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Course Outline
AI in Education: Foundations and Realistic Use Cases <\/p>
- AI and generative AI explained in plain English - what it can and cannot do in classroom contexts. <\/li>
- Common educator use cases: planning, resource creation, differentiation, assessment support, and communication. <\/li>
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Setting expectations: AI as a co-pilot, not a replacement for professional judgement or school policy.
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Getting Started with AI Tools in School Settings <\/p>
- Selecting appropriate tools: web-based assistants and built-in AI features in common platforms. <\/li>
- Safe setup basics: accounts, school guidance, and what information must not be shared. <\/li>
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Quick wins for teachers: summarising, rewording, generating examples, and improving clarity and tone.
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Prompting Skills for Teachers <\/p>
- How to ask for what you want: role, task, context, constraints, format, and examples. <\/li>
- Core prompt patterns: brainstorm, draft, critique, refine, compare options, and create variations. <\/li>
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Practice: build a reusable prompt bank for your subject, year levels, and common tasks.
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Lesson and Resource Design with AI <\/p>
- Drafting lesson outlines aligned to learning intentions, success criteria, and curriculum outcomes. <\/li>
- Creating classroom-ready materials: explanations, worked examples, worksheets, slide outlines, and discussion prompts. <\/li>
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Differentiation: adjust reading level, add scaffolds, provide extension, and suggest multi-modal options.
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Assessment and Feedback Support <\/p>
- Generating question banks, formative checks, and rubric descriptors aligned to standards and task requirements. <\/li>
- Drafting feedback comments and conferencing prompts while keeping teacher voice and professional responsibility. <\/li>
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Practice: create an assessment support pack for a current unit (questions, rubric language, and feedback stems).
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Quality Assurance: Accuracy, Bias, and Learner Fit <\/p>
- Spotting common issues: hallucinations, missing context, uneven depth, and inappropriate reading level. <\/li>
- Simple verification routines: cross-checking facts, requesting sources, and validating against trusted references. <\/li>
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Editing for inclusivity and accessibility: bias checks, culturally responsive language, and adjustments for diverse learners.
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Responsible Classroom Use and Implementation Planning <\/p>
- Privacy and safety: handling student data, sensitive topics, and appropriate prompts and outputs. <\/li>
- Academic integrity: acceptable use guidance, attribution expectations, and student-facing AI literacy activities. <\/li>
- Action plan: design one AI-supported lesson or workflow, define boundaries and routines, and plan stakeholder communication. <\/li> <\/ul>
Requirements
- Comfort using a computer, web browser, and common school tools (Google Workspace or Microsoft 365). <\/li>
- Experience planning lessons and creating learning resources for primary or high school learners. <\/li>
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No programming experience required.
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Audience <\/p>
- Primary School teachers across any subject area. <\/li>
- High School teachers across any subject area. <\/li>
- Curriculum leads, learning support staff, and instructional coaches supporting classroom delivery. <\/li> <\/ul>
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
