What you will learn
What this course delivers
Save time — without lowering teaching quality
This Practitioner course prepares teachers with structured prompting, lesson planning and differentiation, worksheets and quizzes, feedback and rubrics, professional communication, accessible visual resources and reusable workflows — with AI supporting the teacher's judgement, never replacing it.
Use AI as a first-draft assistant for the repetitive work — plans, worksheets, feedback, emails — and measure whether it genuinely saves time once review is counted.
Write prompts with purpose, audience, context, constraints, sources and quality criteria — and ground them in trusted sources so outputs are accurate and fast to verify.
The teacher reviews every output for accuracy, bias and accessibility, never enters identifiable student data into AI tools, and keeps control of every educational decision.
Every module builds a practical classroom artifact — a plan, a quiz, a rubric, a feedback set, a workflow library — that assembles into a teacher-reviewed AI productivity portfolio.
What you'll build
Every module builds a practical classroom artifact, and you graduate with a teacher-reviewed AI Productivity Portfolio — these thirteen sections — scored on a ten-criterion analytic rubric.
Course Syllabus
Start here: understand how the course, activities, assessments and capstone portfolio lead to a certificate; accept the responsible-use pledge (verify every output, protect student data, keep control of educational decisions); take the entry diagnostic; and use the complete course glossary as your reference throughout.
Learning Outcomes
- Describe the course structure, activities, assessments, capstone portfolio and certificate requirements.
- Accept the responsible-use pledge: verify every output, protect student data, keep control of educational decisions.
- Use the entry diagnostic and the complete course glossary to guide your learning.
Lessons
Welcome and Course Navigation
Objective: Describe how the orientation, eight modules, activities, assessments and capstone portfolio lead to a certificate, and how to use the course's tools.
Responsible-Use Pledge, Diagnostic and Course Glossary
Objective: Accept the responsible-use pledge, take the entry diagnostic, and use the complete course glossary as a reference throughout the course.
Module Assessment
Entry diagnostic (ungraded, 12 questions) + accepted responsible-use pledge · 0 Questions
Visual Concepts
Timeline Visual
Course roadmap: orientation to certificate
Checklist
Responsible-use pledge
Checklist
AI productivity portfolio components
Identify where AI can genuinely save teachers time, understand what AI can and cannot do and where human oversight is essential, apply privacy, bias, copyright and safeguarding rules, and build a safe teacher-AI workflow.
Learning Outcomes
- Identify teaching and administrative tasks appropriately supported by AI, and those needing direct human responsibility.
- Distinguish AI's capabilities from its limitations and the failure modes that require human oversight.
- Apply privacy, bias, copyright and safeguarding rules, and follow a safe teacher-AI workflow.
Lessons
Where AI Can Save Teachers Time
Objective: Map your teaching workload and identify which tasks AI can appropriately support and which require your direct responsibility.
Capabilities, Limitations and Human Oversight
Objective: Distinguish what generative AI does well from its common failure modes, and explain why fluent writing does not guarantee correctness.
Privacy, Bias, Copyright and Safeguarding
Objective: Apply the core responsible-use rules — student privacy, data minimisation, bias awareness, copyright-aware use and safeguarding — and classify scenarios as safe, revise-before-use or prohibited.
Building a Safe Teacher-AI Workflow
Objective: Assemble a one-page 'My Responsible AI Workflow' checklist that takes any task from define through review to approve, safely and consistently.
Module Assessment
One-page 'My Responsible AI Workflow' checklist + workload map · 8 Questions
Visual Concepts
Cycle Diagram
Teacher workload wheel
Comparison Chart
Effort-versus-impact matrix
Comparison Chart
Capability and limitation comparison
Flowchart
Privacy traffic-light model
Resources
My Responsible AI Workflow checklist
The nine-step safe workflow: define, remove data, context, generate, review, verify, adapt, approve, document.
Teacher workload map + AI suitability guide
Sort your weekly tasks into AI-suitable, AI-assisted and human-only.
Privacy traffic-light triage card
Classify any AI use as safe, revise-before-use or prohibited.
Complete Course Glossary
Every key term across the course, explained in plain language.
Write structured teaching prompts using purpose, audience, context, constraints, sources, output format and quality criteria; ground prompts in trusted sources; and improve weak outputs through deliberate iteration.
Learning Outcomes
- Write structured prompts using purpose, audience, context, constraints, sources, output format and quality criteria.
- Ground prompts in trusted source material to reduce fabrication and improve accuracy.
- Diagnose and iteratively improve weak AI outputs.
