SHE IS AI: Core Educational Framework

Executive Overview

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The SHE IS AI Core Educational Framework represents a revolutionary approach to artificial intelligence education, designed specifically to empower women and allies across all educational levels from elementary school through corporate training.

7

Educational Levels

5

Core AI Concepts

6

Facilitator Competencies

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Bias-Free Design

Framework Mission

This comprehensive framework addresses the critical need for inclusive, bias-free AI education that produces tangible career outcomes while maintaining the highest standards of educational excellence. At its foundation, this framework recognizes that traditional educational approaches have systematically excluded women and underrepresented groups from technology fields.

Key Innovations

Universal Lesson Structure

Standardized 7-component format that adapts to all educational levels while maintaining consistency and quality.

Portfolio-Based Assessment

Replaces traditional testing with authentic, career-relevant portfolio development that creates tangible value.

Systematic Bias Elimination

Built-in bias recognition and mitigation at every level, from content creation to community building.

Career-Connected Learning

Every element explicitly connected to career opportunities and professional development pathways.

Framework Philosophy and Principles

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Core Educational Philosophy

The SHE IS AI educational philosophy is grounded in the belief that artificial intelligence education must be fundamentally reimagined to address the systemic barriers that have historically excluded women and underrepresented groups from technology fields.

Foundational Principles

1. Universal Accessibility

Every component is designed to be accessible regardless of prior technical experience, economic background, or geographic location.

2. Bias-Free by Design

Framework constructed with explicit goal of eliminating bias at every level, from content creation to assessment methods.

3. Portfolio-Driven Learning

Assessment through authentic applications that create valuable assets for career advancement.

4. Community-Centered Learning

Building strong learning communities that provide ongoing support and professional networking.

5. Career-Connected Education

Every element explicitly connected to career opportunities and professional development.

Pedagogical Approach

The framework employs a constructivist pedagogical approach that recognizes learners as active creators of knowledge rather than passive recipients of information. This approach is particularly effective for AI education because it mirrors the problem-solving and creative thinking skills essential in technology fields.

Learning Theory Integration

The framework integrates multiple learning theories including social learning theory, experiential learning theory, adult learning theory (andragogy), and developmental learning theory to create a comprehensive approach addressing diverse learner needs across all educational levels.

Universal Lesson Structure Template

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Template Overview

Every SHE IS AI lesson follows the same basic structure with seven essential components. This consistency allows learners to develop familiarity with the learning process while enabling facilitators to deliver high-quality instruction across diverse contexts.

1. Opening Hook (5 min)

Community building and intention setting that reinforces SHE IS AI values and creates belonging.

2. Learning Objectives (3 min)

Clear, specific goals connected to broader career and life relevance for each educational level.

3. Core Content Delivery (Variable)

Multi-modal content delivery adapted for different developmental stages and learning preferences.

4. Hands-On Practice (30% of time)

Immediate application of new knowledge through authentic, engaging activities.

5. Project Work Time (15+ min sessions)

Portfolio development through meaningful projects that demonstrate learning and build career assets.

6. Reflection & Action Planning (10 min)

Consolidation of learning and explicit connection to personal and professional goals.

7. Closing/Commitment (2 min)

Community reinforcement and clear next steps for continued learning and engagement.

Level-Specific Adaptations

Elementary

Secondary

College

Professional

Corporate

Elementary Level (Ages 5-11)

Opening Ritual: Interactive circle time with movement, music, and affirmations. Students share names and learning excitement, followed by the "SHE IS AI Pledge" and simple movement activities.

Content Delivery: 15-30 minutes of storytelling, games, and hands-on exploration. Complex AI concepts introduced through age-appropriate analogies and interactive activities.

Assessment Focus: Engagement, creativity, effort, and basic concept understanding rather than technical sophistication.

Secondary Level (Ages 12-18)

Opening Ritual: Check-in with mood and energy assessment, reflection on SHE IS AI mission, sharing of inspiring women in AI, and specific learning goal setting.

Content Delivery: 30-45 minutes balancing conceptual understanding with practical application through project-based activities connected to interests and future goals.

Assessment Focus: Critical thinking, technical competency, communication effectiveness, and career preparation.

College Level (Ages 18-22)

Opening Ritual: Professional networking activity, industry engagement sharing, "spotlight" moments for peer learning, and professional development goal articulation.

