Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
AI in Education: Core Concepts and Practical Applications
- Simplified explanation of AI and generative AI – understanding capabilities and limitations in classroom scenarios.
- Typical educator applications: planning, resource development, differentiation, assessment assistance, and communication.
- Defining expectations: viewing AI as a co-pilot rather than a substitute for professional judgment or school policies.
Initiating AI Tool Usage in Educational Settings
- Choosing suitable tools: web-based assistants and integrated AI features in common platforms.
- Fundamentals of safe setup: account management, school guidelines, and data privacy restrictions.
- Immediate benefits for teachers: summarization, rephrasing, example generation, and enhancing clarity and tone.
Prompting Skills for Educators
- Crafting precise requests: defining role, task, context, constraints, format, and providing examples.
- Essential prompt structures: brainstorming, drafting, critical analysis, refinement, option comparison, and creating variations.
- Practical exercise: developing a reusable prompt repository tailored to your subject, grade level, and common tasks.
Designing Lessons and Resources with AI
- Drafting lesson frameworks aligned with learning intentions, success criteria, and curriculum outcomes.
- Developing ready-to-use classroom materials: explanations, worked examples, worksheets, slide structures, and discussion starters.
- Differentiation strategies: modifying reading levels, adding scaffolds, offering extensions, and suggesting multi-modal approaches.
Support for Assessment and Feedback
- Creating question banks, formative assessments, and rubric criteria aligned with standards and task specifications.
- Drafting feedback statements and conferencing prompts while maintaining the teacher’s voice and professional accountability.
- Practical exercise: compiling an assessment support kit for a current unit, including questions, rubric wording, and feedback templates.
Quality Assurance: Precision, Bias, and Student Suitability
- Identifying common pitfalls: hallucinations, missing context, inconsistent depth, and unsuitable reading levels.
- Basic verification methods: fact-checking, requesting citations, and cross-referencing with reliable sources.
- Refining for inclusivity and accessibility: bias reviews, culturally sensitive language, and adaptations for diverse learners.
Responsible Classroom Application and Implementation Planning
- Privacy and security: managing student data, sensitive subjects, and appropriate prompts and outputs.
- Academic integrity: guidance on acceptable use, citation expectations, and student-centered AI literacy activities.
- Action plan: designing one AI-integrated lesson or workflow, establishing boundaries and routines, and planning stakeholder communication.
Requirements
- Proficiency with computers, web browsers, and standard educational tools such as Google Workspace or Microsoft 365.
- Prior experience in lesson planning and developing learning resources for primary or high school students.
- No programming background is necessary.
Target Audience
- Primary School educators across all subject disciplines.
- High School educators across all subject disciplines.
- Curriculum leaders, learning support personnel, and instructional coaches who facilitate classroom instruction.
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
