Ulrich Kiesmueller
Papers
1
Total Citations
7
H-Index
1
About
Ulrich Kiesmueller is a dedicated researcher in informatics education, with a particular focus on how secondary school students engage with algorithmic thinking and programming. His work bridges the gap between higher education and secondary-level computer science instruction, exploring how young learners—especially 7th graders—approach and solve algorithmic problems. Kiesmueller’s most-cited study (2008, 7 citations) examines the cognitive processes and challenges pupils face when learning fundamental algorithmic concepts, often with the aid of didactically reduced, text-based or visual programming languages. This research contributes to the design of more effective learning software and teaching strategies for early computer science education. By investigating how students interact with simplified programming environments, Kiesmueller helps educators better scaffold algorithmic problem-solving skills in formative years. His work underscores the importance of age-appropriate instructional tools and remains a valuable reference for those developing curricula and educational technologies aimed at fostering computational thinking in K–12 settings.
Research Focus
Key Achievements
Top Papers
- 1How do 7th graders solve algorithmic problems?7 citations · 2008