Competition in the training market Editors Tom Karmel Francesca Beddie Susan Dawe


Suggestions for a quality framework in Australian VET



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Suggestions for a quality framework in Australian VET


The analysis developed in this paper suggests that quality signals are important in a fully contestable and competitive training market. A quality framework in VET should address risks of information asymmetry, ensure providers’ quality signals are recognised and support quality improvements in Australian VET. I outline this framework below under six sub-headings: context, purposes, values, object, subject and standards. My suggestions are based on a substantial body VET research.

Context: What kind of contestability and competition is emerging?

The training market and flexible coordination


Australia is already implementing a model of flexible coordination through recent COAG agreements that have some parallels to Europe. The national project is ‘skill building’. With the global financial crisis eating into iron and coal export markets, it makes sense to invest in our third largest export earner, education, and perhaps, promote ‘Skill-building Australia’ as a brand in the global skills market.

The National Skills and Workforce Development Agreement, with complementary agreements in school education, defines the structure of the contestable training market (Council of Australian Governments 2008). The Bradley Review elaborates some details. Convergence in these recent policy developments suggests the landscape for post-school education and training may be:



  • a national market in skills

  • a ‘quality-centred’ steering mechanism that monitors performance outcomes against specified indicators and is linked to funding

  • new nomenclature designating a division of labour in skill-building, making AQF level 5 and above as ‘tertiary education’ and up to level 3 as ‘training’.

Training market embedded in networked governance


Training markets and complex networks are two sides of the same coin. A market is a reified way of talking about networked communities that must achieve publicly endorsed agreements as a basis for practice. Such governance networks shape the context in which market relations are embedded and sustained.

The character of contestability and competition in the skills market will be framed by institutional rules, agreed and codified by policy-makers, but realised through day-to-day negotiations with VET stakeholder communities and their lived conventions. The history of VET market reform illustrates these push–pull processes.

The quality of this training market and its quality processes will be an outcome of government and VET stakeholder communities working together towards already endorsed goals, outcomes and targets. It will be shaped by negotiation of policy values and stakeholder choices related to the following issues:


  • Positioning in the market: in the skill market, how will VET stakeholders position themselves relative to users, other agencies in VET, and universities, schools and community providers?

  • Participating in decisions about quality: in the decision processes that will define ‘quality’ in tertiary education and in training, how will VET stakeholders project and negotiate their value propositions?

  • Practical resource mobilisation: how will VET stakeholders mobilise resources to do this work and project a distinct value proposition about VET practice? What resources are available through government, and through VET stakeholders’ own resources.

Competition and collaboration


Market coordination operates through interlinked competitive and collaborative practices. Competition can be a zero-sum struggle for resources. This occurs in contexts of scarcity. Yet skill-building targets and learner entitlements suggest that managing abundance and mobilising learner demand may also be challenges.

Competition also prompts collaboration. Given trust, comparison between providers (for example, benchmarking) can spur good practice as a kind of cooperative ‘race for quality’. Acknowledging difference can also encourage collaborative partnerships, in which different providers and their resources are combined into consortia. Evidence of such productive partnering already exists.


Purposes: Why have quality signals?


The purpose of quality frameworks is to harness the resources embedded in VET practice to the benefit of the national skill-building project. This model should:

  • institutionalise values that recognise VET practice and build trust

  • assure provider quality signals through explicit evidence-based processes

  • steer collaborative and competitive activities towards quality improvements in VET as a global–local skill-builder

  • mobilise practitioner expertise and VET learning cultures as distinct and valued resources within national skill-building

  • address stakeholder hopes for better consultation and a more positive culture in VET (Guthrie 2008).

Values: What is valued in the design of quality signals?


Currently the Australian VET quality framework values control and continuous improvement. The optional ‘excellence criteria’ in the framework provide a focus for providers wanting to actively improve the quality of their training. However, its main features—continuous improvement, three quality indicators, a specific focus on registered training organisations but not other stakeholders and policy processes, and limited acknowledgment of VET practitioner contribution—constrain the development of quality in VET.

In the proposed post-school landscape, a preferred model would value the distinctive contribution that VET makes to Australian education and training. The Bradley Review sets the groundwork for this approach by acknowledging the contribution of VET in enhancing educational access (particularly amongst vulnerable groups) and sustaining high levels of user satisfaction. The Bradley report calls for VET to project its distinctive mission and also asks that this distinctive resource embedded in VET practice not be lost in the new post-school landscape.

The challenge is to create institutional rules that support information flows about quality in VET between agencies in market and governance relations by:


  • Explicitly acknowledging values of ‘commitment’ and ‘breakthrough’: this endorses open access developments that recognise the contributions and accountabilities of all stakeholders in Australia’s skill-building project and encourage training that addresses the complexities of working lives in an era of complex choices and dilemmas. It may also help to mobilise the range of public and private resources necessary to sustain the national skill-building agenda by offering a more diversified range of VET programs and qualifications than currently exists.

  • Recognising that distinctive VET values are embedded in VET practice: currently this is an unacknowledged and largely unrecognised resource. It should be articulated as a value proposition and institutionalised through quality signals and frameworks.

