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Course Outline

Artificial Intelligence in Education: Foundations and Practical Applications for Government

  • A clear explanation of artificial intelligence (AI) and generative AI, detailing their capabilities and limitations within classroom settings.
  • Common applications by educators: lesson planning, resource creation, differentiated instruction, assessment support, and communication.
  • Setting realistic expectations: AI as a supportive tool, not a substitute for professional judgment or school policy.

Implementing AI Tools in Educational Environments

  • Selecting suitable tools: web-based assistants and built-in AI features in commonly used educational platforms.
  • Basic setup for safety: managing accounts, adhering to school guidelines, and ensuring that sensitive information is not shared.
  • Immediate benefits for teachers: summarizing content, rephrasing text, generating examples, and enhancing clarity and tone.

Developing Prompting Skills for Educators

  • Techniques for effective prompting: specifying role, task, context, constraints, format, and providing examples.
  • Essential prompt patterns: brainstorming, drafting, critiquing, refining, comparing options, and creating variations.
  • Practice exercises: developing a reusable bank of prompts tailored to specific subjects, grade levels, and common tasks.

Designing Lessons and Resources with AI

  • Crafting lesson outlines aligned with learning objectives, success criteria, and curriculum standards.
  • Creating classroom-ready materials: explanations, worked examples, worksheets, slide presentations, and discussion prompts.
  • Differentiation strategies: adjusting reading levels, adding scaffolds, providing extensions, and offering multi-modal options.

Supporting Assessment and Feedback

  • Generating question banks, formative assessments, and rubric descriptors aligned with educational standards and task requirements.
  • Drafting feedback comments and conferencing prompts while maintaining the teacher's voice and professional responsibility.
  • Practical application: developing an assessment support package for a current unit (questions, rubric language, and feedback stems).

Ensuring Quality: Accuracy, Bias, and Learner Fit

  • Identifying common issues: inaccuracies, missing context, uneven depth, and inappropriate reading levels.
  • Verification routines: cross-checking facts, requesting sources, and validating content against trusted references.
  • Editing for inclusivity and accessibility: conducting bias checks, using culturally responsive language, and making adjustments for diverse learners.

Responsible Classroom Use and Implementation Planning

  • Privacy and safety considerations: managing student data, addressing sensitive topics, and ensuring appropriate prompts and outputs.
  • Academic integrity: establishing acceptable use policies, setting attribution expectations, and integrating AI literacy activities for students.
  • Action plan development: designing an AI-supported lesson or workflow, defining boundaries and routines, and planning communication with stakeholders.

Requirements

  • Proficiency with computer systems, web browsers, and common educational tools (such as Google Workspace or Microsoft 365).
  • Experience in designing lesson plans and developing educational resources for elementary or secondary school students.
  • No prior programming experience is necessary.

Audience

  • Elementary school teachers from all subject areas.
  • Secondary school teachers from all subject areas.
  • Curriculum leaders, learning support staff, and instructional coaches who assist in classroom instruction for government educational initiatives.
 14 Hours

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