• 05/2024 - present Teamlead CAMMP at SCC of KIT
• 04/2022 - 04/2024 Specialist Digital Engineering (50%) RLE International
• 04/2022 - 04/2024 Research Assistant (50%) TH Köln (Working Group Mathematics for Engineering Sciences)
• 11/2018 - 03/2022 Research Assistant TH Köln (Working Group Mathematics for Engineering Sciences)
• 10/2017 - 10/2018 Research Assistant University of Cologne (Working Group Actuarial Mathematics)
• 10/2015 - 09/2017 Master of Economic Mathematics
• 10/2012 - 09/2015 Bachelor Mathematics

Knoth, N., Decker, M., Laupichler, M. C., Pinski, M., Buchholtz, N., Bata, K. & Schultz, B. (2024) Developing a holistic AI literacy assessment matrix - Bridging generic, domain-specific, and ethical competencies, Computers and Education Open, Volume 6, https://doi.org/10.1016/j.caeo.2024.100177.

Bata, K., Schmitz A. & Eichler A. (2023). Processing graphs as an illustration of how engineering students build a machine learning model. Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13), Alfréd Rényi Institute of Mathematics; Eötvös Loránd University of Budapest, Jul 2023, Budapest, Hungary.

Bata, K., Schmitz A. & Eichler A. (2023). Insights into the processing of a task for creating models with machine learning methods. In IDMI-Primar Goethe University Frankfurt (Ed.). Contributions to Mathematics Education 2022. 56th Annual Conference of the Society for Didactics of Mathematics. WTM.

Bata, K., Hilger, S. & Schmitz, A. (2022). Studierendenperspektive auf die Einbindung von Online-Kursen in eine Veranstaltung im Blended-Learning-Format [Student perspectives on the integration of online courses in a blended learning format]. In R. Hochmuth, T. Becker, & L. Kempen (Eds.). Hybride Lehre in den Fächern und im Lehramt. Forschung als Impuls für eine fach- und studiengangbezogene Lehrentwicklung an Hochschulen. Cologne Open Science.

Bata, K., Schmitz, A., & Eichler, A. (2022). Insights into the design of an introductory course for data science and machine learning for engineering students. In G. Bolondi, F. Ferretti & J. Hodgen (Eds.), Proceedings of the 12th Congress of the European Society for Research in Mathematics Education (CERME12). Free University of Bozen-Bolzano and ERME.

Schmitz, A. & Bata, K. (2022). OER-Online-Kurse - Data Science mit Blended Learning im Maschinenbau lehren [OER online courses - Teaching data science with blended learning in mechanical engineering]. In D.-K. Mah, & C. Toner (Eds.). Künstliche Intelligenz mit offenen Lernangeboten an Hochschulen lehren. Erfahrungen und Erkenntnisse aus dem Fellowship-Programm des KI-Campus. Berlin: KI-Campus.

Bata, K., Eichler, A., & Schmitz, A. (2021). How Engineering Students Argue in an Introductory Course in Data Science. In R. Helenius & E. Falck (Eds.). Proceedings of the IASE 2021 Satellite Conference. International Association for Statistical Education.

Bata, K. & Schmidli H. (2020). Optimal Capital Injections and Dividends with Tax in a Risk Model in Discrete Time. European Actuarial Journal. https://doi.org/10.1007/s13385-019-00221-1

Bata, K., Eichler, A., & Schmitz, A. (2020). Data Science an der Schnittstelle zur Mathematik – ein Design Research Projekt [Data science at the interface with mathematics - a design research project]. In H.-S. Siller; W. Weigel & J. F. Wörler (Eds.). Contributions to mathematics education.