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Course Outline
AI in Education: Foundations and Realistic Use Cases
- Explanation of AI and generative AI in plain English - understanding what it can and cannot do in educational contexts.
- Common educator use cases: lesson planning, resource creation, differentiation, assessment support, and communication.
- Managing expectations: viewing AI as a co-pilot rather than a substitute for professional judgement or school policy.
Getting Started with AI Tools in School Settings
- Selecting appropriate tools: web-based assistants and built-in AI features within common platforms.
- Basic safe setup: managing accounts, adhering to school guidelines, and identifying information that must not be shared.
- Quick wins for teachers: summarising content, rephrasing, generating examples, and improving clarity and tone.
Prompting Skills for Teachers
- How to request exactly what you need: defining role, task, context, constraints, format, and providing examples.
- Core prompt patterns: brainstorming, drafting, critiquing, refining, comparing options, and creating variations.
- Practice: developing a reusable prompt bank tailored to your subject, year levels, and common tasks.
Lesson and Resource Design with AI
- Drafting lesson outlines aligned with learning intentions, success criteria, and curriculum outcomes.
- Creating classroom-ready materials: explanations, worked examples, worksheets, slide outlines, and discussion prompts.
- Differentiation strategies: adjusting reading levels, adding scaffolds, providing extension activities, and suggesting multi-modal options.
Assessment and Feedback Support
- Generating question banks, formative checks, and rubric descriptors aligned with standards and task requirements.
- Drafting feedback comments and conference prompts while maintaining teacher voice and professional responsibility.
- Practice: creating an assessment support pack for a current unit, including questions, rubric language, and feedback stems.
Quality Assurance: Accuracy, Bias, and Learner Fit
- Identifying common issues: hallucinations, missing context, uneven depth, and inappropriate reading levels.
- Simple verification routines: cross-checking facts, requesting sources, and validating against trusted references.
- Editing for inclusivity and accessibility: performing bias checks, using culturally responsive language, and making adjustments for diverse learners.
Responsible Classroom Use and Implementation Planning
- Privacy and safety: managing student data, sensitive topics, and ensuring appropriate prompts and outputs.
- Academic integrity: providing acceptable use guidance, setting attribution expectations, and implementing student-facing AI literacy activities.
- Action plan: designing one AI-supported lesson or workflow, defining boundaries and routines, and planning communication with stakeholders.
Requirements
- Proficiency in using a computer, web browser, and standard school tools (such as Google Workspace or Microsoft 365).
- Experience in lesson planning and developing learning resources for primary or high school students.
- No prior programming experience is required.
Audience
- Primary School teachers across all subject disciplines.
- High School teachers across all subject disciplines.
- Curriculum coordinators, learning support staff, and instructional coaches involved in classroom delivery.
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)
