Claus Pahl

Papers

Total Citations

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About

Claus Pahl’s research lies at the intersection of computing education, cloud service engineering, and human-computer interaction. He is best known for advancing **Computational Thinking (CT)** pedagogy, particularly through his influential 2019 paper "Combining Block-Based Programming and Hardware Prototyping to Foster Computational Thinking" (23 citations), which demonstrated how off-the-shelf technologies can bridge abstract programming concepts with tangible hardware to build practical software development competencies across educational levels. Pahl also tackles the complexity of cloud ecosystems with his **DALMOCS framework** (2024), a dynamic adaptive learning and multi-criteria decision analysis approach that enhances cloud service selection and orchestration. Additionally, his work on **RoboCards** (2019) addresses the logistical challenges of coding camps by designing adaptive facilitation tools for diverse, large-group learning environments. With a career spanning foundational contributions to both educational technology and cloud service optimization, Pahl’s research is widely cited for its practical, scalable solutions—empowering educators to foster CT skills and enabling enterprises to navigate multi-cloud environments with greater efficiency.