Content Delivery: 45-90 minutes focusing on professional-grade tools and industry-standard practices with expert guidance and mentorship.

Assessment Focus: Professional competency, industry readiness, technical proficiency, and ability to contribute meaningfully to AI organizations.

Professional Level (Workforce Entry & Career Transition)

Opening Ritual: Professional check-in with job search activities, success story sharing, and specific actionable goal identification for career objectives.

Content Delivery: 60-120 minutes focused on immediate applicability and workplace implementation with real-world case studies and scenarios.

Assessment Focus: Workplace applicability, professional impact, and ability to create immediate value for employers.

Corporate Level

Opening Ritual: Organizational AI implementation progress updates, alignment with organizational values and diversity goals, collective and individual goal setting.

Content Delivery: Customizable duration focusing on organizational goals and team alignment while maintaining individual empowerment focus.

Assessment Focus: Organizational applicability, strategic thinking, and ability to drive meaningful change within organizations.

Content Progression Framework

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Core AI Concepts Taught at Every Level

Five fundamental AI concepts form the foundation of all SHE IS AI educational experiences, adapted appropriately for different developmental stages and educational contexts.

1. AI in Context

How AI shapes this field/topic? (e.g., tools, workflows, industry examples)

2. Ethics & Responsible AI Use

Designing safe, fair, and trustworthy AI experiences.

3. Bias Recognition & Equity in AI

Spotting bias and designing equitable AI systems.

4. AI Skills for the Future

The AI-related skills learners will develop for career readiness.

5. Women’s Role in Shaping AI

Highlighting contributions and leadership of women in AI.

Level-Specific Content Specifications

Primary Level (Ages 5-11): Foundation Building

Focus: Building positive associations with AI and technology while developing foundational concepts through play, creativity, and exploration.

Duration: 30-60 minute sessions once or twice per week over 8-12 weeks

Portfolio: Digital stories, simple presentations, creative projects demonstrating basic AI understanding

Secondary Level (Ages 12-18): Exploration and Preparation

Focus: Deeper exploration of AI concepts while explicitly connecting learning to college preparation and career exploration.

Duration: 45-90 minute sessions once or twice per week over 12-16 weeks

Portfolio: Research presentations, functional applications, analysis projects, advocacy materials

College Level (Ages 18-22): Professional Preparation

Focus: Developing professional-level competencies while building industry connections and preparing for immediate career entry.

Duration: 2-3 hour sessions once or twice per week over 12-16 weeks

Portfolio: Professional-grade case studies, functional prototypes, research projects, professional development materials

Workforce Entry: Job-Ready Competencies

Focus: Developing immediately applicable skills while providing intensive support for job search and career launch activities.

Duration: Intensive 3-4 hour sessions 2-3 times per week over 8-12 weeks

Portfolio: Professional websites, comprehensive project portfolios, industry-specific case studies

Career Transition/Reskilling: Rapid Skill Acquisition

Focus: Helping experienced professionals rapidly acquire AI competencies while leveraging existing expertise.

Duration: Intensive 2-3 hour sessions 2-3 times per week over 6-10 weeks

Portfolio: Industry-specific implementation plans, training materials, career transition documentation

Corporate Training: Organizational AI Implementation

Focus: Helping teams and organizations implement AI effectively while building internal capacity for AI adoption.

Duration: Highly customizable from half-day workshops to multi-week intensive programs

Portfolio: AI implementation plans, training materials, governance frameworks, business cases

Instructional Methods Framework

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Five Primary Teaching Approaches

The framework employs five primary teaching approaches that are adapted and combined differently across educational levels to create engaging, effective learning experiences.

Visual Learning Integration

Colorful graphics, animations, interactive media, data visualizations, and professional-quality infographics adapted for each educational level.

Hands-On Learning Implementation

Exploration and creativity through simple AI tools progressing to professional-grade applications and workplace implementation.

Collaborative Learning Structures

Building social skills and community while exploring AI concepts together, progressing to professional network building.

Problem-Based Learning Applications

Real-world challenges from age-appropriate community problems to complex industry-relevant challenges.

Portfolio-Based Assessment Integration

Continuous building of tangible evidence of skills and knowledge for academic and career advancement.

