Janet Bih

University of Maryland, College Park

Papers

1

Total Citations

9

H-Index

1

About

Janet Bih is a leading researcher in computational thinking (CT) education, with a focus on integrating CT concepts into K–12 mathematics curricula. Her most-cited work, "Sphero.Math" (2022, 9 citations), introduces an innovative curriculum that embeds CT skills—such as abstraction, algorithms, and debugging—directly into math learning through hands-on robotics activities. This contribution is notable for bridging the gap between abstract computational principles and tangible, engaging classroom practice, offering a replicable model for educators. Bih’s research addresses the urgent need to prepare students for a computational world, emphasizing equity and accessibility in CT education. Her work has been recognized for its practical impact, providing a framework that empowers teachers to foster problem-solving and logical reasoning without requiring advanced programming expertise. By demonstrating how robotics can demystify CT, Bih is shaping how foundational skills are taught, making her a pivotal voice in the movement to integrate computational thinking across disciplines. Her ongoing efforts continue to influence curriculum design and teacher training, positioning her as a key contributor to the future of STEM education.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Sphero.Math
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Maryland, College Park

Top Papers

  1. 1
    Sphero.Math
    9 citations · 2022

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago