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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

ParameterSpecification
Project Duration18 months to full implementation
Year 1 Investment$350,000
Year 2 Investment$200,000
Ongoing Investment$150,000 annually
Primary PartnerSkafld Studio
Strategic PartnerStrategic 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

SessionTopicLearning ObjectivesDeliverables
1AI Economic TransformationUnderstand macro-level workforce disruption; Recognize urgency of the entry-level job crisisExecutive summary document; Key statistics brief
2AI in Education LandscapeSurvey current AI tools and their educational applications; Identify peer district initiativesAI tools matrix; Competitive analysis
3Equity ImplicationsAnalyze gender gap data; Understand socioeconomic access challengesEquity framework document
4Strategic PositioningDefine ESUSD's unique opportunity; Articulate vision and success metricsDraft 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 AreaCurrent State AssessmentRecommended FrameworkDeliverable
AI Acceptable UseExisting technology AUPAI-specific addendum addressing student/teacher useDraft policy document
Academic IntegrityTraditional plagiarism policyAI-assisted work guidelines with attribution standardsPolicy framework with implementation guide
Student PrivacyFERPA complianceAI tool vetting checklist; Data handling protocolsCompliance matrix
Equity AccessDevice lending program existsExtended access for AI-intensive programsAccess expansion plan

Stakeholder Engagement Strategy

Target Audiences and Messaging:

StakeholderPrimary ConcernMessaging ApproachEngagement Method
School BoardBudget, outcomes, riskROI-focused; Evidence-based; Risk mitigation emphasisBoard presentations; Regular briefings
Teachers UnionWorkload, job security, autonomyEmpowerment focus; Professional development value; Voluntary early adoptionUnion leadership meetings; Teacher champion recruitment
ParentsSafety, ethics, academic rigorStudent benefit emphasis; Ethics curriculum prominence; Career readinessInformation nights; Website updates; FAQ distribution
Local EmployersWorkforce pipeline, skills relevancePortfolio review participation; Hiring pathway inputPartnership meetings; Advisory board formation

Tier 1 Success Criteria

MetricTargetMeasurement Method
Administrator attendance100% of district leadershipAttendance tracking
Strategic vision approvalBoard adoptionBoard vote
Policy framework completionAll 4 policy areas addressedDocument delivery
Stakeholder engagement planApproved by leadershipLeadership 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:

WeekFocus AreaHoursActivitiesDeliverables
1-2AI Fundamentals8Hands-on exploration of major AI platforms; Educational use case analysis; Prompt engineering basicsPersonal AI tool proficiency assessment
3-4Classroom Integration10Subject-specific AI integration strategies; Differentiation using AI; Student-facing AI tool evaluation3 AI-augmented lesson plans drafted
5-6Ethics and Safety8Academic integrity in AI age; Student privacy considerations; Bias recognition and mitigationEthics discussion guide for students
7-8Sandbox Application10Lesson plan refinement and peer review; Practice teaching with AI tools; Feedback and iteration5 fully developed AI-augmented lessons
9+Ongoing4/monthWeekly "office hours" with Skafld support; Cohort collaboration sessions; Innovation sharingMonthly innovation report

Sandbox Environment Specifications:

ComponentSpecificationPurpose
Practice SpaceDedicated classroom or lab timeRisk-free experimentation
Peer ObservationStructured observation protocolsConstructive feedback loops
AI Tool AccessFull platform access for explorationDeep familiarity building
Support Hours2 hours/week Skafld availabilityReal-time troubleshooting
DocumentationLesson plan templates; Reflection journalsKnowledge 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
ComponentDeliveryContentAssessment
Core TrainingCohort 1 members lead sessionsAdapted from Cohort 1 curriculumCompetency checklists
Mentorship Pairing1 Champion : 2-3 Cohort 2 teachersOngoing support relationshipMentor feedback forms
Practice LabsCo-facilitated by Champion + SkafldHands-on applicationLesson plan review
Support CommunitySlack/Teams channel for cohortPeer troubleshootingEngagement metrics

Full Faculty Rollout (Months 5-12)

Requirement: 12-hour AI literacy certification for all teachers

Delivery Model:

FormatHoursContentTiming
Asynchronous Modules6AI fundamentals; Tool overview; Ethics basicsSelf-paced over 4 weeks
Synchronous Workshops4Hands-on practice; Q&A; Subject-specific discussion2 half-day sessions
Application Project2Create one AI-augmented lesson; Peer review2-week completion window

Ongoing Support Infrastructure:

ResourceAvailabilityPurpose
Office Hours2x weeklyDrop-in support with Champions
Resource Library24/7 onlineLesson plans, templates, tool guides
Innovation ShowcasesQuarterlyBest practice sharing; Recognition
Troubleshooting ChannelAsynchronousRapid problem resolution

Tier 2 Success Criteria

MilestoneTargetTimelineMeasurement
Cohort 1 Completion20 teachers certifiedMonth 4Training completion records
Cohort 1 Lesson Implementation100 AI-augmented lessons deliveredMonth 6Lesson documentation
Cohort 2 Completion50 teachers certifiedMonth 7Training completion records
Full Faculty Certification350+ teachers (100%)Month 12Certification tracking
Sustained AI Integration80% of teachers using AI monthlyMonth 12Usage 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 BandFocus AreaKey CompetenciesAssessment Approach
K-2AI AwarenessWhat is AI?; AI in daily life; Human vs. machine tasksObservation; Discussion participation
3-5AI Literacy BasicsHow AI learns; Bias introduction; Creative AI toolsProject-based; Portfolios begin
6-8AI Tool ProficiencyPractical tool use; Ethics deep dive; Collaboration with AISkill demonstrations; Reflective writing
9-12AI-Augmented WorkDisciplinary integration; Portfolio building; Workforce readinessPortfolio review; Presentations

