About
Prof. Dr. Sandra Schulz is an Assistant Professor in the Department of Didactics of Computer Science at the University of Hamburg's Faculty of Education. Her research focuses on interdisciplinary MINT education, robotics, AI literacy, and collaborative learning strategies. She holds a PhD in Computer Science from Humboldt University Berlin and has held postdoctoral positions at Carnegie Mellon University and Humboldt University. Her work emphasizes integrating research data management and conceptual change methodologies into teacher training. She is a GI Junior Fellow (2019) and actively contributes to educational technology initiatives.
Her career includes a teaching internship at a Berlin school (2019–2020) and leadership roles in organizations like the German Telekom Foundation. Research interests span robotics education, data literacy, and fostering non-technical skills in computing. Key publications address academic-industry gaps in professional dispositions, conceptual change in AI education, and collaborative learning assessment frameworks.
Publications highlight her contributions to STEM teacher education through projects like the Teacher AID Lab, which integrates AI and data management concepts. She collaborates internationally on topics like data management in education and peer evaluation methodologies. Her work bridges theory and practice, emphasizing practical tools for educators.