Lessons
Anatomy of an Effective Teaching Prompt
Objective: Write a structured teaching prompt that specifies purpose, audience, context, constraints, output format and quality criteria.
Context, Constraints and Examples
Objective: Use rich context, precise constraints and a short example to steer AI output toward a usable, on-target draft.
Source-Grounded and Verifiable Prompting
Objective: Ground prompts in trusted source material and ask for verifiable output to reduce fabrication and make review faster.
Prompt Clinic and Iteration
Objective: Diagnose why an AI output is weak and improve it through targeted iteration rather than starting over.
Module Assessment
Teaching Prompt Canvas (structured, source-grounded prompt + iteration record) · 8 Questions
Visual Concepts
Flowchart
Anatomy of a teaching prompt
Comparison Chart
Context and constraint layers
Flowchart
Source-grounded prompting flow
Cycle Diagram
Prompt iteration loop
Plan outcome-aligned lessons with AI, design an engaging lesson flow, differentiate inclusively without lowering expectations, and assemble a review-ready lesson pack.
Learning Outcomes
- Generate and review a curriculum-aligned lesson plan that starts from measurable outcomes.
- Design an engaging lesson flow with a hook, clear explanation, practice and a check for understanding.
- Differentiate inclusively without lowering the learning goal or stigmatising learners.
Lessons
Outcome-Aligned Lesson Planning
Objective: Use AI to draft a lesson plan that begins from a measurable learning outcome and aligns every activity and check to it.
Designing an Engaging Lesson Flow
Objective: Use AI to design a lesson arc — hook, explanation, modelled and guided practice, independent work and a check — that keeps learners engaged and active.
Differentiation and Inclusive Adaptation
Objective: Use AI to create support and challenge versions of one resource that keep the same learning goal and avoid stigmatising labels.
Lesson Pack Studio
Objective: Assemble a review-ready lesson pack — plan, engaging flow, differentiated versions and a check — with a teacher verification note.
Module Assessment
Review-ready lesson pack (outcome-aligned plan + engaging flow + differentiated versions + check + verification note) · 8 Questions
Visual Concepts
Flowchart
Backward-design lesson flow
Timeline Visual
Engaging lesson arc
Flowchart
One core, many versions
Checklist
Lesson pack components
Match assessment to purpose and cognitive demand, write high-quality question items, produce accurate answer keys with feedback, and assemble a review-ready worksheet or quiz.
Learning Outcomes
- Match an assessment's format to its purpose and intended cognitive demand.
- Write clear, valid question items free of common flaws.
- Produce accurate answer keys with feedback and review items for quality.
Lessons
Assessment Purpose and Cognitive Demand
Objective: Match an assessment to its purpose (formative or summative) and set the intended cognitive demand before generating items.
Writing High-Quality Questions
Objective: Write clear, valid question items and recognise and fix common item-writing flaws in AI-generated questions.
Feedback, Answer Keys and Item Review
Objective: Produce accurate answer keys with explanatory feedback and run a quick item-review pass before an assessment is used.
Worksheet and Quiz Studio
Objective: Assemble a review-ready worksheet or quiz with a verified answer key, feedback and an item-review record.
Module Assessment
Review-ready worksheet or quiz (reviewed items + verified key with feedback + item-review record) · 8 Questions
Visual Concepts
Comparison Chart
Purpose-to-format match
Timeline Visual
Cognitive demand ladder
Checklist
Item-flaw checklist
Flowchart
Answer key and review flow
Write actionable, growth-oriented feedback with AI support, design clear criterion-referenced rubrics, and turn common misconceptions into remediation and extension — keeping feedback fair and free of student data.
Learning Outcomes
- Write actionable, specific, growth-oriented feedback that a learner can act on.
- Design a clear, criterion-referenced rubric aligned to the learning outcome.
- Anticipate common misconceptions and design remediation and extension.
Lessons
Principles of Actionable Feedback
Objective: Write specific, actionable, growth-oriented feedback that tells a learner what to do next, using AI to draft and the teacher to personalise.
Designing Effective Rubrics
Objective: Design a clear, criterion-referenced rubric aligned to the learning outcome, with distinct performance levels a student can understand.
Misconceptions, Remediation and Extension
Objective: Anticipate common misconceptions and use AI to design targeted remediation and meaningful extension without lowering or padding the work.
Feedback and Rubric Studio
Objective: Assemble a review-ready feedback-and-rubric set — a validated rubric, sample feedback statements and a remediation/extension plan — with a privacy check.
