The paper The AI4Citizen pilot: Pipelining AI-based technologies to support school-work alternation programmes, authored by Athina Georgara, Raman Kazhamiakin, Ornella Mich, Alessio Palmero Aprosio, Jean-Christoph Pazzaglia, Juan Antonio Rodríguez Aguilar and Carles Sierra has been accepted for publication on Applied Intelligence journal.
Abstract. The School-Work Alternation (SWA) programme was developed (under a European Commission call) to bridge the gaps and establish a well-tuned partnership between education and the job market. This work details the development of the AI4Citizen pilot, an AI software suite designed to support the SWA programme. The AI4Citizen pilot, developed within the H2020 AI4EU project, offers AI tools to automate and enhance the current SWA process. At the same time, the AI4Citizen pilot offers novel tools to support the complex problem of allocating student teams to internship programs, promoting collaborative learning and teamwork skills acquisition. Notably, the AI4Citizen pilot corresponds to a pipeline of AI tools, integrating existing and novel technologies. Our exhaustive empirical analysis confirms that the AI4Citizen pilot can alleviate the difficulties of current processes in the SWA, and therefore it is ready for real-world deployment.
