- 2019Design
- 2020Design
- 2021Approved/Agreed
- 2022Implementation
Background
Knowing how to deal with artificial intelligence (AI) systems is not only essential for experts. Digital skills for citizens are a prerequisite for a fearless and productive use of AI technologies and for social participation.
It is, therefore, essential to integrate AI competences in education and training at schools, at the workplace (e. g. apprenticeship training), in teaching and at universities. AI has the potential to help learners and educators to make learning more effective and exciting. On the other hand, AI could render obsolete some of the knowledge and skills that are currently at the heart of education and training.
It is, therefore, necessary to develop a strategy for a broad discussion of how education and training can react to these processes of change.
Objectives
The aim of an AI strategy for the development of education and training is to adapt education and training offers and activities in a future-oriented way:
- to strengthen the skills required for the development of AI applications;
- to develop the skills necessary to operate and use AI tools;
- to increase the use of AI applications and tools in education and training.
Description
In 2018, the Federal Ministry of Transport, Innovation and Technology (BMVIT) and the Federal Ministry of Digital and Economic Affairs (BMDW) jointly published the paper Artificial Intelligence Mission Austria 2030. This paper defines seven fields (including qualification and training) that need to be adapted in the future in connection with AI.
Based on this AI mission, parallel working groups were set up in these seven fields in the first half of 2019, involving around 150 experts from science and academia, business and administration.
In two workshops on each field, the experts developed strategic action plans as well as specific options for action, which were presented in an expert paper to the Federal government. This will subsequently serve as the basis for drawing up an AI strategy for Austria, which is not yet available.
For qualification and training, the expert paper summarises five fields of action:
- strengthening MINT (mathematics, computer science, natural sciences and technology) training and AI competence building (up to the upper secondary level);
- integrating AI into teacher training;
- promoting and further developing AI in research and teaching at higher education establishments;
- application of AI by teachers and learners;
- promoting cooperation between science and academia and business and society.
The fields of action are each defined by more specific measures. The issue of education and...
In 2018, the Federal Ministry of Transport, Innovation and Technology (BMVIT) and the Federal Ministry of Digital and Economic Affairs (BMDW) jointly published the paper Artificial Intelligence Mission Austria 2030. This paper defines seven fields (including qualification and training) that need to be adapted in the future in connection with AI.
Based on this AI mission, parallel working groups were set up in these seven fields in the first half of 2019, involving around 150 experts from science and academia, business and administration.
In two workshops on each field, the experts developed strategic action plans as well as specific options for action, which were presented in an expert paper to the Federal government. This will subsequently serve as the basis for drawing up an AI strategy for Austria, which is not yet available.
For qualification and training, the expert paper summarises five fields of action:
- strengthening MINT (mathematics, computer science, natural sciences and technology) training and AI competence building (up to the upper secondary level);
- integrating AI into teacher training;
- promoting and further developing AI in research and teaching at higher education establishments;
- application of AI by teachers and learners;
- promoting cooperation between science and academia and business and society.
The fields of action are each defined by more specific measures. The issue of education and training is also addressed in most of the other six fields, proving that education and training will be a key factor for a future AI strategy.
As a next step, a comprehensive AI strategy for Austria is to be developed on the basis of the results paper. However, a concrete timetable for this is currently not known.
In 2019, recommendations for a national AI strategy were developed on the basis of stakeholder workshops and summarised in a result paper.
In 2020, the development of an Austrian AI strategy has stalled due to the change of government in 2019. The programme of the successor government, which was presented at the beginning of 2020, states that the Federal government's AI strategy includes the clarification of regulatory issues, the creation of infrastructures and the definition of priorities, focusing on the public sector and the business location as well as questions of human dignity and democracy. For the time being, there have been no concrete developments in this regard.
The presentation of the Federal Government's strategy for artificial intelligence (Artificial intelligence mission Austria, AIM AT 2030) by the Ministry for Digital and Economic Affairs (BMDW) and Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) took place in summer 2021 during the Forum Alpbach. Based on the EU's Coordinated Action Plan on AI, it defines the necessary basic principles for trustworthy AI and sets out concrete measures for a functioning AI ecosystem. An explicit component of such an ecosystem is qualification through education and training. The annex to the strategy paper also identifies concrete AI application fields, which include application in education.
The planning of measures includes:
- the expansion of STEM and AI training places and focal points at upper secondary vocational schools (BHS) to meet regional demand, including the revision of relevant curricula at upper secondary level with an increased focus on STEM and AI topics;
- teacher training on AI topics;
- the development of self-checks on the subject area of AI for adult education;
- the development of information platforms on existing AI solutions for the integration of AI tools into teaching and learning processes.
In September 2021 the Council of Ministers requested the responsible ministers to implement the AI measures.
In 2022, the first implementation steps were initiated to anchor the topic of AI in the area of upper secondary vocational schools (BHS). In the current development of a new curriculum generation for the BHS, it is being examined in particular how the topic can be integrated in terms of content. More concrete information or results are not yet available.
