Golnaz Arastoopour Irgens
Papers
2
Total Citations
33
H-Index
2
About
Golnaz Arastoopour Irgens is a leading scholar at the intersection of learning sciences, computational thinking, and equity-focused STEM education. Her research centers on designing and studying learning environments that empower young learners to critically engage with emerging technologies, particularly machine learning (ML). Her most influential work, "Characterizing children’s conceptual knowledge and computational practices in a critical machine learning educational program" (2022, 29 citations), provides foundational insights into how children can develop both technical ML skills and critical awareness of algorithmic bias. This paper, along with her subsequent design research (2023, 4 citations), demonstrates her commitment to preparing youth as informed future consumers and producers of technology. Dr. Irgens’s contributions are particularly notable for addressing the harmful impacts of biased training datasets on marginalized populations, a critical issue in contemporary computing education. Her work has been recognized for its innovative integration of social justice with computational literacy, establishing her as a key voice in developing pedagogies that equip children with the technical and social expertise needed to navigate an increasingly algorithm-driven world.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Design of a Critical Machine Learning Program for Young Learners4 citations · 2023