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What this course delivers
Create content with AI — with the teacher in control
This Practitioner course prepares teachers to create, evaluate, improve and responsibly deploy classroom content with AI — prompt design, worksheets, slides, stories, visuals, concept maps, quizzes, rubrics and quality assurance — with AI supporting the teacher's judgement, never replacing it.
Draft worksheets, slides, stories, visuals, concept maps, quizzes, rubrics and differentiated resources — each designed from a learning outcome, not just made to look attractive.
AI invents facts, dates and sources with confidence. You fact-check every claim, catch hallucination, bias and distorting simplification, and approve the final resource.
Every resource meets WCAG 2.2 AA — alt text, contrast, structure and the right reading level — represents people fairly, and localises for your learners, not just translates.
Every module builds a practical classroom artifact — a worksheet, a quiz, a rubric, a concept map, a visual — that assembles into a teacher-reviewed content resource pack.
What you'll build
Every module builds a practical content artifact, and you graduate with a teacher-reviewed Content Resource Pack — these fifteen sections — scored on a fourteen-criterion analytic rubric.
Course Syllabus
Start here: understand how the course, activities, module assessments, final and capstone content pack lead to a certificate; learn what AI can and cannot create and why the teacher stays accountable; take the baseline diagnostic and set up your content portfolio; and use the complete course glossary as your reference throughout.
Learning Outcomes
- Describe the course structure, activities, assessments, capstone content pack and certificate requirements.
- Explain what AI can and cannot create and why the teacher remains accountable for every output.
- Use the baseline diagnostic, content portfolio and complete course glossary to guide your learning.
Lessons
Welcome and Course Navigation
Objective: Describe how the orientation, ten modules, activities, assessments and capstone content pack lead to a certificate, and how to use the course's tools.
What AI Can and Cannot Create, and Teacher Accountability
Objective: Distinguish the content AI can genuinely help create from what needs human judgement, and explain why the teacher remains accountable for every output.
Baseline Diagnostic, Portfolio Setup and Course Glossary
Objective: Take the baseline diagnostic to find your focus areas, set up your content portfolio, and use the complete course glossary as a reference throughout.
Module Assessment
Baseline diagnostic (ungraded, 10 questions) + content portfolio set up · 0 Questions
Visual Concepts
Timeline Visual
Course roadmap: orientation to certificate
Comparison Chart
What AI can and cannot create
Checklist
Content pack components
Understand educational content as a designed learning experience, know generative AI's capabilities and limitations, recognise hallucinations, bias and inappropriate simplification, apply copyright, attribution and originality rules, and protect student and institutional information.
Learning Outcomes
- Explain educational content as a designed learning experience serving an outcome.
- Distinguish generative AI's capabilities from its limitations and failure modes — hallucination, bias, inappropriate simplification.
- Apply copyright, attribution and originality rules and protect student and institutional information.
Lessons
Educational Content as a Designed Learning Experience
Objective: Explain why educational content is a designed learning experience serving an outcome, not just attractive material.
Generative AI: Capabilities and Limitations
Objective: Distinguish what generative AI can do well from what it does poorly, so you use it where it genuinely helps.
Hallucinations, Bias and Inappropriate Simplification
Objective: Recognise the three failure modes — hallucination, bias and inappropriate simplification — and how each harms educational content.
Copyright, Attribution and Originality
Objective: Apply copyright, attribution and originality rules when creating content with AI, respecting others' work and disclosing AI use.
Protecting Student and Institutional Information
Objective: Apply data-protection rules so that no identifiable student or institutional information ever enters a public AI or image tool.
Module Assessment
Foundations note: content-design brief for one resource + AI capability/limitation + copyright/attribution + data-protection checklist applied · 8 Questions
Visual Concepts
Flowchart
Content as a designed learning experience
Comparison Chart
AI capabilities and limitations
Comparison Chart
Hallucination, bias and over-simplification
Flowchart
Data-protection traffic light
Write high-quality educational prompts using role, context, learner profile, objective, source, constraints, output structure, quality criteria and a review request; chain and refine prompts; ask AI to critique its own output; and build a reusable prompt library.
Learning Outcomes
- Write a high-quality educational prompt using role, context, learner profile, objective, source, constraints, output structure, quality criteria, safety and review request.
- Chain and iteratively refine prompts, and ask AI to critique its own output.
