On this page:

1. Announcement to discontinue sales of Training and Assessment Resources
2. Resources Robot - Coming in 2026
3. A Guide to Using Chat GPT to Update Training and Assessment Resources

 

Announcement to discontinue sales of Training and Assessment Resources

We are announcing our decision to discontinue sales of training and assessment resources, in alignment with industry shifts, ASQA expectations, and our own strategic priorities.

Sales of our training and assessment resources will end on Friday December 12^th, 2025

Why this change is happening
ASQA is encouraging RTOs to develop learner-cohort–specific materials. In line with this shift, and because we can’t predict when a unit will be superseded, we’ve chosen to set a clear cutoff date for sales.

What this means for you

• You can continue to purchase resources until 11:59pm Friday December 12^th, 2025, at a significantly discounted rate.
• All current clients will still receive full support while the unit remains current.
• Our Audit Warranty will remain in place until the unit is superseded, after which it will expire.

Once a unit is superseded
We’ve created a practical help article (scroll down) showing how to use ChatGPT to adapt your existing resources for a new unit of competency. This guide covers:

• How to identify the specific changes needed.
• Prompt structures for ChatGPT to work effectively with your material.
• Quality control tips to ensure compliance and learner relevance.

 

Coming Soon - Resource Robot

Say goodbye to the complexities of course and assessment creation. Resource Robot harnesses the power of AI to help you create custom, fully mapped, and up-to-date training resources tailored to your RTO, learner cohort, and industry. Faster, easier, and more consistent than ever. Lean into the expertise of your trainers and assessors, and get more done with the time you have. Launching mid-2026—stay tuned!

Would you like to know more?

 

A Guide to Using ChatGPT to Update Training & Assessment Resources

This guide is designed as a practical, good-faith resource for our valued clients — particularly those who have worked with us for years and now face the challenge of adapting to a superseded unit of competency.

We know that ASQA’s shift toward RTO-created, learner-specific materials represents both a challenge and an opportunity. While we will no longer be producing new off-the-shelf resources for superseded units, we want to help you make the transition as smooth as possible — without having to start from a blank page.

Using ChatGPT, you can accelerate the process of updating existing materials to align with new unit requirements, while retaining your unique delivery style, contextualisation, and learner focus.

This isn’t about “letting AI do it all” — it’s about using a powerful tool strategically, with your professional judgment as the final filter.

We recognise that the move away from off-the-shelf resource production is a significant shift — not just for us, but for every RTO we’ve worked with.
Many of you have been with us for years, trusting our resources to support your learners and maintain compliance.

While we’re no longer creating or updating resources once a unit is superseded, that does not mean we’re stepping back from supporting you.
This guide was developed as a practical, good-faith tool to help you navigate this transition with confidence, clarity, and efficiency.

Our goals in providing this to you are simple:

• Respect for your investment — We know you’ve spent time and money contextualising our resources, and we want you to retain that value wherever possible.
• Partnership over transactions — Our relationship is more than sales; it’s about helping you meet your obligations and deliver quality outcomes.
• Empowering your capability — We’re giving you the tools, processes, and examples to adapt independently, while knowing we’re still here if you need guidance.

You’ve always been more than a client list to us — you’ve been collaborators, advocates, and part of our growth story.
This guide is our way of showing that, even as our product offerings evolve, our commitment to clarity, care, and competence remains unchanged.

If you use this guide to update your resources, we’d love to hear how it worked for you — and if there are improvements or additional examples that would make it even more valuable, please let us know.

Because our role has always been the same: helping good people do complex jobs well.

When to Use This Guide

Use this approach when:

• A unit you currently deliver has been superseded and replaced with a new code and requirements.
• You already hold quality contextualised resources for the old unit and want to retain as much of that work as possible.
• You do not plan to purchase a new off-the-shelf resource (either because it’s not available or by choice).
• You want to save time on rewriting while maintaining compliance and alignment with the Standards for RTOs.

Example:
If you have been delivering UETDRMP014 and it’s now superseded by UETDRMP018, you can use ChatGPT to:

• Map the differences between the two units.
• Revise your assessment tasks to meet updated performance criteria.
• Ensure the skills and knowledge evidence is current and reflects industry expectations.

