Digital teaching formats are gaining importance in engineering education, particularly due to the growing need to deliver practice-oriented content beyond traditional face-to-face settings. Remote laboratories address this demand by enabling students to interact with real microcontroller hardware independently of time and location. To support this, the newly developed Creation Assistant, a platform-independent service, automatically analyzes Fritzing circuit diagrams and converts them into a structured, machine-readable format. Extracted data on components, connections, and pin assignments is stored in a relational database and made accessible to downstream systems, including test automation, visualization, and configuration queries. By integrating the automated analysis of the Creation Assistant into the remote lab infrastructure, it lays the groundwork for a scalable and objective assessment of student work. In doing so, it strengthens digital engineering education by enabling consistent feedback, reducing instructor workload, and supporting competence-oriented learning.

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Automated Integration of EDA Circuit Designs for Scalable Remote Labs in Embedded Systems Education

  • Jakob Czekansky,
  • Onur Melik Sen,
  • Justin Sauer,
  • Diethelm Bienhaus

摘要

Digital teaching formats are gaining importance in engineering education, particularly due to the growing need to deliver practice-oriented content beyond traditional face-to-face settings. Remote laboratories address this demand by enabling students to interact with real microcontroller hardware independently of time and location. To support this, the newly developed Creation Assistant, a platform-independent service, automatically analyzes Fritzing circuit diagrams and converts them into a structured, machine-readable format. Extracted data on components, connections, and pin assignments is stored in a relational database and made accessible to downstream systems, including test automation, visualization, and configuration queries. By integrating the automated analysis of the Creation Assistant into the remote lab infrastructure, it lays the groundwork for a scalable and objective assessment of student work. In doing so, it strengthens digital engineering education by enabling consistent feedback, reducing instructor workload, and supporting competence-oriented learning.