Delivery Method Specifications

Small Group Interactive Workshops (8-15 participants)

Ideal delivery method providing individual attention, peer interaction, and collaborative learning with manageable group dynamics.

Large Group Presentations (30-100 participants)

Expert instruction and shared experience with interactive elements, audience response systems, and breakout activities.

Virtual/Online Delivery

High-quality online experiences with specialized engagement strategies, comprehensive technology support, and virtual community building.

Hybrid Delivery Models

Combining in-person and virtual elements with synchronous and asynchronous components for maximum accessibility.

Self-Paced Learning with Mentorship

Structured learning pathways with mentorship integration and community connection opportunities for flexible scheduling.

Technology Requirements and Alternatives

Accessibility Commitment

The framework is designed to be accessible regardless of technology constraints while taking advantage of available technology to enhance learning experiences. All activities include low-tech and no-tech alternatives that achieve the same learning objectives.

Assessment and Portfolio Framework

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Universal Assessment Principles

The SHE IS AI assessment approach replaces standardized testing with authentic, portfolio-based evaluation that creates tangible value for learners while providing meaningful measures of competence and growth.

Authentic Application Over Abstract Testing

Demonstrate knowledge through real-world applications rather than artificial testing situations.

Portfolio Development as Learning Process

Integrated throughout learning rather than separate assessment activity, building professional skills.

Peer Evaluation and Collaborative Assessment

Structured peer review processes that build critical thinking skills and community support.

Self-Reflection and Goal Setting Integration

Metacognitive skill development through regular reflection and goal-setting activities.

Multiple Demonstration Pathways

Different ways to demonstrate competence while maintaining consistent standards and expectations.

Portfolio Requirements by Educational Level

Elementary

Secondary

College

Professional

Elementary Level Portfolio

Focus: Creativity, basic concept demonstration, and building positive associations with AI and technology.

Digital stories and presentations about AI in daily life
Creative AI projects using AI-powered tools
Problem-solving documentation
Reflection journals

Assessment Criteria: Engagement, creativity, effort, and basic concept understanding.

Secondary Level Portfolio

Focus: More sophisticated and career-focused while maintaining creativity and personal relevance.

Research and analysis projects on AI topics
Functional AI applications using no-code platforms
Advocacy and communication projects
Career exploration documentation

Assessment Criteria: Critical thinking, technical competency, communication effectiveness, and career preparation.

College Level Portfolio

Focus: Professional readiness and industry preparation suitable for job applications and professional networking.

Professional project portfolio with comprehensive demonstrations
Technical competency demonstrations
Professional communication materials
Industry engagement documentation

Assessment Criteria: Professional competency, industry readiness, technical proficiency, and contribution ability.

Professional Level Portfolio

Focus: Immediate career application demonstrating value to current or potential employers.

Workplace implementation projects
Thought leadership materials
Professional development documentation
Mentorship and leadership evidence

Assessment Criteria: Workplace applicability, professional impact, leadership potential, and change-driving ability.

Assessment Rubrics and Standards

Universal Assessment Dimensions

All assessment rubrics include five universal dimensions: Conceptual Understanding, Technical Competency, Critical Thinking and Analysis, Communication and Presentation, and Professional Development and Growth.

Bias Elimination Integration

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Systematic Approach to Bias Elimination

Rather than treating bias as a separate topic, this framework integrates bias recognition and mitigation into every aspect of the educational experience, from content development through assessment and community building.

Content-Level Bias Elimination

Systematic bias elimination protocols ensuring diverse representation, inclusive language, and equitable treatment of different perspectives.

Instructional Design Bias Elimination

Learning activities, assessment methods, and support systems designed to counteract historical exclusion of women and underrepresented groups.

Community and Culture Bias Elimination

Learning communities that actively promote inclusion and equity while providing safe spaces for exploration and development.

Built-in Bias Recognition and Mitigation

All learners develop skills in recognizing different types of bias and practical strategies for mitigation in their own work and in AI systems they encounter.

Progressive Skill Development

Elementary: Simple, concrete examples of fairness and inclusion
Secondary: Case studies of biased AI systems and critical evaluation skills
College: Comprehensive frameworks for bias analysis and technical mitigation approaches
Professional: Implementation of bias mitigation strategies within organizations

Assessment of Bias Elimination Effectiveness

Regular Content Audits

Diverse review panels conducting systematic bias audits with structured protocols and actionable feedback.

