Regina Kasakowskij

Deutsch

Regina Kasakowskij, M.A. Photo: privat

Regina Kasakowskij, M.A.

Research associate/assistant in CATALPA, Project APLE II

Email: regina.kasakowskij

FernUniversität in Hagen
Universitätsstr. 11 - IZ / Building 3 / Room 0G210
58097 Hagen

What is my role within CATALPA?

As a computer scientist and information scientist, I am a member of the Adaptive Personalized Learning Environment II (APLE II) project, investigating adaptive support options in online assessment and feedback for students.

Why CATALPA?

With its special support for young researchers, CATALPA offers me great conditions to start my independent scientific career. In addition, the possibility of interdisciplinary exchange is of particular relevance to me and offers a wide range of opportunities.

    • Research associate and doctoral candidate of the research center Center of Advanced Technology for Assisted Learning and Predictive Analytics " (CATALPA) and the Department "of Cooperative Systems of the Faculty of Mathematics and Computer Science at the FernUniversität in Hagen since July 2020.
    • Master of Arts degree in Information Science and Language Technology (grade: very good) at Heinrich-Heine-University Düsseldorf. Title of the master thesis: The virtual pinboard Pinterest: An evaluation of the information system.
    • Research assistant at the Department of Information Science at the Institute for Information and Language of the Faculty of Humanities at Heinrich-Heine-University Düsseldorf (2019-2020). Project From Information Law to iLaw.
    • Student assistant in the monitoring department of the Landesanstalt für Medien NRW (2018-2020).
    • Tutor in computational linguistics at Heinrich Heine University (2017-2018) and assistant manager at the Centre for Health and Society, Düsseldorf (2014-2015).

  • online assessment, feedback/peer feedback, digitalization, diversity and lifelong learning, human computer interaction, user behavior, information system evaluation

    • APLE II before APLE I
    • Cooperation with LA-DIVA

  • 2024

    Journals

    • Radović, S., Seidel, N., Menze, D., & Kasakowskij, R. (2024). Investigating the effects of different levels of students’ regulation support on learning process and outcome: In search of the optimal level of support for self-regulated learning. Computers & Education, 215, 105041. https://doi.org/https://doi.org/10.1016/j.compedu.2024.105041

    2023

    Journals

    • Radović, S., Seidel, N., Haake, J. M., & Kasakowskij, R. (2023). Analysing students’ self-assessment practice in a distance education environment: Student behaviour, accuracy, and task-related characteristics. Journal of Computer Assisted Learning, 1–13. https://doi.org/10.1111/jcal.12907

    Conferences

    • Kasakowskij, R., Haake, J. M., & Seidel, N. (2023). Self-Assessment Task Processing Behavior of Students in Higher Education. Proceedings of the 16th International Conference on Educational Data Mining, 334–341. https://doi.org/10.5281/zenodo.8115707

    2022

    Journals

    • Kasakowskij, R. (2022). Auswahl und Generierung von passenden Feedbacks auf Basis eines Feedback-Rating-System-Frameworks. MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung, 48(Digitalisierung als Katalysator), 155–169. https://doi.org/10.21240/mpaed/48/2022.06.13.X

    Conferences

    • Kasakowskij, R., Kasakowskij, T., & Seidel, N. (2022). Generation of Multiple True False Questions. In P. A. Henning, M. Striewe, & M. Wölfel (Eds.), DELFI 2021 – Die 20. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. (pp. 147–152). Gesellschaft für Informatik. https://doi.org/10.18420/delfi2022-026
    • Menze, D., Seidel, N., & Kasakowskij, R. (2022). Interaction of reading and assessment behavior. In P. A. Henning, M. Striewe, & M. Wölfel (Eds.), DELFI 2022 – Die 21. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. (pp. 27–38). Gesellschaft für Informatik. https://doi.org/10.18420/delfi2022-011

    Data Sets

    2021

    Conferences

    • Haake, J. M., Seidel, N., Burchart, M., Karolyi, H., & Kasakowskij, R. (2021). Accuracy of self-assessments in higher education. DELFI 2021 – Die 19. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., 97–108. https://dl.gi.de/handle/20.500.12116/36995

  • Research on Sub-Project 1 Adaptive Assessments

Research Center CATALPA | 23.04.2024