Carsten Schulte

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About

Carsten Schulte is a leading researcher in computer science education, with a focus on how children and novices understand and interact with intelligent systems. His work bridges the gap between human-computer interaction and pedagogical theory, exploring how learners perceive robots and AI—whether as supportive tools or as replacements for human roles. In his 2018 study on children’s perceptions of robots, Schulte uncovered critical insights into how young learners form mental models of autonomous agents, a finding that has shaped curriculum design for K-12 computing education. More recently, his 2024 paper on the “enabling architecture” of complex systems identifies the core knowledge components users need to correctly interpret robot behavior, especially during errors. This work addresses a pressing challenge: preventing misconceptions that lead to misuse or rejection of AI technologies. With over 5,000 citations across his career, Schulte’s research has influenced both classroom practice and the design of transparent, learner-friendly AI systems. He is also known for developing the “block model” for teaching programming, a widely adopted framework that helps students grasp code structure and execution.