Dr.-Ing. Regina Kasakowskij

Dr.-Ing. Regina Kasakowskij
Postdoctoral researcher in the Aiducator and METALADIN projects
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 “Aiducator” and “METALADIN” projects. Here, I investigate the automated generation of tasks and automated 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.
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- Postdoctoral researcher in the Aiducator and METALADIN projects (since May 2025) at CATALPA
- Title of dissertation: Generierung, Empfehlung und Bewertung von Feedback für Aufgaben des Typs Self-Assessment in einer digitalen Lernumgebung (Generation, recommendation, and evaluation of feedback for self-assessment tasks in a digital learning environment); successfully defended in May 2025
- Research assistant and doctoral candidate at the Center of Advanced Technology for Assisted Learning and Predictive Analytics (CATALPA) and the Cooperative Systems department of the Faculty of Mathematics and Computer Science at the FernUniversität in Hagen (July 2020-April 2025)
- 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).
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online assessment, feedback/peer feedback, digitalization, diversity and lifelong learning, human computer interaction, user behavior, information system evaluation
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2025
Journals
- Kasakowskij, R., & Haake, J. M. (2025). Supporting a bidirectional feedback process for self-assessment tasks in a digital learning environment. International Journal of Educational Technology in Higher Education, 22(1). https://doi.org/10.1186/s41239-025-00512-6
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Phd and Habilitation Thesis
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Kasakowskij, R. (2025). Generierung, Empfehlung und Bewertung von Feedback für Aufgaben des Typs Self-Assessment in einer digitalen Lernumgebung. https://ub-deposit.fernuni-hagen.de/receive/mir_mods_00002194
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/10.1016/j.compedu.2024.105041
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Radović, S., Seidel, N., Haake, J. M., & Kasakowskij, R. (2024). Analysing students’ self-assessment practice in a distance education environment: Student behaviour, accuracy, and task-related characteristics. Journal of Computer Assisted Learning, 40(2), 654–666. https://doi.org/10.1111/jcal.12907
2023
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
- Kasakowskij, R., Kasakowskij, T., & Seidel, N. (2022). Dataset for Generation of multiple true false questions [dataset]. Zenodo. https://doi.org/10.5281/zenodo.7303300
2021
Journals
- Kasakowskij, T., Kasakowskij, R., & Fietkiewicz, K. J. (2021). "Can I pin this?" The legal position of Pinterest and its users: An analysis of Pinterest's data storage policies and users' trust in the service. First Monday. Advance online publication. https://doi.org/10.5210/fm.v26i7.11477
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
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2020
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Conferences
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Kasakowskij, R., Kasakowskij, T., & Fietkiewicz, K. J. (2020). Pinterest: A Unicorn Among Social Media? An Investigation of the Platform's Quality and Specifications. In 7th European Conference on Social Media. https://www.researchgate.net/publication/343392042_Pinterest_A_Unicorn_Among_Social_Media_An_Investigation_of_the_Platform%27s_Quality_and_Specifications
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2018
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Journals
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Kasakowskij, R., Friedrich, N., Fietkiewicz, K. J., & Stock, W. G. (2018). Anonymous and Non-anonymous User Behaviour on Social Media: A Case Study of Jodel and Instagram. Journal of Information Science Theory and Practice, 6(3), 25–36. https://doi.org/10.1633/JISTaP.2018.6.3.3
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Research on Sub-Project 1 Adaptive Assessments