What You’ll Need

Before you start, gather the following:

1. Your Current Resources
• Trainer guides, assessment tools, student workbooks, mapping documents.
• Editable formats (Word, Google Docs, or similar).
2. The New Unit of Competency
• Download the official unit from training.gov.au in PDF or HTML.
• This is your primary reference for updated performance criteria, elements, performance and knowledge evidence, and assessment conditions.
3. Access to ChatGPT
• We recommend ChatGPT Plus (paid version) for faster and more reliable processing, especially with longer sections of content.
• While the free version can work, it may require breaking the process into smaller steps.
4. A Quality Control Mindset
• You remain responsible for the compliance and appropriateness of the final resource.
• AI can accelerate rewriting but can also introduce subtle inaccuracies, outdated information, or generic phrasing if unchecked.

 

Step 1 — Identify the Changes

Before ChatGPT can help, you need to know exactly what has changed between the old and new units of competency.
This step is critical — the AI can’t make sound decisions if it’s given incomplete or ambiguous instructions.

Why This Step Matters

If you skip or rush the comparison stage:

• You risk carrying over outdated or non-compliant tasks into your new resource.
• You may miss new performance criteria, performance or knowledge evidence, or assessment conditions that could cause a compliance gap at audit.
• ChatGPT may fill gaps with generic assumptions that don’t fit your learner cohort or industry context.

How to Compare Units Effectively

1. Obtain Both Units in Full
• Get the old and new units of competency from training.gov.au.
• Keep them side-by-side (two browser tabs or printed copies).
2. Highlight the Key Sections
   For each unit, identify:
• Elements
• Performance Criteria
• Foundation Skills
• Range of Conditions (if present)
• Performance Evidence
• Knowledge Evidence
• Assessment Conditions
3. Mark the Changes
• Use colour-coding: e.g.
• Green for unchanged or directly transferable requirements.
• Yellow for partially changed requirements.
• Red for entirely new or significantly altered requirements.

Example Comparison Table

Section	Old Unit (UETDRMP014)	New Unit (UETDRMP018)	Change Type	Notes
Performance Criteria 1.3	“Confirm worksite hazards and controls”	“Confirm worksite hazards, environmental risks, and controls”	Partial	Expanded to include environmental risks — need to update hazard assessment task.
Knowledge Evidence	“Procedures for site safety”	“Procedures for site safety, environmental protection, and waste management”	Major	Add new questions/activities on environmental protection and waste management.
Assessment Conditions	“Must be assessed in a workplace or simulated environment”	Same	None	Can keep existing simulated workplace setup.

Pitfalls to Avoid

• Over-relying on keyword searches — “Environmental” might appear elsewhere but in a different context; always read the full clause.
• Assuming unchanged sections require no review — wording may be subtly different in ways that affect intent.
• Ignoring Foundation Skills — auditors can (and do) check that these are covered.

Why This Matters to ChatGPT

When you later prompt ChatGPT, you’ll be telling it:

• Which sections are fine as-is.
• Which require partial rewriting.
• Which require complete redevelopment.

The clearer your instructions, the better the output — and the less editing you’ll need to do.

 

 

Step 2 — Prepare Your Materials for ChatGPT

Once you know exactly what’s changed between the old and new units, the next step is to prepare your existing resources so ChatGPT can work with them efficiently and safely.

This is where a little upfront organisation will save you hours of clean-up later.

Why This Step Matters

If you give ChatGPT content that’s messy, bloated, or too large in one go, it will:

• Misinterpret structure (e.g. merge questions into statements).
• Drop important sections entirely because of token limits.
• Invent (“hallucinate”) missing details to fill perceived gaps.
• Lose your original tone, layout, and contextualisation.

The goal here is to give ChatGPT clean, clearly labelled chunks so it can process and rewrite them without confusion.

1. Break Your Resource into Manageable Chunks

AI works best with focused, specific input.

• Work with one section at a time — e.g. one Element, one Performance Criterion, or one Assessment Task.
• For long tasks, split into logical parts (e.g. Part A, Part B).
• Keep each chunk under ~1,500 words for more accurate rewriting.

Example:
Instead of pasting your entire assessment tool, just copy Task 3: Hazard Identification Activity along with the related mapping notes.

2. Label Each Chunk Clearly

ChatGPT needs context to rewrite accurately.

• Start with a label:

Current Resource Section: “Task 3 – Hazard Identification Activity”
Mapped To: UETDRMP014, Performance Criteria 1.3 and 1.4

This makes it easier for both you and ChatGPT to keep track of where each rewritten section fits in the new unit.

3. Remove Sensitive or Irrelevant Information

Never feed ChatGPT personal or confidential data.

• Delete learner names, assessor details, internal emails, or proprietary formatting codes.
• Remove answers from model solutions unless you specifically want ChatGPT to rewrite them.

