Access and credential notice
This learner room is part of the launch pilot. Device-local progress is not proof of paid enrolment. A certificate of completion is issued only after BeAccessible confirms enrolment, lesson completion, practical evidence and the assessment result.
Course progress
0 of 16 lessons complete (0%)
How to use this learner room
- 1. Accessible Start
- 2. AI Foundations
- 3. Prompting and Verification
- 4. Productivity and Research
- Final knowledge check
- Digital logbook
Your progress is always saved in this browser. When you sign in through the digital logbook, progress and assessment results also synchronise with your secure learner account.
Checking progress synchronisation…
Accessible Start and AI Readiness
Set up a safe, accessible learning workflow and choose a useful goal.
Lesson 1.1 — Welcome, choice and access
Learning should adapt to people. Choose the formats, pace, input methods and support that help you participate with the least unnecessary effort.
Make four choices
- Choose text, audio, video or a combination.
- Choose a realistic weekly study time.
- Choose how you will record evidence: typed, voice, visual or supported demonstration.
- Choose how you will pause and return after an interruption.
Practice
Create a one-page access plan: “I learn best when…”, “I may need…”, “I will record evidence by…”, and “If I fall behind, I will restart with…”.
Lesson 1.2 — Your AI starting point
Confidence is not the same as competence. A baseline shows what you know now, what you still need and what would make the course useful.
Review five areas
- Understanding AI
- Writing clear instructions
- Checking results
- Protecting information
- Applying AI to a real task
Practice
Complete the AI readiness check. Record the score and one area you want to improve.
Lesson 1.3 — Accounts, files and privacy basics
Keep learning evidence organised and separate from confidential work. Use meaningful filenames, dates and version labels.
Simple file pattern
AI-Essentials_TaskName_YourInitials_YYYY-MM-DD_v1
Practice
Create one course folder with subfolders named “Prompts”, “Outputs”, “Checks” and “Final evidence”. Save a blank document using the filename pattern.
Lesson 1.4 — Choose a real-world challenge
A good learning challenge is useful, bounded, lower risk and easy to test. Avoid problems that require AI to make final decisions about people.
Challenge statement
“I want to improve [task] for [user] because [current barrier or delay]. AI may assist by [bounded role]. A person will remain responsible for [review or decision].”
Practice
Write your challenge statement. Examples: improve meeting follow-up, simplify a public information page, structure a research briefing or create a reusable email workflow.
AI Foundations Without the Jargon
Understand what generative AI can and cannot do and choose appropriate uses.
Lesson 2.1 — What AI is—and is not
Artificial intelligence is a broad term for systems that perform tasks associated with human intelligence. Machine learning finds patterns from data. Generative AI creates new content from learned patterns.
Automation follows rules; AI may infer, predict or generate. Many real systems combine both.
Practice
Classify each as ordinary software, rule-based automation or AI: calculator, automatic invoice reminder, chatbot drafting an answer, spreadsheet total and image generator. Explain one answer.
Lesson 2.2 — How generative AI produces answers
Generative AI predicts likely content from its training and the current conversation. It can create fluent answers without independently knowing whether they are true.
Why errors happen
- The prompt lacks context.
- Training data is incomplete or biased.
- The tool predicts a plausible but unsupported detail.
- The information changed after training.
- The task requires specialist judgement.
Practice
Ask an AI tool for three facts about a topic you know well. Mark each as correct, incomplete, uncertain or incorrect. Record what made the answer sound believable.
Lesson 2.3 — Strengths, limits and human judgement
AI is useful for drafting, reorganising, comparing and generating options. People remain responsible for purpose, values, context, lived experience, verification and consequential decisions.
Assist–Review–Avoid
- Assist: low-risk, reversible and easy to check.
- Review: meaningful consequences require named human oversight.
- Avoid: do not delegate final high-impact decisions or use data without authority.
