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Course Outline
AI in Education: Foundations and Practical Applications
- A plain-English explanation of AI and generative AI, clarifying what it can and cannot achieve in classroom settings.
- Common applications for educators: planning, resource creation, differentiation, assessment support, and communication.
- Defining expectations: AI as a co-pilot rather than a substitute for professional judgment or school policy.
Getting Started with AI Tools in Schools
- Choosing appropriate tools: web-based assistants and AI features integrated into common platforms.
- Fundamental setup for safety: accounts, school guidelines, and identifying information that should not be shared.
- Immediate benefits for teachers: summarizing, rephrasing, generating examples, and refining clarity and tone.
Prompting Skills for Teachers
- Effective instruction: defining role, task, context, constraints, format, and examples.
- Core prompting patterns: brainstorming, drafting, critiquing, refining, comparing options, and creating variations.
- Practical exercise: building a reusable prompt library for your subject, year levels, and common tasks.
Designing Lessons and Resources with AI
- Drafting lesson outlines aligned with learning intentions, success criteria, and curriculum standards.
- Developing classroom-ready materials: explanations, worked examples, worksheets, slide outlines, and discussion prompts.
- Differentiation strategies: adjusting reading levels, adding scaffolds, providing extensions, and suggesting multi-modal options.
Supporting Assessment and Feedback
- Creating 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.
- Practical exercise: developing an assessment support pack for a current unit, including questions, rubric language, and feedback stems.
Quality Assurance: Accuracy, Bias, and Learner Suitability
- Identifying common issues: hallucinations, missing context, uneven depth, and inappropriate reading levels.
- Simple verification processes: cross-checking facts, requesting sources, and validating against trusted references.
- Editing for inclusivity and accessibility: conducting bias checks, using culturally responsive language, and adapting for diverse learners.
Responsible Classroom Use and Implementation Strategy
- Privacy and safety: managing student data, handling sensitive topics, and ensuring appropriate prompts and outputs.
- Academic integrity: guiding acceptable use, setting attribution expectations, and implementing student-focused 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 planning lessons and creating learning resources for primary or high school students.
- No programming background is necessary.
Audience
- Primary School teachers across all subject areas.
- High School teachers across all subject areas.
- Curriculum leads, learning support staff, and instructional coaches who support classroom delivery.
14 Hours
Testimonials (2)
use of proper and effective prompt
Marses Pacaldo
Course - Generative AI and Prompt Engineering for Corporate Professionals
The interactive style, the exercises
