort 1 training launched
Q2 (Months 4-6):
- Cohort 1 training complete
- Cohort 1 sandbox period active
- Cohort 2 training launched
- Student Studio Teams pilot launched
- Parent education sessions begin
Q3 (Months 7-9):
- Cohort 2 training complete
- Full faculty certification underway
- Studio Teams expand (100 students)
- Girls-only teams operational
- First student portfolio exhibitions
Q4 (Months 10-12):
- Full faculty certification complete
- Year 1 outcomes assessment
- Employer portfolio reviews
- Board progress presentation
- Year 2 planning finalized
Master Deliverables Checklist
| Deliverable | Owner | Due | Status |
|---|---|---|---|
| Executive Briefing Materials | Skafld | Month 1 | Pending |
| Strategic Planning Workshop Content | Skafld + SA | Month 1 | Pending |
| Policy Framework Documents | SA | Month 2 | Pending |
| Cohort 1 Training Curriculum | Skafld | Month 2 | Pending |
| AI Tool Evaluation Matrix | Skafld | Month 2 | Pending |
| Train-the-Trainer Guide | Skafld | Month 4 | Pending |
| Full Faculty Certification Modules | Skafld | Month 5 | Pending |
| K-12 Curriculum Framework | Skafld + SA | Month 3 | Pending |
| Studio Team Structure Guide | Skafld | Month 3 | Pending |
| Portfolio Assessment Rubrics | SA | Month 4 | Pending |
| Evaluation Framework | SA | Month 2 | Pending |
| Reporting Dashboard Specifications | SA | Month 3 | Pending |
| Year 1 Outcomes Report | SA + Skafld | Month 12 | Pending |
Success Criteria Summary
Program-Wide Success Indicators
| Indicator | Year 1 Target | Year 2 Target | Year 3 Target |
|---|---|---|---|
| Administrator Training Completion | 100% | N/A (maintenance) | N/A (maintenance) |
| Teacher AI Champion Certification | 50+ (15%) | 200+ (60%) | 350+ (100%) |
| Teachers Actively Integrating AI | 50% | 80% | 95% |
| Students in Studio Teams | 100+ | 250+ | 500+ |
| Gender Parity in Studio Teams | 50/50 | 50/50 | 50/50 |
| Employer Partners | 10+ | 20+ | 30+ |
| Portfolio Quality Score (Employer) | 7/10 avg | 8/10 avg | 8.5/10 avg |
| Student Career Readiness Improvement | Baseline established | 15% improvement | 25% improvement |
Quality Assurance Checkpoints
| Checkpoint | Timing | Criteria | Action if Not Met |
|---|---|---|---|
| Cohort 1 Competency | Month 4 | 90% pass assessment | Extend training; Individual remediation |
| Studio Team Engagement | Month 6 | 80% attendance rate | Structure adjustments; Student feedback review |
| Gender Parity | Month 6 | 45-55% female | Targeted recruitment; Program adjustment |
| Teacher Satisfaction | Month 8 | 4/5 average rating | Support enhancement; Workload review |
| Employer Validation | Month 10 | 3+ employers confirm value | Portfolio refinement; Employer collaboration increase |