Open Access

Jennifer J. Blöchle, Thomas Wendt

• Building on the pedagogical framework introduced in Ro-botics in Education, this paper presents a five-layer model designed to systematically capture learning and collaboration effects within modular robotics learning environments. While the Drawer Concept developed by the Work-Life Robotics Institute (WLRI) at Offenburg University of Applied Sciences has already demonstrated how age-appropriateBuilding on the pedagogical framework introduced in Ro-botics in Education, this paper presents a five-layer model designed to systematically capture learning and collaboration effects within modular robotics learning environments. While the Drawer Concept developed by the Work-Life Robotics Institute (WLRI) at Offenburg University of Applied Sciences has already demonstrated how age-appropriate and interactive learning formats can foster curiosity, creativity, and technical competence, the question now arises of how these educational processes can be methodologically assessed and evaluated in a rigorous manner. The proposed model provides a structured methodological framework for evaluating learning processes in technology-enhanced learning environments (TELEs) [1,2,3,4]. It integrates Design-Based Research (DBR) [5,6,7,8,9] as an overarching didactic approach, Mixed Methods (MM) [10,11,12] for comprehensive data collection, and Collaborative Learning Analytics (CLA) [13,14,15,16] for analyzing interactions and team dynamics. The model is further complemented by a competence framework for 21st-century skills, which incorporates technical, cognitive, and social dimensions of learning. The model enables a holistic understanding of learning and collaboration processes by linking qualitative and quantitative perspectives, and supports the iterative advancement of instructional design. The systematic application of its five layers provides the foundation for context-sensitive and scalable design principles that extend beyond individual workshops. In doing so, the model contributes to the evidence-based development of robotics education, combining practice-oriented, modular learning formats with a robust, research-driven evaluation framework.…