KI Erasmus+ Projekt

– Industry collaboration: 67% of companies want closer cooperation with vocational schools

5. Educational Institutions & Policymakers – identified needs

Policy review findings: Policymakers recognize the need for structured AI adoption in vocational education.

Please describe the motivation for your project and explain why it should be funded

The rapid advancement of artificial intelligence (AI) is transforming industries and redefining the skills required in the

workforce. However, vocational education struggles to keep pace with these changes, leaving teachers unprepared,

students without essential AI skills, and employers facing a shortage of qualified workers. This project seeks to bridge this

gap by integrating AI-driven learning into vocational education, ensuring that both educators and students are equipped for

the future job market.

A recent survey conducted across four partner vocational schools (involving 40 teachers and 450 students) revealed that

68% of teachers feel unprepared to use AI tools in their teaching, while 72% of students express interest in AI but lack

access to relevant learning resources. Additionally, 81% of employers in AI-driven industries report difficulties finding

graduates with the necessary digital competencies. These findings highlight the need for targeted AI training, curriculum

modernization, and stronger industry-education collaboration.

Why this project should be funded?

This project aligns with the Erasmus+ priority of „Addressing digital transformation“ by equipping vocational education with

AI-driven learning tools and methodologies.

Funding this initiative will:

1. Bridge the AI skills gap – By training teachers and providing students with hands-on AI experience, the project ensures

that vocational graduates meet evolving job market demands.

2. Enhance inclusivity in education – AI-powered personalized learning will support students with diverse needs, making

education more accessible and effective.

3. Strengthen industry collaboration – Employers will actively shape vocational training, ensuring that education aligns with

workforce requirements.

4. Support policy development – The project will provide policymakers with practical insights and frameworks for AI

integration in vocational education.

5. Create sustainable and scalable Impact – The development of AI toolkits, digital learning modules, and an online

resource-sharing platform will benefit institutions beyond the immediate project partners.

By addressing digital transformation in vocational education, this project will modernize teaching, empower students, and

enhance workforce readiness—ensuring a future-proof education system that fosters innovation, inclusivity, and economic

growth.

How does the project address the needs and goals of the participating organisations and the target groups ?

The project „New Approaches to Learning with AI in VET“ is designed to directly address the needs and goals of

participating organizations and target groups by focusing on enhancing digital competencies, modernizing educational

practices, and aligning training with industry demands. This will be achieved through targeted actions, such as the

development of AI-based teaching tools, personalized learning experiences, and fostering collaboration between schools,

employers, and policymakers.

1. Addressing the needs of participating organizations:

– VET Institutions: Partner schools face the challenge of keeping pace with rapidly evolving technology, particularly AI. The

project provides AI-integrated curricula, digital tools, and resources that allow institutions to modernize their teaching

practices and meet the digital transformation priority set by Erasmus+.

– Industry partners: Employers need graduates equipped with AI-related skills to succeed in an increasingly digital

workplace. This project helps institutions collaborate with industry partners to tailor training programs to real-world job

EN

6 / 48Call 2025 Round 1 KA2

KA210-VET – Small-scale partnerships in vocational education and training (KA210-VET)

Form ID KA210-VET-5719CED7 Deadline (Brussels Time) 05 Mar 2025 12:00:00

requirements, ensuring graduates are job-ready with relevant skills.

– Policymakers: The project supports policymakers in their goal to develop frameworks and policies for AI integration in VET.

The project will create valuable data and insights on best practices, which can be shared with policymakers to help them

shape effective strategies for integrating AI into the education system and ensuring that technology adoption benefits all

stakeholders.

2. Addressing the needs and goals of target groups:

– VET teachers: Teachers are central to the success of any educational innovation. Through this project, 40 teachers will

receive training and ongoing professional development to integrate AI tools effectively into their teaching. This will empower

educators to enhance student engagement and personalize learning experiences, which in turn aligns with the Erasmus+

priority of addressing digital transformation. Teachers will also have access to a digital toolkit and resources, enabling them

to stay updated with the latest AI advancements and adapt to new teaching methodologies.

