The Truth for RTO Owners
I have spent more than 15 years teaching in Australia as a practicing, qualified VET trainer and assessor. I have also run eight campuses and managed more than 200 trainers.
That experience shapes how I think about the current search for AI expertise. The market is full of people who can demonstrate AI tools. Far fewer understand how to teach, assess and make defensible judgements about competence within vocational education and training.
That difference matters.
I have authored, trained and assessed qualifications in Applied Blockchain, Machine Learning, and the intersection of the two, including the Diploma of Applied Artificial Intelligence for Business (11321NAT) and the Certificate IV in Applied Artificial Intelligence for Business which is focused on AI Literacy (11414NAT). My teaching and assessment experience also spans Business, Management and Leadership. These are not separate interests: organisations need people who can connect emerging technology to sound decisions, workplace practice and measurable capability.
AI knowledge matters. In VET, the ability to assess competence matters just as much.
The difference between using AI and understanding it
AI literacy is not a demonstration of how quickly someone can produce an answer with a tool. It is the ability to understand what the system can and cannot do, evaluate its output, and apply human judgement in context.
For a trainer and assessor, that literacy must reach into the learning and assessment design. Can learners explain their reasoning? Can they evaluate an AI-generated response rather than simply accept it? Can they apply knowledge to a workplace situation and demonstrate what they know? Can they evaluate compliance to Ethical and Trustworthy Principles of AI?
These questions go beyond tool familiarity. They go to the quality of the evidence on which a competency decision rests.
I explored this challenge in “Your AI Course Is on Scope. But Who Is Actually Qualified to Deliver It?”. The title asks a question RTOs should consider carefully: being able to talk about AI is not the same as being qualified, experienced and capable of delivering and assessing learning in a VET setting.
Assessment integrity is designed, not improvised
Generative AI has changed the conditions in which learners produce work. That does not make assessment integrity impossible. It does mean assessment needs to be designed with greater care.
A polished submission is not, on its own, proof of a learner’s competence. The assessment needs to create a sound basis for judgement: evidence that is relevant to the requirements, and opportunities for the learner to show understanding, application and reasoning. This is where the trainer and assessor’s professional judgement is indispensable.
The answer is not simply to ban tools or rely on detection. It is to build assessment strategies that make the learner’s competence visible, and to ensure assessors can interpret the evidence fairly and consistently.
That principle sits at the centre of my article “Assessment Integrity by Design”. I also recommend that anyone responsible for VET delivery review ASQA’s guidance on responsible AI use in VET.
Why VET depth changes the conversation
A trainer and assessor does more than explain a subject. The role requires a working understanding of how training, assessment and competency decisions fit together, and how those decisions connect to the qualification and its intended outcomes.
My experience includes ASQA and TEQSA accreditation and submissions, AQF alignment, assessment strategy and mapping, and the development of assessor guides and tools. That regulator-facing experience informs how I approach delivery: with attention to the framework, the evidence and the practical learning experience, not only the content.
This is also why instructional design matters. Good learning is not a stack of information. It is a structured pathway that helps people build and demonstrate capability. In “What Does an Instructional Designer Actually Do?”, I describe the work behind that structure: joining the dots between complex subject matter, learning outcomes and practical application.
What to look for when engaging a Trainer and Assessor
If your organisation is seeking a Trainer and Assessor for AI or another complex subject area, look beyond fluency with the latest platform. Consider whether the person brings:
- Genuine VET delivery and assessment experience, not just subject-matter familiarity.
- The ability to make complex ideas teachable, and connect them to learners’ professional contexts.
- Sound assessment judgement, including the ability to think critically about the evidence a learner presents.
- A broader perspective on business and management, so emerging technologies can be taught in relation to workplace practice.
- Regulatory and qualification awareness, where the engagement requires alignment with an accredited training context.
This is not about finding someone who claims to know everything about a fast-changing field. It is about finding a qualified practitioner who can teach with clarity, assess with rigour and keep learning design grounded in real capability.
The technology will continue to change. The foundations of quality training remain: clear outcomes, purposeful learning, credible evidence and professional judgement.
If you are looking to engage a Trainer and Assessor with experience across AI, Applied Blockchain, Machine Learning, Business, Management and Leadership, I would be glad to connect. You can learn more at marcus-xavier.io or contact me directly at marcus@marcus-xavier.io to discuss a trainer or assessor engagement.
Facebook adaptation note: Shorten the article to a few paragraphs focused on my VET experience and the distinction between AI tool use and assessment capability. Remove the article links or convert them to plain-text titles, and use a softer CTA inviting readers to connect or message me.