- Build a reusable prompt library of core educational content types.
Lessons
Anatomy of a High-Quality Educational Prompt
Objective: Write an educational prompt that specifies role, educational context, learner profile, learning objective, source material, task, constraints, output structure, quality criteria and a review request.
Constraints, Examples and Output Formats
Objective: Use precise constraints, a short example and an explicit output format to make AI content usable on the first attempt.
Prompt Chaining and Iterative Refinement
Objective: Break a large content task into a chain of smaller prompts and refine each step through targeted iteration.
Asking AI to Critique Its Own Output
Objective: Use self-critique prompts to surface weaknesses in AI content, while remembering the teacher's review remains the final check.
Building a Reusable Prompt Library
Objective: Assemble a reusable, data-safe prompt library covering the core educational content types, each with placeholders and a review step.
Module Assessment
Reusable prompt library (framework prompts per content type + placeholders + review steps) · 8 Questions
Visual Concepts
Flowchart
Educational prompt framework
Comparison Chart
Weak / improved / expert prompt
Cycle Diagram
Prompt chaining and refinement
Checklist
Reusable prompt library
Design worksheets from learning outcomes with appropriate question types, add scaffolds and differentiation, generate accurate answer keys and teacher guidance, and review a complete worksheet pack for usability and accuracy.
Learning Outcomes
- Design a worksheet from a learning outcome using appropriate question types.
- Add scaffolds, worked examples and differentiation by readiness and support need.
- Generate accurate answer keys and teacher guidance and review the pack for usability and accuracy.
Lessons
Designing Worksheets from Learning Outcomes
Objective: Design a worksheet that starts from a measurable learning outcome and selects question types that genuinely test it.
Scaffolds, Worked Examples and Differentiation
Objective: Add scaffolds and worked examples to a worksheet and generate support and challenge versions that keep the same outcome.
Answer Keys and Teacher Guidance
Objective: Generate accurate answer keys with explanations and teacher guidance (marking notes, common errors), and verify every answer.
Worksheet Pack Studio
Objective: Assemble a complete, review-ready worksheet pack — teacher and student versions, answer key, marking guidance, extension, remedial, accessibility and verification notes.
Module Assessment
Complete worksheet pack (teacher + student versions + verified key + guidance + extension + remedial + accessibility + verification notes) · 8 Questions
Visual Concepts
Flowchart
Outcome to worksheet map
Timeline Visual
Scaffolding ladder
Comparison Chart
Support and challenge versions
Checklist
Worksheet pack components
Storyboard a teaching sequence with one purpose per slide, write concise accurate slide text and speaker notes, design microlearning sequences, and review a slide set for visual and cognitive load.
Learning Outcomes
- Storyboard a teaching sequence with one learning purpose per slide.
- Write concise, accurate slide text and useful speaker notes and explainer scripts.
- Design a microlearning sequence and review it for visual and cognitive load.
Lessons
Storyboarding and One Purpose per Slide
Objective: Storyboard a teaching sequence so each slide carries exactly one learning purpose that builds toward the outcome.
Concise Slide Text and Speaker Notes
Objective: Write concise, accurate slide text and detailed speaker notes or explainer scripts, so slides support the teacher rather than replace them.
Designing Microlearning Sequences
Objective: Design a short, focused microlearning sequence that teaches one idea with an explanation, a check and a quick application.
Slide Sequence Studio
Objective: Assemble a review-ready 6–10 slide teaching sequence with speaker notes and a visual-and-cognitive-load review.
Module Assessment
6–10 slide teaching sequence (full arc + speaker notes + visual & cognitive-load review note) · 8 Questions
Visual Concepts
Timeline Visual
Teaching-sequence storyboard
Comparison Chart
Cluttered vs clear slide
Timeline Visual
Microlearning sequence arc
Checklist
Slide review checklist
Use stories, analogies, examples and scenarios to improve understanding; create accurate analogies and detect misleading ones; design contextual, culturally respectful examples; and check every generated example for accuracy, stereotypes and age-appropriateness.
Learning Outcomes
- Decide when a story or analogy genuinely improves understanding.
- Create accurate analogies and detect misleading ones by naming where they break down.
- Design contextual, culturally respectful examples and check them for accuracy, stereotypes and age-appropriateness.
