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 Duration 14 hours

Course Outline

Artificial Intelligence in Education: Foundations and Applied Use Cases

  • An explanation of AI and generative AI in accessible terms, detailing capabilities and limitations within educational environments for government contexts.
  • Standard educator applications: instructional planning, resource development, instructional differentiation, assessment support, and stakeholder communication.
  • Establishing expectations: AI as a supporting tool for government operations, complementing professional judgment and institutional policy rather than replacing them.

Initiating AI Tool Integration in Institutional Settings

  • Selection of appropriate tools: web-based assistants and integrated AI features within standard administrative platforms.
  • Foundation for secure setup: account management, adherence to institutional guidance, and protocols for protecting sensitive information.
  • Immediate operational benefits: summarization, text refinement, example generation, and enhancement of clarity and professional tone.

Prompt Engineering Competencies for Educators

  • Techniques for precise instruction: defining role, task, context, constraints, format, and examples.
  • Standard prompt frameworks: ideation, drafting, critique, refinement, comparative analysis, and generation of variations.
  • Practical application: developing a reusable prompt library tailored to specific subjects, grade levels, and routine tasks.

Instructional Design and Resource Development Using AI

  • Drafting lesson structures aligned with learning intentions, success criteria, and curriculum standards.
  • Producing classroom-ready materials: explanations, worked examples, worksheets, presentation outlines, and discussion prompts.
  • Instructional differentiation: adjusting reading levels, incorporating scaffolding, providing enrichment opportunities, and suggesting multi-modal delivery options.

Assessment and Feedback Support

  • Generating question banks, formative assessments, and rubric descriptors aligned with educational standards and task requirements.
  • Drafting feedback comments and conferencing prompts while maintaining educator voice and professional accountability.
  • Practical application: creating an assessment support package for a current unit, including questions, rubric language, and feedback templates.

Quality Assurance: Accuracy, Bias, and Student Appropriateness

  • Identifying common errors: hallucinations, lack of context, uneven depth, and inappropriate reading levels.
  • Standard verification protocols: cross-checking facts, requesting source citations, and validating against trusted references.
  • Editing for inclusivity and accessibility: bias review, culturally responsive language, and adjustments for diverse learning needs.

Responsible Classroom Implementation and Strategic Planning

  • Privacy and security: managing student data, handling sensitive topics, and ensuring appropriate prompts and outputs for government compliance.
  • Academic integrity: guidelines for acceptable use, attribution expectations, and student-facing AI literacy initiatives.
  • Action plan: designing one AI-supported lesson or workflow, defining boundaries and routines, and planning stakeholder communication.

Requirements

  • Proficiency in using computers, web browsers, and standard institutional tools (Google Workspace or Microsoft 365).
  • Experience in planning lessons and creating learning resources for primary or secondary school students.
  • No programming experience required.

Audience

  • Primary school teachers across all subject areas.
  • Secondary school teachers across all subject areas.
  • Curriculum leads, learning support staff, and instructional coaches supporting classroom delivery.

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