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Fostering the use of EduLARP methods on migration topics

2024-1-DE04-KA153-YOU-0002228652024Mobility of youth workersfinalized
Countries: DE|IT|EL|ES · Grant: €108,777.21
Bridging intercultural, intergenerational and social divideInclusion of marginalised young peoplePreventing racism and discrimination

Objectives

Prejudices and stereotypes about migrants and “foreigners” are widespread in media and public discourse and contribute to a growing polarization and stigmatization in European societies. Within this climate and growing fear for the “other” we see an urgent need to fight stereotyping, racism and xenophobia. The youth-pedagogy against populist, racist and antidemocratic attitudes and behaviour needs to interact with their learners on a personal level and can not just focus on knowledge transfer and cognitive procedures. The EduLARP approach (Educational Live Action Role Play) has proven that its merits consist especially on the emotional and self-reflective capacities. In this project the staff of four partners should experienced the use of the EduLARP toolkit "Minosia Labyrinth" (ML). This project first should help them to reflect on their own professional and individual position, their working approach and their structural working-background. Second they should learn from the implementations and an intensive facilitators training course for their own use of the method. The project aimed to support partner-organisations to apply the method independently with their skilled staff. Therefore the partners (youth) educational management should get an additional co-counselling offer to enable them fully and solve all related issues. The project hereby should extend the visibility of ML as non-formal educational method for the youth sector and extend the range of stakeholder-networks as well as the direct partner-network of the education institutions and groups that will make use of ML. Additionally the project aimed to include the exchange of complementary creative non-formal methods that tackle the migration and inclusion topic as well to expand the ML toolkit.

Project partners (4)