Phase B: AI Studio Teams (Voluntary/Incentivized) - Months 4-18

Structure Specifications:

ParameterSpecification
Team Size8-12 students per team
Grade CompositionMixed grades 9-12
Meeting FrequencyWeekly 90-minute sessions
Teacher Mentor1 per team (compensated)
Year 1 Pilot50 students (5 teams)
Year 2 Expansion250 students (25 teams)
Year 3 Full Scale500+ students

Cross-Grade Mentorship Model:

12th Grade Students (Seniors)
|
+---> Mentor 10th Grade Students
|
11th Grade Students (Juniors)
|
+---> Mentor 9th Grade Students
RoleResponsibilitiesBenefits
Senior Mentor (12th)Lead project segments; Coach 10th graders; Present at showcasesLeadership transcript notation; Employer recommendation eligibility
Junior Mentor (11th)Support project work; Coach 9th graders; Document processesLeadership development; Portfolio contribution
Sophomore (10th)Active project contributor; Learn from senior mentorSkill building; Team experience
Freshman (9th)Foundation participant; Learn from junior mentorEarly exposure; Long-term development

Gender Equity Component

Year 1 Implementation:

InitiativeSpecificationRationale
Girls-Only Studio Teams2-3 teams designated female-onlySafe space for confidence building before mixed-team integration
Female Mentor PrioritizationFemale teachers assigned to girls-only teamsRole model visibility; Reduced stereotype threat
Female Professional MentorsGuest sessions from women in AI/tech careersCareer pathway visualization; Industry connection
Female Work ShowcaseProminent featuring of female student projectsSuccess visibility; Inspiration modeling

Metrics Tracking:

MetricTargetMeasurement
Female enrollment in Studio Teams50%Registration data
Female AI tool usage frequencyParity with male studentsUsage analytics
Female confidence scoresParity with male studentsPre/post surveys
Female project completion ratesParity with male studentsProject tracking

Output Requirements

Semester Project Specifications:

ComponentRequirementsRubric Weight
AI AugmentationClear demonstration of AI tool integration25%
Problem RelevanceAddresses real-world problem or opportunity20%
Technical ExecutionFunctional, polished deliverable20%
Narrative ReflectionWritten analysis of process, learning, AI role20%
Presentation QualityClear communication to audience15%

Portfolio Requirements:

ElementQuantityFormat
Semester ProjectsMinimum 2 per yearDigital documentation
Process DocumentationPer projectWritten + visual
Reflection EssaysPer project500-1000 words
Skills InventoryUpdated quarterlyStandardized template
Peer/Mentor FeedbackPer projectStructured forms

Public Exhibition:

Exhibition TypeFrequencyAudiencePurpose
Classroom ShowcaseMonthlyPeers + TeacherIterative feedback
School ExhibitionSemester-endSchool communityBroader visibility
Community ExhibitionAnnualParents + CommunityPublic recognition
Employer Pitch DayAnnual (optional)Local employersWorkforce connection

Tier 3 Success Criteria

MilestoneTargetTimelineMeasurement
Studio Team Pilot Launch50 students enrolledMonth 4Enrollment records
Gender Parity Achievement50/50 splitMonth 6Demographic analysis
First Portfolio Exhibitions100% of pilot students presentMonth 8Exhibition participation
Employer Portfolio Reviews10+ employers participateMonth 10Employer engagement records
Year 1 Expansion100+ students in teamsMonth 12Enrollment records
Employer Quality ScoreAverage 7/10 on portfoliosMonth 12Employer 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

DeliverableOwnerDueStatus
Executive Briefing MaterialsSkafldMonth 1Pending
Strategic Planning Workshop ContentSkafld + SAMonth 1Pending
Policy Framework DocumentsSAMonth 2Pending
Cohort 1 Training CurriculumSkafldMonth 2Pending
AI Tool Evaluation MatrixSkafldMonth 2Pending
Train-the-Trainer GuideSkafldMonth 4Pending
Full Faculty Certification ModulesSkafldMonth 5Pending
K-12 Curriculum FrameworkSkafld + SAMonth 3Pending
Studio Team Structure GuideSkafldMonth 3Pending
Portfolio Assessment RubricsSAMonth 4Pending
Evaluation FrameworkSAMonth 2Pending
Reporting Dashboard SpecificationsSAMonth 3Pending
Year 1 Outcomes ReportSA + SkafldMonth 12Pending

Success Criteria Summary

Program-Wide Success Indicators

IndicatorYear 1 TargetYear 2 TargetYear 3 Target
Administrator Training Completion100%N/A (maintenance)N/A (maintenance)
Teacher AI Champion Certification50+ (15%)200+ (60%)350+ (100%)
Teachers Actively Integrating AI50%80%95%
Students in Studio Teams100+250+500+
Gender Parity in Studio Teams50/5050/5050/50
Employer Partners10+20+30+
Portfolio Quality Score (Employer)7/10 avg8/10 avg8.5/10 avg
Student Career Readiness ImprovementBaseline established15% improvement25% improvement

Quality Assurance Checkpoints

CheckpointTimingCriteriaAction if Not Met
Cohort 1 CompetencyMonth 490% pass assessmentExtend training; Individual remediation
Studio Team EngagementMonth 680% attendance rateStructure adjustments; Student feedback review
Gender ParityMonth 645-55% femaleTargeted recruitment; Program adjustment
Teacher SatisfactionMonth 84/5 average ratingSupport enhancement; Workload review
Employer ValidationMonth 103+ employers confirm valuePortfolio refinement; Employer collaboration increase