Source-grounded workflows can help educators ask questions about a defined set of reference material rather than relying only on a model’s general knowledge. This can make it easier to trace ideas back to the materials provided, but the educator still needs to check interpretation, context and whether the source itself is authoritative and current.
You will learn to select appropriate source material, organise it around a task, ask useful questions and turn source-grounded outputs into teacher-reviewed notes, plans or professional summaries.
What the course covers
The modules focus on practical educator workflows rather than technology for its own sake.
Choosing sources and defining the task.
Comparing, locating and organising information.
Turning references into structured teacher-reviewed drafts.
Checking currency, authority, interpretation and missing context.
Designed for practical education work
The course focuses on reference-heavy tasks such as working with policy documents, course materials, meeting notes or curriculum documents while maintaining source discipline.
Responsible use matters
AI output should be treated as draft material that requires professional judgement, verification and adaptation. Educators remain responsible for accuracy, safeguarding, privacy, assessment decisions, intellectual-property considerations and the suitability of materials for their learners and setting.
Build the AI skills that fit your role
Compare AI literacy, prompt engineering, assessment, lesson planning and tool-specific pathways before choosing a course.