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

Nathalie Rzepka, M.Sc.

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Email: nathalie.rzepka@hu-berlin.de 

Nathalie joined the research group of Prof. Dr. Pinkwart in January 2021 as an external PhD student. She works at the University of Applied Sciences (HTW) Berlin and is doing a collaborative PhD on the effectiveness of AI-based learning environments for the acquisition of spelling and grammar skills.


Nathalie obtained her master's degree at the University of Applied Sciences in September 2020. In her master's thesis, she developed a microservice architecture for pseudonymization of vehicle data in collaboration with Mercedes-Benz GmbH.

Research Interest

  • Adaptive online learning
  • Language learning
  • Learning Analytivs and Discrimination

Publications

Plain text, RIS, BibTex

Journal Articles by N. Rzepka

Conference Papers

N. Rzepka, K. Simbeck, H. Müller, M. Bültemann, and N. Pinkwart
Show me the numbers! - Student-facing Interventions in Adaptive Learning Environments for German Spelling
21. Fachtagung Bildungstechnologien (DELFI), Gesellschaft für Informatik e.V., 2023, ISBN 978-3-88579-732-6
URL, DOI, ISBN, RIS, BibTex
N. Rzepka, K. Simbeck, H.-G. Müller, and N. Pinkwart
Go with the Flow: Personalized Task Sequencing Improves Online Language Learning
International Conference on Artificial Intelligence in Education, 90-101, 2023
DOI, RIS, BibTex
N. Rzepka, K. Simbeck, H.-G. Müller, and N. Pinkwart
An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms
Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,, SciTePress, 2022, ISBN 978-989-758-562-3
DOI, ISBN, RIS, BibTex
N. Rzepka, K. Simbeck, H.-G. Müller, and N. Pinkwart
Fairness of In-session Dropout Prediction
Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,, SciTePress, 2022, ISBN 978-989-758-562-3
DOI, ISBN, RIS, BibTex
N. Rzepka, K. Simbeck, H.-G. Müller, and N. Pinkwart
Keep It Up: In-session Dropout Prediction to Support Blended Classroom Scenarios
Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,, SciTePress, 2022, ISBN 978-989-758-562-3
DOI, ISBN, RIS, BibTex

Book Chapters

N. Rzepka, K. Simbeck, and N. Pinkwart
Learning Analytics und Diskriminierung
Datafizierung (in) der Bildung. Kritische Perspektiven auf digitale Vermessung in pädagogischen Kontexten, transcript, 2023, ISBN 978-3-8376-6582-6
URL, ISBN, RIS, BibTex