Scholar
Leo Sylvio Rüdian
Google Scholar ID: fgfDDmkAAAAJ
Humboldt Universität zu Berlin
Citations & Impact
Citations
261
H-index
8
i10-index
6
Publications
20
Co-authors
0
Resume
Academic Achievements
- PhD thesis focused on simplifying the creation of online courses using machine learning techniques; published work on sustainable financing strategies for free online courses.
Research Experience
- Joined as a research assistant at the Weizenbaum Institute in autumn 2017; has been involved with the AI Campus project of DFKI since 2020; became part of the IMPACT project in April 2022, focusing on developing transparent and explainable AI methods to support teachers in providing formative feedback; has led the Moodle Lab at HU since 2023.
Education
- Obtained a Master of Science degree in Computer Science from Humboldt University of Berlin in 2017; awarded a Doctor rerum naturalium (Dr. rer. nat.) degree in June 2024 from the same university.
Background
- Research interests include machine learning, personalization of online courses, learning analytics, and educational data mining. Focuses on automatically generating and tailoring online courses to meet learners' needs.