Lessons
When Stories Improve Understanding
Objective: Decide when a story, example or scenario genuinely aids learning, and when it distracts from the concept.
Creating Accurate Analogies and Detecting Misleading Ones
Objective: Create an analogy that maps accurately to the concept and always state where it breaks down, and detect misleading analogies in AI output.
Contextual and Culturally Respectful Examples
Objective: Design examples and role-play scenarios that fit the local context, represent people fairly, and avoid stereotypes and hidden assumptions.
Story and Example Pack Studio
Objective: Assemble a review-ready story-and-example pack — a narrative, an analogy with its limits, a scenario, a misconception example, a discussion prompt and an age-adapted version — all quality-checked.
Module Assessment
Story-and-example pack (narrative + analogy with limit + scenario + misconception example + discussion prompt + age-adapted version + quality note) · 8 Questions
Visual Concepts
Flowchart
When a story helps
Comparison Chart
Analogy: what maps, what breaks
Checklist
Example quality checklist
Checklist
Story and example pack
Decide when an image supports learning; write structured educational image prompts specifying purpose, labels, layout and constraints; check generated images for bias and representation; and never place identifiable student photos or data into image tools.
Learning Outcomes
- Decide when an image genuinely supports learning rather than decorates.
- Write a structured educational image prompt controlling purpose, labels, layout and prohibited elements.
- Review generated images for bias, representation, copyright and educational accuracy, and follow safe-image rules.
Lessons
Choosing When an Image Supports Learning
Objective: Decide when an image genuinely aids learning — clarifying structure, process or relationship — and when it merely decorates.
Structure of an Educational Image Prompt
Objective: Write a structured image prompt that specifies learning purpose, subject, learner age, visual type, composition, required labels, prohibited elements, style and factual constraints.
Controlling Labels, Layout and Visual Complexity
Objective: Control an educational image's labels, layout and complexity so it is readable and age-appropriate, not cluttered.
Bias, Representation, Copyright and Safe Image Generation
Objective: Review generated images for bias and stereotype, apply copyright and consent rules, and never place identifiable student photos or data into image tools.
Visual Prompt Studio
Objective: Create a small set of reviewed educational visuals — a labelled diagram, a visual analogy, a classroom infographic and an age-adapted illustration — each with alt text and a verification record.
Module Assessment
Reviewed visual set (labelled diagram + visual analogy + infographic + age-adapted illustration + alt text + verification record) · 8 Questions
Visual Concepts
Flowchart
When an image supports learning
Checklist
Educational image prompt structure
Checklist
Image bias and representation check
Checklist
Safe image generation rules
Choose when a concept map, flowchart, comparison table or decision tree fits; design educational infographics; and validate the relationships and labels in AI-generated visual knowledge — including correcting a deliberately flawed concept map.
Learning Outcomes
- Choose the right visual knowledge tool — concept map, flowchart, comparison table or decision tree — for the content.
- Design an educational infographic that communicates a clear message accurately.
- Validate relationships and labels in AI-generated visual knowledge and correct errors.
Lessons
When to Use a Concept Map — Hierarchies and Cross-Links
Objective: Decide when a concept map fits and design one with a clear hierarchy and meaningful cross-links.
Flowcharts, Comparison Tables and Decision Trees
Objective: Choose between a flowchart, comparison table and decision tree based on whether the content is a process, a comparison or a set of choices.
Designing Educational Infographics
Objective: Design an educational infographic that communicates one clear message accurately, without misleading visuals or invented data.
Validating and Correcting a Flawed Concept Map
Objective: Inspect a deliberately flawed AI-generated concept map, identify incorrect relationships, correct labels, remove irrelevant nodes, add missing links and justify each change.
Module Assessment
Corrected concept map / visual knowledge pack (validated relationships + corrected labels + justifications) · 8 Questions
Visual Concepts
Flowchart
Which visual knowledge tool fits
Flowchart
Concept map: hierarchy and cross-links
Comparison Chart
Infographic: one clear message
Checklist
Validating relationships checklist
Align questions with outcomes, write effective multiple-choice items with distractors built from misconceptions, design short-answer and extended-response items and formative feedback, tag difficulty and cognitive level, and review a question bank for ambiguity and bias.
Learning Outcomes
- Align questions with learning outcomes and write effective MCQs with plausible distractors from misconceptions.
