Eva Späthe

Eva Späthe is a researcher at the Chair of Information Infrastructures, Technical University of Munich (TUM), Campus Heilbronn, specializing in digitalisation within educational contexts. Her work bridges information systems infrastructure with pedagogical innovation, focusing on practical implementations of emerging technologies in learning environments.

Her core research domains include:

• Digitalisation in Education
• Educational Technology
• AI Integration in Learning Systems
• Data Privacy Frameworks for Educational Platforms
• Ethical Implications of Generative AI in Classrooms

Analysis of her publications reveals a strong emphasis on regulatory compliance and practical risk mitigation in educational technology. The 2024 DIRECTIONS-Kriterienkatalog establishes certification criteria for data protection in school information systems, while her 2023 work critically examines ChatGPT's impact on teaching methodologies. Both studies demonstrate her commitment to developing actionable frameworks that balance innovation with ethical safeguards in rapidly evolving digital learning landscapes.

Späthe actively collaborates with Prof. Ali Sunyaev and Sebastian Lins on the BMBF-funded DIRECTIONS project. No scientific awards or student advising details were documented in the source material, though her research directly informs practical implementations in German educational institutions.