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Duration 14 hours
Course Outline
AI in Education: Foundations and Practical Applications
- A clear explanation of AI and generative AI in plain language, outlining its capabilities and limitations within classroom settings.
- Key use cases for educators: lesson planning, resource creation, differentiation, assessment support, and communication.
- Setting realistic expectations: positioning AI as a co-pilot that supports, rather than replaces, professional judgment and school policy.
Introducing AI Tools in School Environments
- Selecting suitable tools, including web-based assistants and integrated AI features within common platforms.
- Essential setup procedures: managing accounts, adhering to school guidelines, and identifying sensitive information that should not be shared.
- Immediate benefits for teachers: summarizing content, rewording text, generating examples, and enhancing clarity and tone.
Prompting Techniques for Educators
- Structuring requests effectively by defining role, task, context, constraints, format, and examples.
- Mastering core prompt patterns: brainstorming, drafting, critiquing, refining, comparing options, and generating variations.
- Practical exercise: building a reusable prompt library tailored to your subject, year levels, and routine tasks.
Designing Lessons and Resources with AI
- Drafting lesson outlines that align with learning intentions, success criteria, and curriculum outcomes.
- Developing classroom-ready materials, including explanations, worked examples, worksheets, slide outlines, and discussion prompts.
- Implementing differentiation: adjusting reading levels, adding scaffolds, providing extension activities, and suggesting multi-modal options.
Supporting Assessment and Feedback
- Generating question banks, formative checks, and rubric descriptors that align with standards and specific task requirements.
- Drafting feedback comments and conferencing prompts while maintaining the teacher’s voice and professional responsibility.
- Practical exercise: creating an assessment support pack for a current unit, including questions, rubric language, and feedback stems.
Quality Assurance: Accuracy, Bias, and Student Relevance
- Identifying common issues such as hallucinations, missing context, inconsistent depth, and inappropriate reading levels.
- Establishing simple verification routines, including cross-checking facts, requesting sources, and validating against trusted references.
- Editing for inclusivity and accessibility, involving bias checks, culturally responsive language, and adaptations for diverse learners.
Responsible Classroom Use and Implementation Strategy
- Prioritizing privacy and safety: managing student data, addressing sensitive topics, and ensuring appropriate prompts and outputs.
- Upholding academic integrity: providing guidance on acceptable use, setting attribution expectations, and designing student-facing AI literacy activities.
- Creating an action plan: designing one AI-supported lesson or workflow, defining boundaries and routines, and planning communication with stakeholders.
Requirements
- Proficiency in using computers, web browsers, and common educational tools such as Google Workspace or Microsoft 365.
- Experience in planning lessons and developing learning resources for primary or high school students.
- No prior programming experience is necessary.
Intended Audience
- Primary School teachers across all subject areas.
- High School teachers across all subject areas.
- Curriculum leaders, learning support staff, and instructional coaches involved in classroom delivery.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