In addition, the Ministry of Education is in a process of coordination with the university colleges of teacher education to initiate suitable initial and further training programmes on AI topics for teachers.
Bodies responsible
- Federal Ministry of Digital and Economic Affairs (BMDW) (until 2022)
- Federal Ministry of Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK)
- Federal Ministry of Labour and Economy (BMAW)
Target groups
Learners
- Learners in upper secondary, including apprentices
- Adult learners
Education professionals
- Teachers
Entities providing VET
- VET providers (all kinds)
Thematic categories
Governance of VET and lifelong learning
This thematic category looks at existing legal frameworks providing for strategic, operational – including quality assurance – and financing arrangements for VET and lifelong learning (LLL). It examines how VET and LLL-related policies are placed in broad national socioeconomic contexts and coordinate with other strategies and policies, such as economic, social and employment, growth and innovation, recovery and resilience.
This thematic category covers partnerships and collaboration networks of VET stakeholders – especially the social partners – to shape and implement VET in a country, including looking at how their roles and responsibilities for VET at national, regional and local levels are shared and distributed, ensuring an appropriate degree of autonomy for VET providers to adapt their offer.
The thematic category also includes efforts to create national, regional and sectoral skills intelligence systems (skills anticipation and graduate tracking) and using skills intelligence for making decisions about VET and LLL on quality, inclusiveness and flexibility.
This thematic sub-category refers to the integration of VET into economic, industrial, innovation, social and employment strategies, including those linked to recovery, green and digital transitions, and where VET is seen as a driver for innovation and growth. It includes national, regional, sectoral strategic documents or initiatives that make VET an integral part of broader policies, or applying a mix of policies to address an issue VET is part of, e.g. in addressing youth unemployment measures through VET, social and active labour market policies that are implemented in combination. National skill strategies aiming at quality and inclusive lifelong learning also fall into this sub-category.
Modernising VET offer and delivery
This thematic category looks at what and how individuals learn, how learning content and learning outcomes in initial and continuing VET are defined, adapted and updated. First and foremost, it examines how VET standards, curricula, programmes and training courses are updated and modernised or new ones created. Updated and renewed VET content ensures that learners acquire a balanced mix of competences that address modern demands, and are more closely aligned with the realities of the labour market, including key competences, digital competences and skills for green transition and sustainability, both sector-specific and across sectors. Using learning outcomes as a basis is important to facilitate this modernisation, including modularisation of VET programmes. Updating and developing teaching and learning materials to support the above is also part of the category.
The thematic category continues to focus on strengthening high-quality and inclusive apprenticeships and work-based learning in real-life work environments and in line with the European framework for quality and effective apprenticeships. It looks at expanding apprenticeship to continuing vocational training and at developing VET programmes at EQF levels 5-8 for better permeability and lifelong learning and to support the need for higher vocational skills.
This thematic category also focuses on VET delivery through a mix of open, digital and participative learning environments, including workplaces conducive to learning, which are flexible, more adaptable to the ways individuals learn, and provide more access and outreach to various groups of learners, diversifying modes of learning and exploiting the potential of digital learning solutions and blended learning to complement face-to-face learning.
Centres of vocational excellence that connect VET to innovation and skill ecosystems and facilitate stronger cooperation with business and research also fall into this category.
This thematic sub-category refers to acquisition of key competences and basic skills for all, from an early age and throughout their life, including those acquired as part of qualifications and curricula. Key competences include knowledge, skills and attitudes needed by all for personal fulfilment and development, employability and lifelong learning, social inclusion, active citizenship and sustainable awareness. Key competences include literacy; multilingual; science, technology, engineering and mathematical (STEM); digital; personal, social and learning to learn; active citizenship, entrepreneurship, cultural awareness and expression (Council of the European Union, 2018).
Teachers, trainers and school leaders competences
Competent and motivated VET teachers in schools and trainers in companies are crucial to VET becoming innovative and relevant, agile, resilient, flexible, inclusive and lifelong.
This thematic category comprises policies and practices of initial training and continuing professional development approaches in a systemic and systematic manner. It also looks at measures aiming to update (entry) requirements and make teaching and training careers attractive and bring more young and talented individuals and business professionals into teaching and training. Supporting VET educators by equipping them with adequate competences, skills and tools for the green transition and digital teaching and learning are addressed in separate thematic sub-categories.
The measures in this category target teachers and school leaders, company trainers and mentors, adult educators and guidance practitioners.
This thematic sub-category is in line with the EU policy focus on the digital transition, and refers to professional development and other measures to prepare and support teachers and trainers in teaching their learners digital skills and competences. It also covers measures and support for them to increase their own digital skills and competences, including for teaching in virtual environments, working with digital tools and applying digital pedagogies. Emergency measures taken during the COVID-19 pandemic also fall into this sub-category.