The project aims to enhance the ability of vocational training institutions to teach students sustainable entrepreneurial thinking, improving their employability. It connects institutions with sustainable clothing organisations using a cross-sectoral approach through practical simulation scenarios. By utilising AI algorithms and digitisation, adaptive teaching enables teachers to improve their practical skills through active learning methodologies and systems thinking. The project aligns with the EU Green Deal, Digital Education Action Plan 2021-2027, SDG4 “Quality Education,” SDG8 “Decent Work and Economic Growth,” and the European Education Area strategy by 2025. It addresses critical areas and priorities for sustainable development, innovation, digitisation, and inadequate skills, allowing partners to explore, design, and test concepts and products based on recycling, reuse, and waste reduction, contributing to the circular economy, Green Deal priorities, and new digitalised learning pathways for vocational education and training (VET).
THE TARGET
DIRECT TARGETS:
- Vocational Education and Training (VET) institutes in multimedia and fashion, fashion and electronics, technological sector machinery, and electricity-electronics, marketing and advertising.
- Vocational Education and Training (VET) Teachers.
- Vocational Education and Training (VET) Students.
- Companies in the sustainable and smart clothing sector
INDIRECT TARGETS:
- Society.
- Environment.
- Businesses of all kinds.
General Objective
The SEiSC project’s main objective is to increase VET institutions’ capacity to teach students sustainable entrepreneurial mindsets through virtual simulations and AI to enhance their employability and career development. The creation of networks between VET institutions and organisations working in sustainable fashion and smart clothing aims to enhance the project’s implementation through a trans-sectoral approach concretised in realistic simulation scenarios. The adaptive teaching approach, supported by Artificial Intelligence algorithms that constitute simulation logic, is designed to help teachers increase their practical teaching skills through digitalisation, Design Thinking, Game-based learning, inquiry-based teaching, Active Learning Methodologies (e.g., Simulation-based), and systems thinking.
Specific Objectives
- To efficiently manage the project, ensuring adherence to deadlines and quality standards.
- To identify 12 best practices (2 per country) for teaching sustainable entrepreneurship through virtual simulation and collaborating with sustainable fashion organisations.
- To develop AI-driven branched learning scenarios for sustainable clothing businesses to achieve student competency objectives.
- To create a “Sustainable Adaptive Teacher” training program, certifying 60 VET teachers to effectively prepare students.
- To construct a virtual simulation platform for students to cultivate a sustainable entrepreneurial mindset guided by AI algorithms.
- To disseminate project progress and results to stakeholders, ensuring a lasting impact on the Virtual Community of Practice.
Project’s Result
- Reports regarding innovative strategies and approaches for imparting sustainable entrepreneurship mindsets to students and establishing networks between Vocational Education and Training (VET) institutions and organisations specialising in sustainable fashion and intelligent clothing are of paramount significance.
- Students’ videos.
- Virtual simulation scenarios/algorithms.
- MOOC curriculum and contents; virtual simulation with AI.
- The “Adaptive Teacher’s Guide to teach sustainable entrepreneurship to students”.
- Virtual Community of Practices.
- Training Activity and National Conferences outputs.
Benefits
- Enhancement of Teaching: teachers acquire advanced teaching skills through the AI-supported adaptive teaching approach, improving the overall quality of teaching.
- Development of Practical Skills: teachers and students experience improved practical skills through realistic virtual simulations, contributing to more focused and applicable training in the real context.
- Increased Employability: students acquire a sustainable entrepreneurial mindset, improving their employment prospects and ability to adapt to the needs of the labour market.