- Design short-answer and extended-response items with formative feedback and hints.
- Tag difficulty and cognitive level, build a balanced question bank, and review for ambiguity and bias.
Lessons
Aligning Questions with Learning Outcomes
Objective: Write questions that directly measure a stated learning outcome at the intended cognitive level.
Effective MCQs and Distractors from Misconceptions
Objective: Write clear multiple-choice items with one defensible answer and distractors built from real student misconceptions.
Short-Answer, Extended-Response and Feedback
Objective: Design short-answer and extended-response items with clear criteria, and write formative feedback and hints that help learners improve.
Difficulty, Cognitive Level and Balanced Question Banks
Objective: Tag items by difficulty and cognitive level and build a balanced question bank that spans the outcomes and levels.
Question Bank Studio
Objective: Assemble a review-ready 20-item question bank with varied item types, answer keys, distractor rationales, feedback, difficulty and Bloom tags and outcome mappings, reviewed for ambiguity and bias.
Module Assessment
20-item question bank (varied types + verified keys + distractor rationales + feedback + difficulty/Bloom tags + outcome mappings + review note) · 8 Questions
Visual Concepts
Flowchart
Question to outcome map
Comparison Chart
Anatomy of a good MCQ
Cycle Diagram
Formative feedback loop
Checklist
Question bank review checklist
Understand the purpose of rubrics and when analytic or holistic forms fit, write observable criteria and clear performance levels, remove vague and biased language, and assemble a classroom-ready rubric for a performance task.
Learning Outcomes
- Explain the purpose of rubrics and choose between analytic and holistic forms.
- Write observable criteria and clear, distinguishable performance levels.
- Remove vague and biased language and assemble a fair, usable rubric.
Lessons
The Purpose of Rubrics: Analytic and Holistic
Objective: Explain what a rubric is for and choose between an analytic and a holistic rubric for a given task.
Observable Criteria and Clear Performance Levels
Objective: Write rubric criteria that describe observable evidence and performance levels that are genuinely distinguishable.
Removing Vague and Biased Language from Rubrics
Objective: Identify and remove vague and biased language from a rubric so it assesses learning fairly, not background, presentation or personality.
Rubric Studio
Objective: Assemble a classroom-ready analytic rubric for a performance task with observable criteria, distinguishable levels, fair language and a student-friendly version.
Module Assessment
Analytic rubric for a performance task (observable criteria + 4 distinguishable levels + fair language + student-friendly version + review note) · 8 Questions
Visual Concepts
Comparison Chart
Analytic vs holistic rubrics
Flowchart
Criteria × performance-level grid
Comparison Chart
Vague to observable language
Checklist
Fair rubric checklist
Run a disciplined teacher review workflow (VERIFY), fact-check and review for bias, check accessibility and reading level, translate versus localise and adapt content across boards, and audit and correct a flawed resource end to end.
Learning Outcomes
- Run the VERIFY teacher review workflow and fact-check content, including AI-invented facts and sources.
- Review for bias, accessibility and reading level against WCAG 2.2 AA and your learners.
- Distinguish translation from localisation, adapt across boards, and audit and correct a flawed resource.
Lessons
The Teacher Review Workflow (VERIFY)
Objective: Apply a disciplined six-step review workflow to any AI-assisted resource before it reaches students.
Fact-Checking and Reviewing for Bias
Objective: Fact-check AI content — including invented facts, dates and sources — and review it for bias and fair representation.
Accessibility and Reading-Level Review
Objective: Review a resource for accessibility (WCAG 2.2 AA) and reading level so every learner, including those with disabilities, can use it.
Translating vs Localising and Adapting Across Boards
Objective: Distinguish translation from localisation and adapt a resource across languages, contexts and different boards or curricula.
Audit-and-Correct a Flawed Resource Studio
Objective: Audit a deliberately flawed AI resource end to end using VERIFY and produce a corrected, classroom-ready version with an audit log.
Module Assessment
Audit-and-correct report: a flawed AI resource reviewed end to end with VERIFY, corrected classroom-ready version + audit log (flaw found → correction made) · 8 Questions
Visual Concepts
Cycle Diagram
The VERIFY review workflow
Flowchart
Fact-checking a claim
Checklist
Accessibility & reading-level checklist
Comparison Chart
Translate vs localise
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.