معرفی
Clara Schumacher is a Post-doctoral researcher in the LA-DIVA project at Humboldt University of Berlin's CATALPA research cluster since April 2020, specializing in educational technologies and learning analytics. Her work bridges pedagogical theory with data-driven systems to enhance learning support for students and instructors.
Her academic foundation includes:
- Doctoral degree (Dr. rer. Pol.) on "Cognitive, Metacognitive, and Motivational Perspectives on Learning Analytics. Synthesizing Self-regulated Learning, Assessment, and Feedback with Learning Analytics" from University of Mannheim (2020)
- Diploma in educational science (Diplom-Pädagogin) with focus on adult education, psychology and work psychology from University of Koblenz-Landau (2014)
Research focuses on learning analytics, self-regulated learning, and feedback systems within educational technologies, emphasizing how algorithmic approaches impact collaborative learning and student diversity. Her interdisciplinary methodology integrates computer science with educational theory to develop practical tools for real-world learning environments.
Recent publications (2021-2024) reveal a clear trajectory toward ethical implementation of learning analytics, with growing emphasis on algorithmic grouping transparency, student perception of automated systems, and equity considerations in data-driven education. This evolution highlights her commitment to socially responsible edtech development.
As spokesperson for the DELFI working group on learning analytics, she actively shapes research standards while contributing to the LA-DIVA project's pedagogical framework at CATALPA.