Practice
Classify three tasks from your work or life. State why each belongs in Assist, Review or Avoid.
Lesson 2.4 — Your first useful AI task
Use AI on a task whose quality you can judge. Keep the original, the prompt, the AI output and your final human-edited version.
Practice
Choose a short public text, agenda or task list. Ask AI to improve its structure. Check every claim, add missing context, improve accessibility and record your changes.
Prompting, Conversation and Verification
Give clear instructions, refine results and verify important claims.
Lesson 3.1 — The CLEAR prompt pattern
CLEAR stands for Context, Limits, Examples or evidence, Audience and accessibility, and Result format.
Practice
Start with “Write an email about our event.” Then rewrite it using CLEAR. Compare accuracy, usefulness, tone and accessibility.
Lesson 3.2 — Working in stages
Complex tasks are easier to control when divided into stages. A useful sequence is: clarify, outline, draft, check, revise and format.
Example
- Ask the AI to list missing information.
- Approve an outline.
- Draft one section at a time.
- Check claims against sources.
- Request an accessible final format.
Practice
Plan a three-stage conversation for your real-world challenge. Add a human review point after every stage.
Lesson 3.3 — Accessible and inclusive prompting
Do not ask only for “accessible content”. State the needed features: plain language, meaningful headings, short paragraphs, descriptive links, alt text, captions, non-colour indicators and keyboard-friendly structure.
Practice
Choose a dense paragraph. Ask AI to rewrite it for a specific audience at an accessible reading level without removing essential meaning. Check the result yourself.
Lesson 3.4 — Fact-checking and source discipline
Use the Claim–Evidence–Confidence method. List each important claim, find an authoritative source, record whether the evidence supports it and state your confidence.
Practice
Select three claims from an AI answer. Create columns for Claim, Source, Date checked, Evidence, Confidence and Action. Correct or remove unsupported claims.
Productivity, Research and Everyday Work
Reduce repetitive work while protecting accuracy and confidentiality.
Lesson 4.1 — Email, agendas and meeting notes
AI can turn approved notes into a draft agenda, email or action list. Remove confidential details before prompting and check recipients, names, dates, tone, commitments and attachments.
Practice
Create an accessible email with a clear subject, purpose, short paragraphs, action, deadline and contact route. Add an action list with owner and due date.
Lesson 4.2 — Research and synthesis
Start with a focused question and reliable sources. Ask AI to organise information, not to manufacture evidence. Keep direct facts, interpretation and recommendation separate.
Briefing structure
- Question and scope
- Key sourced facts
- Areas of agreement or difference
- Limitations and uncertainty
- Recommendation and next check
Practice
Create a one-page briefing using two authoritative sources. Include meaningful links and the date each source was checked.
Lesson 4.3 — Documents and reports
Readable reports help people decide and act. Use a clear title, executive takeaway, headings, evidence, limitations, recommendations, owners and next steps.
Practice
Turn your briefing into a decision note containing: decision needed, evidence, options, recommendation, risk, accessibility consideration and next action.
Lesson 4.4 — Personal productivity system
A useful workflow is repeatable, understandable and safe. Document the trigger, information needed, AI assistance, human review, final action and recovery route.
Practice
Create a before-and-after workflow card for your real-world challenge. Estimate time or effort before and after, record the safeguard and identify one result to measure.
Final knowledge check
Complete all 16 lessons before treating the assessment as your final result.
Answer all 12 questions. The pass mark is 70%. You may review lessons and try again.
Keep your evidence
Download a plain-text summary of the lesson progress and assessment result stored on this device. Add your practical files before sending evidence to BeAccessible.
Accessibility Compliance Note
This learner room uses semantic headings, expandable lessons, labelled controls, keyboard operation, visible focus, strong contrast, responsive design, reduced-motion support and printable content. Progress is saved locally and securely synchronised for signed-in learners. Learners may request an equivalent assessment or logbook format from BeAccessible.