Example:
Instead of:

“Assessor John Smith to observe Learner Mary Brown on-site at XYZ Electrical.”
Change to:
“Assessor to observe learner on-site at a workplace.”

4. Include Relevant Reference Material

For each chunk, copy in the exact requirement from the new unit that the section must meet.

• This keeps ChatGPT anchored to the compliance standard.
• It stops it from drifting into generic, non-compliant wording.

Example input structure for ChatGPT later:

Old Content: [paste your resource section here]
New Unit Requirement: [paste the relevant element/performance criteria/knowledge evidence from training.gov.au]

5. Keep Formatting Simple

Complex formatting (tables, multiple columns, embedded images) doesn’t paste well into ChatGPT.

• Convert to plain text or a simplified Word format before pasting.
• Reapply final formatting after ChatGPT outputs the updated text.

Pitfalls to Avoid

• Pasting too much at once — ChatGPT may ignore or summarise parts instead of rewriting them.
• Giving no context — Without telling it what the content relates to, you risk non-compliant rewrites.
• Forgetting to anonymise — This can expose sensitive information unnecessarily.

 

 

 

Step 3 — Craft Your ChatGPT Prompt

Your prompt is the instruction you give to ChatGPT — and it’s the single biggest factor in whether the AI produces something accurate, compliant, and usable.

Think of it as briefing a junior instructional designer:

• If you’re vague, they’ll make assumptions (often wrong).
• If you’re specific, they’ll produce exactly what you need — faster and with less editing.

Why Prompt Quality Matters

ChatGPT is not a compliance expert.
It only knows what you tell it in the prompt and what patterns it has learned from its training data.
If your instructions are clear, structured, and specific to the unit of competency requirements, the output will be far more accurate and relevant.

Prompt Structure Overview

A strong prompt for this task should include:

1. Your Objective
• e.g. “Update this resource to meet the requirements of [New Unit Code & Title].”
2. The Source Material
• The relevant section from your current resource.
3. The Target Requirements
• The exact elements, performance criteria, or knowledge evidence from the new unit.
4. Your Constraints & Style Guide
• Keep existing contextualisation.
• Maintain the same tone and reading level.
• Avoid adding unrelated content.
5. Any Special Instructions
• e.g. “If there is missing information required for compliance, flag it rather than inventing it.”

Example Prompt — Partial Rewrite

(When the section is mostly correct but needs to be updated for small changes)

You are an instructional designer specialising in vocational education and compliance with the Standards for RTOs.

I have a resource section for the old unit UETDRMP014 that I need to update to meet the new unit UETDRMP018.

Current Resource Section:
[Paste your content here]

Relevant Requirement from New Unit:
[Paste the exact element/performance criteria/knowledge evidence here]

Please update the section to:

• Meet the new requirement exactly.
• Keep all existing industry-specific contextualisation.
• Maintain the same tone, reading level, and activity structure.
• Flag any missing information needed for compliance instead of inventing it.

Example Prompt — Complete Rewrite

(When the section doesn’t meet the new requirement at all)

You are an instructional designer specialising in vocational education and compliance with the Standards for RTOs.

I have a resource section for the old unit UETDRMP014. The content does not match the requirements for the new unit UETDRMP018 and must be rewritten from scratch.

Current Resource Section:
[Paste your content here]

Relevant Requirement from New Unit:
[Paste the exact element/performance criteria/knowledge evidence here]

Please rewrite the section to:

• Fully meet the new requirement.
• Use the same level of language and industry terminology as the old content.
• Keep the structure in a trainer/assessor-friendly format.
• Suggest where additional activities, scenarios, or instructions may be required for compliance.

Example Prompt — Mapping Assistance

(When you want ChatGPT to help identify where gaps exist)

I have content for the old unit UETDRMP014 and I need to align it with the new unit UETDRMP018.

Current Resource Section:
[Paste your content here]

Relevant Requirement from New Unit:
[Paste requirement here]

Compare the old content to the new requirement and:

• Identify any missing components.
• Suggest specific changes to bring it into compliance.
• Keep all industry-relevant contextualisation intact.

Pitfalls to Avoid in Prompting

1. Omitting the exact requirement — If you only give ChatGPT the old content, it won’t know what to change.
2. Being vague — “Update this for the new unit” is not enough context.
3. Overloading the prompt — Give only one section or task at a time to avoid confusion and loss of detail.
4. Not specifying “flag instead of invent” — If you don’t tell it to flag missing info, it might fabricate details.

 

 

 

Step 4 — Review the Output

Even the most carefully crafted ChatGPT prompt will only get you most of the way there.
The final responsibility for compliance, accuracy, and relevance rests with you — just as it would if a human instructional designer prepared the draft.

