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Course Outline
AI in Education: Foundations and Realistic Use Cases
- AI and generative AI explained in plain language - what it can and cannot do in classroom contexts.
- Common educator use cases: planning, resource creation, differentiation, assessment support, and communication.
- Setting expectations: AI as a co-pilot, not a replacement for professional judgment or school policy.
Getting Started with AI Tools in School Settings
- Selecting appropriate tools: web-based assistants and built-in AI features in common platforms.
- Safe setup basics: accounts, school guidelines, and information that must not be shared.
- Quick wins for teachers: summarizing, rewording, generating examples, and improving clarity and tone.
Prompting Skills for Teachers
- How to ask for what you want: role, task, context, constraints, format, and examples.
- Core prompt patterns: brainstorm, draft, critique, refine, compare options, and create variations.
- Practice: build a reusable prompt bank for 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: adjust reading level, add scaffolds, provide extension, and suggest 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 conferencing prompts while maintaining teacher voice and professional responsibility.
- Practice: create an assessment support pack for a current unit (questions, rubric language, and feedback stems).
Quality Assurance: Accuracy, Bias, and Learner Fit
- Spotting common issues: hallucinations, missing context, uneven depth, and inappropriate reading level.
- Simple verification routines: cross-checking facts, requesting sources, and validating against trusted references.
- Editing for inclusivity and accessibility: bias checks, culturally responsive language, and adjustments for diverse learners.
Responsible Classroom Use and Implementation Planning
- Privacy and safety: handling student data, sensitive topics, and appropriate prompts and outputs.
- Academic integrity: acceptable use guidance, attribution expectations, and student-facing AI literacy activities.
- Action plan: design one AI-supported lesson or workflow, define boundaries and routines, and plan stakeholder communication.
Requirements
- Comfort with using a computer, web browser, and standard school tools (such as Google Workspace or Microsoft 365).
- Experience in planning lessons and creating learning resources for primary or high school students.
- No programming experience is required.
Audience
- Primary School teachers from any subject area.
- High School teachers from any subject area.
- Curriculum leads, 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)
