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Duration 14 hours
Course Outline
AI in Education: Foundations and Practical Use Cases
- An explanation of AI and generative AI in plain English, covering what is and is not possible in classroom settings.
- Common educator use cases: planning, resource creation, differentiation, assessment support, and communication.
- Setting expectations: positioning AI as a co-pilot rather than a substitute for professional judgment or school policy.
Getting Started with AI Tools in School Environments
- Selecting suitable tools, including web-based assistants and built-in AI features within common platforms.
- Safe setup fundamentals: account management, school guidelines, and identifying information that should remain confidential.
- Immediate benefits for teachers: summarizing, rephrasing, generating examples, and improving clarity and tone.
Prompting Skills for Educators
- Formulating requests effectively: defining role, task, context, constraints, format, and examples.
- Core prompt patterns: brainstorming, drafting, critiquing, refining, comparing options, and creating variations.
- Practical application: building a reusable prompt library for specific subjects, year levels, and common tasks.
Lesson and Resource Design Using AI
- Drafting lesson outlines aligned with learning intentions, success criteria, and curriculum outcomes.
- Creating classroom-ready materials, including explanations, worked examples, worksheets, slide outlines, and discussion prompts.
- Differentiation strategies: adjusting reading levels, adding scaffolds, providing extensions, 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.
- Practical exercise: creating 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 such as hallucinations, missing context, uneven depth, and inappropriate reading levels.
- Basic 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 adapting 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: guidance on acceptable use, attribution expectations, and student-facing AI literacy activities.
- Action planning: 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 programming experience is required.
Target 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 (2)
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