– VET students: Students are the primary beneficiaries of this project. The project aims to provide AI-driven learning

environments that offer personalized feedback and interactive content, catering to individual learning needs. This will

prepare them for the AI-driven job market by providing them with the digital and AI skills needed to thrive in the modern

workforce.

– Students with diverse learning needs:The project integrates AI-based accessibility tools that cater to students with different

learning needs, including those who require adaptive learning paths or real-time support.

– Employers and industry stakeholders: The project directly addresses the industry’s need for a skilled workforce with AI

competencies.

What will be the benefits of cooperating with transnational partners to achieve the project objectives ?

Cooperating with transnational partners will bring numerous benefits that are critical for the successful achievement of the

project objectives. By leveraging the expertise, perspectives, and resources from partner organizations across different

countries, the project will gain a more comprehensive and innovative approach to integrating AI in vocational education.

Here’s how cooperation with transnational partners will enhance the project:

1. Sharing best practices and knowledge

Transnational cooperation allows for the exchange of best practices and lessons learned from different educational systems

and technological advancements. Each partner institution brings unique insights into how AI is being integrated into

vocational education in their respective countries, which will help improve the overall project outcomes.

2. Access to diverse expertise

By working with transnational partners, the project can tap into a broad range of expertise in both education and AI

technology. This includes insights into AI tools, educational technologies, and the specific needs of different student groups,

including those with disabilities or learning challenges.

3. Enhancing inclusivity and accessibility

Different countries and institutions have varying levels of resources, access to technology, and approaches to inclusion in

education. By collaborating with partners from diverse contexts, the project can ensure that AI-powered solutions are

inclusive and accessible to all students, regardless of their socio-economic background, disabilities, or learning preferences.

4. Strengthening industry and education links

Partnerships with organizations in different countries also provide opportunities for closer collaboration between education

and industry. Different countries’ industries may have varying demands for digital and AI skills, and by engaging with

international partners, the project can align vocational training with the needs of a broader range of employers and sectors.

5. Greater impact and sustainability

By engaging multiple countries in the project, the potential impact of the results will be significantly amplified. The

development of AI-driven teaching resources, toolkits, and online platforms will have a broader reach, affecting more

institutions and educators across Europe. Furthermore, this transnational collaboration increases the likelihood that the

project’s outputs will be sustainable and scalable, as different countries can adopt, adapt, and expand the tools developed

during the project.

How does the project address the horizontal priorities ?

The project addresses several Erasmus+ horizontal priorities, ensuring it aligns with key educational goals like digital

transformation, inclusion, and teacher and student participation.

1. Digital transformation: The project directly focuses on digital transformation by enhancing the digital skills of both VET

teachers and students. It modernizes teaching methods with AI-powered platforms, providing personalized learning that

adapts to students‘ needs, preparing them for AI-driven industries.

2. Social inclusion: The project promotes inclusive education by developing AI tools that cater to diverse learning needs,

EN

7 / 48Call 2025 Round 1 KA2

KA210-VET – Small-scale partnerships in vocational education and training (KA210-VET)

Form ID KA210-VET-5719CED7 Deadline (Brussels Time) 05 Mar 2025 12:00:00

including those with disabilities or different learning styles. It ensures equal access to education for all students, regardless

of their socio-economic background, by using AI to bridge the digital divide.

3. Environmental sustainability: The use of digital tools reduces reliance on paper and promotes sustainable learning

practices. Virtual platforms and online resources minimize the environmental impact of education, contributing to the

greening of educational systems.

4. Equity and non-discrimination: By providing personalized learning and AI-powered tools, the project ensures that all

students, including those with special needs or from disadvantaged backgrounds, have equal opportunities to succeed in

vocational education.

5. Gender equality: The project supports gender equality by offering equal access to AI tools and encouraging both female

and male students to engage in AI technologies, helping reduce the gender gap in STEM fields.

This project addresses key Erasmus+ priorities by ensuring inclusive, equitable, and innovative education, preparing both

VET teachers and students for the digital future while fostering participation and equal opportunities for all.