  • Affirming VET practice that supports distinctive VET learning cultures, partnership-working, reflective researching and developing supportive organisations: this applied adult education expertise is now evident across public and private providers, although its distribution is not well researched.

  • Supporting professional renewal in VET so that ‘applied adult education’ expertise is consolidated as a sustainable human resource: this would make VET capability available as an investment choice and knowledge base for learners, providers, industry, communities and government.

Object: What is observed and represented through quality signals?


VET practice is an outcome of interconnected activities and decision-making by networked agencies. This means that what needs to be monitored is not just training providers, but the processes and agencies that contribute to VET resources and activities. These include industry contributions (in generating jobs), governments (in allocating funds) and community support through families and firms (in encouraging learner participation).

The conceptualisation of indicators should focus attention on:



  • training activities and resource mobilisations that can sustain distinctive VET learning cultures that value ‘breakthrough’

  • stakeholder (including VET practitioners) support and participation in decision-making that values ‘commitment’

  • capacity-building and organisational capability development that sustain, enhance and generalise applied adult education expertise in VET.

Subject: Who is involved in decision-making about quality signals?


All VET stakeholders are involved in decision-making that makes a difference to VET practice. It means that decisions about the design of quality signals must include VET practitioners, as well as industry, peak training bodies and government. VET practitioners provide a particular perspective on VET and the nature of VET practice. These insights, which include in-person understandings of the challenges that learners face, are largely unavailable to other stakeholders.

The Tertiary Education Accreditation, Quality and Regulatory Agency proposed by the Bradley Review must have VET representation. This body’s task is to advocate for higher-level training that mobilises VET learning cultures to support industry-relevant training; its role is also to create trainer learning pathways that develop, credential and quality-assure programs and qualifications in applied adult education expertise. The National Quality Council should also include VET practitioners. The National Quality Council would then be in a position to advocate for the distinctive VET approach to work-related learning and applied adult education, alongside specific industry requirements in skill development. Such advocacy would represent the value of applied adult education expertise in training and its benefits for all VET stakeholders.



The categories of quality signals endorsed by these quality agencies must be meaningful across all stakeholder communities. Familiar quality signals that have everyday currency include:

  • Provider classifications: ‘university’ is defined by research-informed teaching. What term captures high-quality industry training?

  • Learning culture classifications: how might school, university, VET higher education, training and community learning cultures be distinguished?

  • Qualifications: VET qualifications based on industry standards make sense for industry and learners who seek work-specific skills. They are less appropriate for learners seeking more generalised work-related and applied adult education. Freeing qualifications up from the strictures of training packages and building VET practitioner skills would ensure appropriate contextualisation of courses and qualifications.

  • Teaching qualifications: currently teaching qualifications are either VET competency-based (certificate IV, diploma) or university curriculum-based (mostly school focused BEd, MEd, graduate-entry DipEd). Few qualifications recognise expertise in applied adult education, nor its relevance to lifelong learning across diverse settings and roles.

  • Qualification/career pathways: pathways give strong messages about the value of expertise in jobs that can be attractive to recruits. A qualification pathway (certificate IV, diploma, bachelor) in applied adult education is an important addition that may help to assure quality in VET and assist in VET recruitment.

  • Star ratings: as indicated on white goods or via ISO ticks, these may be helpful quality signals for some consumers, but they give culturally specific messages about the product. They may be more meaningful in some communities than others. Once established, the familiar signals noted above may be more helpful to learners and industries—other than manufacturing.

Standards: What are appropriate ways of measuring quality signals?


The methodology underpinning the quality framework should be focused on good practice in VET, be agreed by VET stakeholders, and steer quality improvements that enable VET to work towards national targets. The European indicators of quality in VET (Seyfried 2007) could be a useful starting point for discussion. These are of three types:

  • Overarching indicators: these support and encourage the development of quality signals in VET. The two proposed are: ‘Share of VET providers applying effective internal QA systems’; and ‘Investment in trainers and teachers in VET’.

  • Context indicators: these support progress towards policy goals, recognise agencies’ (including policy) interconnected efforts and responsibilities, and establish baseline data.

  • Specific indicators: these address:

  • inputs: focusing on resource mobilisations under the control of VET actors and policy-makers and have a direct effect on activities and processes in VET.

  • processes: difficult to monitor, but focusing on learning cultures and innovative teaching best monitored through qualitative and narrative research.

  • outputs: the direct result of VET activities influenced by the way inputs and processes are organised.

  • outcomes: focusing on results that are only partly and indirectly consequences of the VET system and also results of other allied systems and structures.

A distinct mission for VET


Contestability and competition in a context of information asymmetry present risks for public and private VET providers, but also opportunities. These dilemmas can be addressed if stakeholders recognise that quality signals, with appropriate quality assurance, support information flows about what is ‘good’ in VET and enable flexible coordination of the national network of VET agencies.

Research suggests that VET could project a specific value proposition to users in the national skills market. VET capacities and capabilities in applied adult education practice, which underpin the distinctive character of VET practice, are significant but unacknowledged resources. The feasibility of projecting this value proposition into the training market will depend on agreements between VET stakeholders, along with professional renewal that consolidates and sustains applied adult education expertise in VET.




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