Education AI & Learning Technologies Facilitator Certification Framework

Education AI & Learning Technologies

Facilitator Certification Framework

🎓

Learning Outcomes & AI Competencies

Learners who complete this certification will be able to:

  • 🚀Implement AI in Educational Settings: Effectively integrate AI-driven educational software and personalized learning platforms.
  • 🛡️Manage AI Learning Tools Responsibly: Uphold academic integrity and ethical standards with generative AI.
  • 📊Conduct Data Analytics for Personalized Learning: Utilize AI-driven analytics to evaluate student performance and tailor strategies.
  • 🎨Design AI-Enhanced Instructional Resources: Leverage AI tools to generate and adapt educational content.
  • ⚖️Apply AI Ethics in Education: Recognize and mitigate privacy concerns, biases, and ethical issues.
  • 👩‍🏫Support Educators with AI Tools: Guide and train teachers on best practices for AI integration.
🛠️

Tools, Platforms & Software Mastery

Students will become proficient in a variety of AI-powered educational technologies:

Adaptive Learning Platforms:

  • Khan Academy (Khanmigo)
  • DreamBox
  • Smart Sparrow

AI-Enhanced LMS:

  • Canvas with AI features
  • Blackboard with AI features
  • Moodle with AI features

Generative AI Tools:

  • GPT-4, ChatGPT
  • AI-driven content creation software

Educational Analytics Tools:

  • Tableau
  • Power BI
  • Educational data mining software

Instructional Design Software:

  • Adobe Captivate
  • Articulate Storyline
  • AI-powered instructional design tools

Data Privacy Tools:

  • Compliance management systems (FERPA)
📚

Course Structure & Instructional Sequence

The certification is structured into the following modules. Click each module to see details:

Overview of AI applications, ethical considerations, and relevance to education and training.

Practical implementation of AI-driven personalized learning platforms.

Analyzing student performance data to personalize learning outcomes.

Using AI tools for lesson planning, resource creation, and instructional design enhancement.

Ensuring compliance, student data privacy, and fairness in AI use.

Development of an AI-based educational tool or system, demonstrated with documentation and ethical considerations.

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Assessments, Micro-Credentials & Capstones

AI Integration Challenges:

Practical tasks implementing adaptive learning or generative AI in instructional settings.

Micro-Credentials:

  • "Adaptive Learning Facilitator"
  • "AI Instructional Designer"
  • "Ethical AI Advocate in Education"

Capstone Project Examples:

  • Personalized AI tutoring chatbot for K-12 math education.
  • Automated quiz grading system providing immediate, personalized student feedback.
🔗

Crosswalk to Florida CTE & Certifications

CTE Course Alignment:

Directly supports Education & Training clusters, complements Instructional Technology pathways.

Industry Certification Alignment:

  • ISTE Certified Educator
  • Google Certified Trainer
  • Microsoft Certified Educator
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Target Learner Levels

  • 🧑‍🎓High School: Suitable for grades 11-12 students interested in education technology and instructional support.
  • 👨‍💼Adult Technical Centers: Ideal for educators and workforce trainers seeking professional development.
  • 🏛️State Colleges: Embedded within A.S. programs in Instructional Design Technology or Educator Preparation Institutes.
🧱

Stackability & Articulation Pathways

  • High School to College Credit: Eligible for articulation into associate degrees focused on instructional technology or educator preparation.
  • College Credentials: Stackable CCC leading to A.S. degrees in Instructional Design, Educational Technology, or Information Technology.
  • Higher Education Transferability: Credits transferable to B.S. in Career and Technical Education or B.S. in Information Technology with instructional technology concentration.
🤝

Industry Partnerships & Alignment

Employer Advisory Board: Comprises educational institutions, instructional design companies, and educational software developers.
Collaborations: Partnerships with AI education platforms (Khan Academy, Canvas), generative AI providers, and instructional technology firms.
Community Education Projects: Students involved in developing AI-powered educational resources for local schools and community training programs.
Internships and Practical Learning: Opportunities with local educational institutions, EdTech startups, and corporate training departments.
Industry-Driven Educational AI Challenges: Sponsored projects and competitions focused on innovating AI applications in education and training.

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