Luisa Greifenstein
Papers
5
Total Citations
24
H-Index
3
About
Luisa Greifenstein is a researcher dedicated to understanding how young children learn programming and computational thinking, with a particular focus on the role of feedback and affective factors. Her work centers on using educational robots, especially Ozobots, to introduce primary school students to algorithmic concepts. Greifenstein’s key contributions include identifying common problems children face when programming these robots and, crucially, investigating how different types of feedback—whether it helps solve a problem or simply solves it for the child—impact not only learning but also motivation and self-efficacy. Her most cited paper (9 citations) examines the effects of feedback on fun, highlighting a core tension in educational technology. To support teachers, she has developed practical tools like hint cards for common robot issues, bridging the gap between theory and classroom practice. With a growing body of work that includes both English and German publications, Greifenstein is shaping how we design effective, emotionally supportive programming experiences for elementary school children, ensuring that early encounters with computer science are both educational and engaging.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5