Martin Stirzel
Papers
1
Total Citations
3
H-Index
1
About
Martin Stirzel’s research focuses on human-robot interaction and computing education, particularly the use of social robots to enhance motivation and learning among programming novices. His most cited work, “Raising Motivation of Programming Novices? Findings from a Controlled Laboratory Experiment Using Anki Vector<sup>TM</sup> Robots” (2020), presents a controlled experiment with undergraduate students, demonstrating how the Anki Vector robot can spark engagement and improve attitudes toward programming. This study contributes to the growing field of educational robotics by providing empirical evidence on the motivational benefits of tangible, interactive tools in computing curricula. With 3 citations, the paper has informed subsequent work on robot-assisted learning and pedagogical design. Stirzel’s research bridges human-robot interaction and computer science education, offering practical insights for educators seeking to make programming more accessible and appealing. His work underscores the potential of companion robots as effective educational aids, particularly for novices who may find traditional instruction intimidating. By integrating robotics into learning environments, Stirzel advances both theoretical understanding and classroom practice in computing education.
Research Focus
Key Achievements
Top Papers
- 1