The ETF developed and implemented VET Governance inventory (2016 -2018). This tool was based on a widely acknowledged analytical framework- Data Collection Tool (DCT) that allowed to produce (20) VET governance profiles in ETF partner countries (PCs) and a cross analytical report focusing on 23 ETF Partner Countries (PC).  Overall, ETF VET Governance inventory builds on Torino process rounds ( 2010-2020).

https://www.etf.europa.eu/en/publications-and-resources/publications/governance-arrangements-vocational-education-and-training

 

As follow up of such work, a new Data Collection Tool version has been developed and implemented on pilot basis in 5 PCs: Albania, Jordan, Kazakhstan, Moldova and Uzbekistan.

 

The updated methodological tool ( 4.0) is based on a battery of 65 indicators on VET & Skills governance and financing, addressing policies, practices, processes and approaching system level. Such ETF methodological approach addresses 7 core VET governance functions:

 

  1. Formulation -and implementation- of overall policy framework- including strategic policy tools-.
  2. Provision of legal, normative and/or regulatory framework.
  3. Management of VET-& skills- provider network.
  4. Operationalization, alignment and coordination of financial arrangements.
  5. Management of public-private partnerships for VET & Skills development
  6. Monitoring, evaluation and review of VET & Skills policies This also include Research & Development.
  7. Management of Information Systems (MIS). This also includes Data and Statistical provision-

 

Further, the tool contains an additional set of process indicators for-self- assessing effectiveness/efficiency of stakeholder’s performance in the rulemaking processes. In this respect, DCT targets institutional-oriented coordination mechanisms (performance of councils, committees, agencies etc.), including roles of stakeholders at sub-national level (regional/local).

 

The new DCT- 4.0 supports on conducting (self) assessments in ETF PCs focusing on governance and financing arrangements. This has been done engaging different categories of policy stakeholders. At least, a minimum of 7 different type of stakeholders has been involved in this pilot exercise:

 

  • Key Ministry or Agency in charge of VET skills policies.
  • Key Ministry participating and/or financing VET & Skill policy making.
  • Key Employers organisation participating in VET & Skills policy making.
  • Key representative of relevant national Trade Union organisation
  • Key representative of National and/or sectoral skill councils/committees.
  • Key representative of Regional or local departments/bodies (to select and propose one representative region per country) dealing with VET and Skills policy development.
  • Key experts on VET & Skills working on and/or with leading institutions.

 

Other policy actors (e.g. VET providers, civil society representatives, etc.) could be also involved in the ETF self- assessment, depending on institutional arrangements linked to PC contexts.

 

Overall, the ETF strategic approach working with PCs is based on underpinning the acknowledged principle of applying -in effective and efficient way- good multilevel -and agile- governance to support performance of VET & Skills polices and systems.

 

The approach looks at the challenging socioeconomic present and future and how the role of governance VET & Skills systems-within such LLL perspective- should be effectively strengthened  in order to promote high-quality provision, sound learning outcomes and smart use of relevant -vocational- skills in labour markets to support Human Capital Development (HCD) in ETF PCs.

 

Due to COVID 19, the self-assessments in the five countries has been conducted on-line (interviews and/or inventory questionnaire). There are three main deliverables per country as results of the hard work done by ETF VET Governance team and national experts (April-December 2020):

 

  • Country Blogs in Openspace.
  • Updated VET Governance country profiles.
  • Self- assessment reports  

 

Very soon we will make visible all these results. Please, be tuned!

You can access to methodology document attached:

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