Think of ChatGPT’s work as a high-quality first draft, not a ready-to-use resource.

Why This Step Matters

If you use ChatGPT’s output without proper review, you risk:

• Compliance breaches — missing required criteria, incorrect terminology, or outdated standards.
• Generic or vague content — AI tends to smooth over details in a way that weakens assessment validity.
• Misalignment with your learner cohort — activities may not reflect your actual delivery context or industry conditions.

Signs of “AI Drift” to Watch For

These are common ways AI output can stray from your intent:

Drift Type	Description	Example	Fix
Generic Language	Uses vague, catch-all statements instead of industry-specific terms.	“Follow safety procedures” instead of “Follow the organisation’s SWMS for live-line work.”	Replace with specific, context-relevant terms.
Requirement Skipping	Ignores part of the performance criteria.	New unit says “hazards and environmental risks” but output only mentions hazards.	Compare output to requirement and insert missing parts.
Fabrication	Adds plausible-sounding but false details.	AI adds “must comply with ISO45001” when that’s not in the unit.	Delete invented references, keep only confirmed ones.
Tone Shift	Output sounds more academic or informal than your original.	“It is imperative that…” instead of “You must…”	Edit to match your organisation’s tone and learner level.
Loss of Activity Structure	Combines steps, removes practical tasks, or alters formatting.	Multi-step task becomes a single generic instruction.	Reintroduce original structure and flow.

How to Review for Compliance and Quality

1. Compare Side-by-Side
• Old content vs. ChatGPT output vs. new unit requirement.
• Tick off each requirement as it is met.
2. Check for Evidence Coverage
• Does the activity elicit evidence for all parts of the requirement?
• Does it align with the Rules of Evidence (valid, sufficient, authentic, current)?
3. Check for Assessment Principles
• Does the updated content remain fair, flexible, valid, and reliable?
4. Maintain Contextualisation
• Does it still reflect your delivery mode (e.g. classroom, workplace, blended) and industry examples?
5. Check for Internal Consistency
• Does terminology match across all tasks (e.g. “hazard register” vs. “risk log”)?
• Are any new terms introduced explained properly?

Review Checklist (Print or Save)

Before finalising a rewritten section:

✅ Matches all elements/performance criteria from the new unit.
✅ Covers all relevant foundation skills.
✅ Meets knowledge and performance evidence requirements.
✅ Retains original industry-specific context.
✅ Uses correct tone, reading level, and terminology.
✅ Has clear instructions for assessors and learners.
✅ No fabricated or irrelevant content.
✅ Formatted in line with your resource style.

Example of a Reviewed Rewrite

Requirement from New Unit: “Confirm worksite hazards, environmental risks, and controls before commencing work.”

Old Resource: “Identify hazards and record in hazard register before starting work.”

ChatGPT Output: “Identify hazards and environmental risks, record them in the hazard register, and implement required controls before work begins.”

Reviewer Notes:

• ✅ Environmental risks added.
• ✅ Controls included.
• ❌ Needs contextualisation: specify controls relevant to the work type.

Final Approved Version:
“Identify hazards and environmental risks specific to live-line work, record them in the hazard register, and implement the required controls in accordance with the organisation’s SWMS before work begins.”

 

 

 

Step 5 — Repeat for All Sections

Updating one section successfully is a win — but updating an entire unit’s worth of materials is where the real challenge lies.
The key is to be systematic, consistent, and thorough, so that by the end, your resource is cohesive and audit-ready.

Why This Step Matters

If you update sections in an ad-hoc way:

• You’ll lose track of what’s been updated and what’s still pending.
• Different sections may use inconsistent terms, instructions, or formatting.
• You may miss some unit requirements entirely, creating compliance gaps.

A structured approach means that when you’re done, you can be confident no section was overlooked and everything aligns with the new unit.

1. Create a Tracking Sheet

This can be a simple spreadsheet with the following columns:

Section Name / Task ID	Mapped Requirement(s)	Status	Reviewer	Notes
Task 1 – Risk Assessment	PC 1.1, 1.2, KE 1-3	Updated	Alex	Needs industry example check
Task 2 – Toolbox Talk	PC 2.1	In progress	—	—
Knowledge Assessment Q1–10	KE 4–8	Ready for QA	Sam	—

Status options: Not Started / In Progress / Draft Complete / Reviewed / Final Approved.

💡 Tip: Use consistent naming for tasks so they’re easy to reference in discussion (e.g. “Task 3: Hazard Identification Activity” instead of “Hazard thing”).

