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Course Outline
Artificial Intelligence in Education: Foundations and Practical Applications
- Explanation of AI and generative AI in straightforward terms—understanding its capabilities and limitations in classroom settings.
- Common use cases for educators: planning, resource creation, differentiation, assessment support, and communication.
- Setting realistic expectations: viewing AI as a co-pilot rather than a substitute for professional judgment or school policy.
Getting Started with AI Tools in Educational Settings
- Choosing suitable tools: web-based assistants and integrated AI features within common platforms.
- Basics of secure setup: managing accounts, adhering to school guidelines, and identifying information that must not be shared.
- Quick wins for teachers: summarizing, rephrasing, generating examples, and enhancing clarity and tone.
Prompting Skills for Teachers
- How to request exactly what you need: specifying role, task, context, constraints, format, and examples.
- Essential prompt patterns: brainstorming, drafting, critiquing, refining, comparing options, and creating variations.
- Practice: building a reusable prompt library tailored to your subject, year levels, and common tasks.
Designing Lessons and Resources with AI
- Drafting lesson outlines that align with learning intentions, success criteria, and curriculum outcomes.
- Producing 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 that align with standards and task requirements.
- Drafting feedback comments and conferencing prompts while maintaining the teacher’s 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 Appropriateness
- Identifying common issues: hallucinations, missing context, inconsistent depth, and inappropriate reading levels.
- Simple verification routines: cross-checking facts, requesting sources, and validating 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: managing student data, sensitive topics, and ensuring appropriate prompts and outputs.
- Academic integrity: guidelines for acceptable use, attribution expectations, and student-facing AI literacy activities.
- Action plan: designing one AI-supported lesson or workflow, defining boundaries and routines, and planning stakeholder communication.
Requirements
- Proficiency in using a computer, web browser, and standard school tools (such as Google Workspace or Microsoft 365).
- Prior experience in planning lessons and developing learning resources for primary or high school students.
- No programming background is required.
Audience
- Primary School teachers from any subject discipline.
- High School teachers from any subject discipline.
- 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)