Module Assessment
Feedback-and-rubric set (validated rubric + three sample feedback statements + remediation/extension plan + privacy note) · 8 Questions
Visual Concepts
Flowchart
Anatomy of actionable feedback
Comparison Chart
Criterion-referenced rubric structure
Flowchart
Misconception to remediation map
Comparison Chart
Remediation and extension paths
Draft professional, respectful emails and parent communication; write accurate reports and progress summaries; capture meeting notes and actions without inventing decisions; and build reusable administrative workflows — all data-safe.
Learning Outcomes
- Draft professional, respectful and neutral-toned emails and parent communication.
- Write accurate reports and progress summaries that do not invent or overstate.
- Capture meeting notes and action items faithfully, and build reusable administrative workflows.
Lessons
Professional Emails and Parent Communication
Objective: Draft professional, respectful and neutral-toned emails and parent messages with AI, and review them for tone, accuracy and privacy.
Reports and Progress Summaries
Objective: Use AI to draft accurate report comments and progress summaries that do not invent or overstate, working only from verified information.
Meeting Notes and Action Tracking
Objective: Use AI to turn rough meeting notes into clear minutes and action items without inventing decisions, and track follow-up.
Reusable Administrative Workflows
Objective: Turn a recurring administrative task into a reusable, data-safe AI workflow with a saved prompt, a review step and a template.
Module Assessment
Communication or administrative resource (respectful message or reusable data-safe workflow with review step) · 8 Questions
Visual Concepts
Comparison Chart
Tone and register ladder
Checklist
Report accuracy checklist
Flowchart
Meeting notes to action items
Cycle Diagram
Reusable admin workflow
Choose the right visualization for a concept, design clear slides and handouts, make multimedia accessible with text alternatives and captions, and assemble a review-ready multimodal resource.
Learning Outcomes
- Choose a visualization that genuinely teaches or simplifies a concept, not decoration.
- Design clear, uncluttered slides and handouts with AI support.
- Make visual and multimedia resources accessible with text alternatives, captions and non-colour cues.
Lessons
Choosing the Right Visualization
Objective: Choose a visualization type that fits the concept and genuinely teaches or simplifies it, avoiding decorative visuals.
Slides, Handouts and Student Resources
Objective: Design clear, uncluttered slides and handouts that reduce cognitive load and support learning, using AI to draft and the teacher to refine.
Accessibility for Multimedia
Objective: Make visual and multimedia resources accessible using text alternatives, captions, readable design and non-colour cues.
Multimodal Resource Studio
Objective: Assemble a review-ready, accessible multimodal resource (a slide set or handout with a visual) with an accessibility and accuracy check.
Module Assessment
Accessible multimodal resource (well-chosen visual + clear slides/handout + accessibility & accuracy check note) · 8 Questions
Visual Concepts
Flowchart
Which visualization fits
Comparison Chart
Cluttered vs clear slide
Checklist
Multimedia accessibility checklist
Checklist
Multimodal resource components
Evaluate AI-generated content for accuracy, bias, privacy and usefulness; improve weak outputs systematically; build a reusable personal AI workflow library; and measure whether AI genuinely saves time or improves quality.
Learning Outcomes
- Evaluate AI-generated content for accuracy, bias, privacy, inclusion and pedagogical usefulness.
- Improve weak AI outputs through a systematic evaluation-and-iteration routine.
- Build a reusable personal AI workflow library and measure real impact on time and quality.
Lessons
Evaluating AI-Generated Content
Objective: Evaluate any AI output against a consistent checklist — accuracy, bias, privacy, inclusion and pedagogical usefulness — before using it.
Systematic Prompt and Output Improvement
Objective: Turn one-off fixes into a repeatable improvement routine: evaluate, identify the biggest gap, improve the prompt, and capture what worked.
Building a Personal AI Workflow Library
Objective: Organise your best prompts, templates and workflows into a reusable personal library so your most useful practice is one click away.
Measuring Impact and Planning Next Steps
Objective: Measure whether an AI-supported workflow genuinely saves time or improves quality, and write a reflective action plan for continued responsible use.
Module Assessment
Personal AI workflow library + impact measurement + reflective action plan · 8 Questions
Visual Concepts
Checklist
AI output evaluation checklist
Cycle Diagram
Systematic improvement loop
Checklist
Personal workflow library
Comparison Chart
Time-saved vs quality gained
AI can draft, but it does not understand or verify. You remain responsible for the accuracy, fairness, privacy and classroom-appropriateness of anything you use.