2. Maintain a “Living Glossary” of Terms

As you update, record key terms and standardised phrasing.
This ensures:

• “Hazard register” isn’t called “risk log” in another task.
• “Environmental risks” isn’t sometimes “environmental hazards” unless that’s deliberate.

Example glossary entries:

Term	Definition	Notes
Hazard Register	Official record of identified hazards	Always capitalised; aligns with SWMS reference
SWMS	Safe Work Method Statement	Use acronym after first full mention
Environmental Risk	Any condition that could harm the environment	Must include waste management

3. Apply a Uniform Prompting Approach

When multiple people are using ChatGPT to update sections:

• Share a standard prompt template (from Step 3) so the outputs follow the same style.
• Remind team members to include the “flag instead of invent” instruction to avoid fabricated content.

4. Schedule Quality Control Checkpoints

Don’t wait until every section is “done” before checking for consistency.

• Review in batches (e.g. after 5 tasks are updated) to spot drift early.
• Use the Review Checklist from Step 4 each time.

5. Log Compliance Gaps for Follow-Up

If ChatGPT flags missing information (e.g. “This section should include waste management procedures”), log it in your tracking sheet under Notes so it can be addressed before finalisation.

6. Keep Formatting Consistent Until the End

Avoid final design work (page breaks, styling) until all content updates are complete.
This prevents wasted effort if a section needs to be rewritten.

Example Progress Scenario:

• You start with Task 1 – Risk Assessment and use the standard prompt to update it.
• During review, you realise “hazard register” was inconsistently referred to as “risk log” in Task 4 (updated by another team member).
• Because you have a living glossary, you spot and fix the inconsistency before final approval.

 

 

 

Step 6 — Quality Assurance Before Finalising

Once all sections have been rewritten and reviewed individually, the final step is to look at the resource as a whole.
This is where you confirm it’s cohesive, compliant, and ready for delivery — not just a collection of updated parts.

Why This Step Matters

An auditor doesn’t look at your resources in isolation.
They’ll assess the entire package — learner guides, assessment tools, mapping, and supporting documentation — to see whether it meets the unit requirements as a single, integrated system.

Even well-updated individual sections can still fail overall QA if:

• The tone or terminology varies from one section to the next.
• Mapping documents don’t match the updated content.
• Assessment tools and model answers are out of sync.

Final QA Process

1. Re-run the Mapping

• Take the final version of each section and re-map it against the new unit of competency.
• Confirm every performance criterion, knowledge evidence item, and performance evidence requirement is explicitly covered.
• Check that foundation skills are addressed either directly in the content or through the tasks.

2. Check Cross-Referencing

• If an activity refers to another task (“See Task 4 for hazard identification”), confirm the reference is correct after renumbering or restructuring.
• Ensure appendices, diagrams, and charts still match the revised text.

3. Consistency Scan

• Read through the resource in sequence (like a learner or assessor would).
• Look for shifts in tone, style, or reading level.
• Use the living glossary from Step 5 to standardise key terms.

4. Verify Assessment Conditions

• Make sure the updated activities meet all conditions in the unit (e.g. workplace vs. simulated environment, equipment use, observation requirements).
• If the unit specifies “must be assessed in the workplace,” remove any purely classroom-based options unless they’re clearly marked as supplementary.

5. Check Model Answers & Assessor Guides

• Update model answers to reflect changes in tasks, terminology, or compliance requirements.
• Remove any references to outdated legislation, codes, or industry standards.
• Confirm assessor instructions match learner task wording exactly.

6. Audit Simulation

• Pretend you’re the auditor:
• Pick three performance criteria at random.
• Trace where each is addressed in the learner resource and assessment tool.
• Confirm the mapping and the actual content match perfectly.

7. File Hygiene & Version Control

• Save the final resource with a clear version number and date.
• Store editable files in your secure central location.
• Archive the old unit’s resources but keep them labelled for historical reference.

Last-Minute Fixes That Make a Big Difference

✅ Correct inconsistent capitalisation (e.g. “Hazard Register” vs “hazard register”).
✅ Replace placeholder text left in by ChatGPT.
✅ Remove redundant instructions duplicated across tasks.
✅ Double-check that unit codes and titles are correct in all headers/footers.
✅ Ensure legislative references are current and match your jurisdiction.

With QA complete, you now have an audit-ready, fully contextualised resource that meets the requirements of the new unit — and you’ve achieved it by strategically using ChatGPT as a drafting assistant rather than a compliance risk.