Participant Feedback Analysis

Systematic analysis of learner feedback for bias indicators and differential experiences among demographic groups.

Outcome Equity Analysis

Comprehensive analysis of learner outcomes across demographic groups to ensure equitable program effectiveness.

Continuous Improvement Protocols

Regular review and update cycles incorporating new research, community feedback, and evolving best practices.

Facilitator Training Requirements

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Core Competencies for All SHE IS AI Instructors

All facilitators must demonstrate mastery of six core competency areas essential for effective implementation of the educational framework.

Universal Lesson Structure Mastery

Complete mastery of the 7-component template with ability to adapt for different educational levels while maintaining essential elements.

Age-Appropriate Teaching Adaptations

Sophisticated understanding of developmental differences and ability to adapt content, activities, and communication styles appropriately.

Bias Recognition and Elimination Techniques

Comprehensive understanding of bias in educational settings and practical skills in creating inclusive, equitable learning environments.

Technology Platform Proficiency

Proficiency with all technology platforms and tools, including troubleshooting and accessibility considerations.

SHE IS AI Mission and Values Integration

Deep understanding of organizational mission and ability to integrate values consistently throughout educational experiences.

Portfolio Assessment and Feedback Skills

Expertise in portfolio-based assessment, meaningful feedback provision, and learner guidance in portfolio development.

Certification Requirements and Processes

Comprehensive Certification Process

Initial Training: Intensive workshops, hands-on practice, bias elimination training, technology training, and assessment skill development

Assessment: Written examinations, practical teaching demonstrations, portfolio assessment exercises, and comprehensive interviews

Ongoing Development: Annual recertification, peer learning communities, content development contribution, and research participation

Specialized Training Tracks

Elementary Education Specialists

Child development, age-appropriate activities, classroom management, and family/school collaboration.

Secondary Education Specialists

Adolescent development, college/career preparation, diverse academic backgrounds, and youth organization partnerships.

Adult Learning Specialists

Andragogy principles, career transition support, diverse professional backgrounds, and workplace contexts.

Corporate Training Specialists

Organizational development, change management, business communication, and corporate culture understanding.

Office Hours and Support Framework

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Universal Office Hours Structure

All SHE IS AI programs include regular office hours providing ongoing support and guidance throughout learners' journeys and beyond.

Scheduled Group Sessions

Regularly scheduled sessions open to all participants for peer learning, collaborative problem-solving, and community building.

Individual Consultation Availability

Personalized guidance and support through individual consultations addressing specific challenges and goals.

Support Specialization Areas

Technical Troubleshooting and Skill Development

Help with AI tools and platforms, building technical confidence and competence through educational problem-solving.

Career Counseling and Pathway Planning

Career exploration, development planning, resume/portfolio development, interview preparation, and networking guidance.

Project Development and Portfolio Assistance

High-quality portfolio piece development through planning, implementation guidance, feedback, and presentation preparation.

Peer Connection and Community Building

Building connections with peers, mentors, and professionals while developing networking and relationship-building skills.

Quality Assurance Standards

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Consistency Monitoring Systems

Comprehensive systems ensuring all SHE IS AI educational experiences meet high standards for effectiveness, inclusivity, and mission alignment across diverse contexts.

Standardized Lesson Observation Protocols

Regular observation using standardized protocols assessing framework adherence, teaching effectiveness, and learner engagement.

Participant Feedback Collection and Analysis

Comprehensive feedback systems collecting regular input about experiences, satisfaction, and outcomes for continuous improvement.

Success Metrics and Accountability

Portfolio Quality Assessment

Standardized rubrics and review processes ensuring consistent standards while recognizing diverse pathways to excellence.

Career Advancement Tracking

Long-term tracking of learner career advancement including job placement, salary improvement, and leadership development.

Implementation Guidelines

Startup and Launch Procedures

Community Assessment: Comprehensive needs assessment, resource mapping, and stakeholder engagement

Facilitator Recruitment: Systematic identification of skilled, committed individuals with diverse, representative teams

Cultural Adaptation: Local context adaptation while maintaining core principles and standards

Resource Optimization: Creative approaches to maximizing impact with available resources while ensuring sustainability

SHE IS AI

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