Research Associate in Educational Technologies at studiumdigitale, Goethe University Frankfurt, Germany
Email: soroka [at] studiumdigitale.uni-frankfurt.de
Ekaterina Soroka is a research associate at Goethe University, where she specializes in Learning Analytics and Technology-Enhanced Teaching. Her research leverages Data Science and Machine Learning to enhance educational outcomes through data-informed practices. Specifically, she explores how Instructional Analytics can optimize teaching strategies and improve student engagement in digital learning environments. She is also deeply invested in the user experience (UX) of web-based educational applications, working to create intuitive and effective interfaces that support educators and affiliated staff. By integrating advanced analytics with UX design, her goal is to develop technologies that are not only efficient but also accessible and user-friendly, fostering a more inclusive and effective learning environment.
- Learning Analytics, Instructional Analytics
- Technology enhanced Teaching
- Data Science, Machine Learning
- UX in web-based applications
- PhD Candidate, Current; Open University of the Netherlands
- Master's Degree in Clinical Trial Management, Beuth Hochschule für Technik Berlin, 2020
- Bachelor's Degree in Applied Biology, Hochschule Bonn-Rhein-Sieg 2013
- Bazzi, H., Soroka, E., Alcorn, H. L., & Anderson, K. V. (2017). STRIP1, a core component of STRIPAK complexes, is essential for normal mesoderm migration in the mouse embryo. Proceedings of the National Academy of Sciences, 114(51), E10928–E10936.
- Damen, M., Wirtz, L., Soroka, E., Khatif, H., Kukat, C., Simons, B. D., & Bazzi, H. (2021a). High proliferation and delamination during skin epidermal stratification. Nature Communications, 12(1), 3227.
- Orfanos, Z., Gödderz, M. P., Soroka, E., Gödderz, T., Rumyantseva, A., van der Ven, P. F., Hawke, T. J., & Fürst, D. O. (2016). Breaking sarcomeres by in vitro exercise. Scientific Reports, 6(1), 19614.