The project’s implementation encompasses various activities. These include creating a transnational early leavers risk map, compiling a comprehensive compendium of best practices, guidelines, ethics principles, and national governance initiatives. Additionally, the project involves developing an AI prompt-system prototype with multilingual support to assist in decision-making processes.

The expected outcomes of the stAI project include a transnational risk map highlighting intervention recommendations, a compendium featuring case studies and insights into knowledge-driven AI systems, and the technical implementation of an AI prompt system prototype. Furthermore, the project aims to establish stakeholders’ ecosystems through targeted activities across different work packages.

By achieving its objectives and delivering on its anticipated results, the stAI project seeks to make significant strides in reducing early leaving in education. Through the identification of risk factors, recommendation of interventions, and leveraging AI-driven decision-making tools, the project aims to create a more supportive and effective educational environment, ultimately benefiting students, educators, policymakers, and society as a whole.