Yael Feldman-Maggor

Yael Feldman-Maggor is a Research Fellow at KTH Royal Institute of Technology’s Media Technology and Interaction Design Division within the School of Electrical Engineering and Computer Science (EECS). She is affiliated with the Digital Futures research center, focusing on AI ethics and educational technology. Her postdoctoral project examines fairness and bias in AI tools for STEM education, emphasizing cultural norms influencing educators’ trust in algorithmic recommendations.

Dr. Feldman-Maggor holds a PhD in Science Education from the Weizmann Institute of Science. Her research integrates quantitative and qualitative methods, with expertise in education technologies, self-regulated learning, learning analytics, and chemistry education. She previously taught at Israel’s Open University and developed blended learning strategies in the health sector.

Her ongoing project (2024–2026), co-supervised by Prof. Olga Viberg (KTH) and Prof. Teresa Cerratto Pargman (Stockholm University), explores how cultural contexts shape educators’ adoption of AI tools. She serves on the editorial board of the International Journal of Science Education and collaborates with Stockholm University and RISE Research Institutes of Sweden.

Key research themes include generative AI applications in science education, trust in AI systems, and bridging educational equity gaps through culturally responsive AI design. Her work emphasizes responsible AI implementation to ensure equitable STEM education access.