The project aimed to strengthen the digital transformation capacity of higher education institutions by introducing a structured approach to low-code education. Its objectives were: 1. Analyse institutional and pedagogical needs related to low-code adoption and define a clear framework for integrating low-code in higher education. 2. Develop a complete and transferable curriculum introducing students to core low-code concepts through structured chapters and practical examples. 3. Create an accessible online platform enabling hands-on experimentation with data models, automation, state machines and interface components. 4. Build staff capacity through targeted teacher training and shared pedagogical resources. 5. Disseminate results through publications, events and communication actions to support reuse and scaling. Overall, the objective was to provide practical tools and evidence-based guidance to embed low-code approaches in teaching and learning.
European universities face increasing pressure to modernise digital education, yet low-code environments remain poorly integrated into teaching practice. Institutions lack structured pedagogical resources, teacher training, and accessible platforms to introduce algorithmic thinking, data structures and automation without requiring advanced programming skills. We applied for this project to address these needs by developing (1) a research-based framework on low-code education, (2) a complete pedagogical curriculum for students and teachers, and (3) an open online platform enabling practical experimentation. The objective was to strengthen digital transformation capacity in higher education and provide scalable, transferable tools for multidisciplinary programmes.