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Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Computer Science Education | Computer Science and Society

Leo Sylvio Rüdian, M.Sc.

Leo Sylvio Rüdian, M.Sc.  

Address: Rudower Chaussee 25, Raum 3.416
Phone:  +49 30 20 93-41 11 23
Email: ruediasy@hu-berlin.de

     

Mr. Rüdian received his Master‘s Degree in computer science from Humboldt University in October 2017. In his master thesis, he explored the deanonymization of people by using fingerprinting approaches in social media.

Since November 2017 he is a research fellow at the Weizenbaum Institut and joined the research group of Prof. Pinkwart. Since 2020 he supports the KI-Campus project of the (DFKI). During his studies, he focuses on machine learning in education, learning analytics, and educational data mining.

His current research focuses on the area of personalization on different levels to adapt online courses to individual needs. He examines culture and personality traits as well as learning preferences in learning systems for user modeling and uses them for adaption.

Previously, he explored the generation of online courses to support their creation using machine learning methods. Besides, his research currently focuses on the area of language learning, and therefore, he creates concepts and prototypes.

Publications

Journal Articles by S. Rüdian


Conference Papers


S. Rüdian and N. Pinkwart
Is the context-based Word2Vec representation useful to determine Question Words for Generators?
Die 18. Fachtagung Bildungstechnologien (DELFI), Raphael Zender et. al. (Hrsg.), GI, 2020
RIS, BibTex
S. Rüdian, A. Heuts, and N. Pinkwart
Educational Text Summarizer: Which sentences are worth asking for?
Die 18. Fachtagung Bildungstechnologien (DELFI), Raphael Zender et. al. (Hrsg.), Gesellschaft für Informatik e.V., 2020
URL, PDF, RIS, BibTex
S. Rüdian, J. Quandt, K. Hahn, and N. Pinkwart
Automatic Feedback for Open Writing Tasks: Is this text appropriate for this lecture?
Die 18. Fachtagung Bildungstechnologien (DELFI), Raphael Zender et. al. (Hrsg.), GI, 2020
RIS, BibTex
S. Rüdian, N. Pinkwart, and Z. Liu
I know who you are: Deanonymization using Facebook Likes
Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, Köllen Druck+Verlag GmbH, 2018
PDF, RIS, BibTex

Theses