Kamila Misiejuk

Deutsch

Dr. Kamila Misiejuk Photo: Hardy Welsch

Dr. Kamila Misiejuk

Postdoctoral researcher of the professorship "Learning Analytics"

Email: kamila.misiejuk

Universitätsstraße 27 – PRG / Building 5
Raum B 112 (1st floor)
58097 Hagen

What is my role in CATALPA?

As a Postdoctoral Researcher in Learning Analytics, I research how to make sense of educational data to acquire useful insights into the learning processes. I am interested in disseminating novel data analysis techniques and developing learning analytics solutions for practitioners and students to support effective assessment and feedback practices.

Why CATALPA?

CATALPA has an excellent support for early-career researchers. In addition, it offers great opportunities for collaboration and interdisciplinary research.

    • Postdoctoral Researcher at the Center of Advanced Technology for Assisted Learning and Predictive Analytics (CATALPA), FernUniversität Hagen (since October 2024).
    • Senior Researcher (2022-2024), PhD Research Fellow (2017-2023) at the Centre for the Science of Learning and Technology (SLATE), University of Bergen, Norway.
    • Board member of the International Society for Quantitative Ethnography (since 2021), Chair of the International Society for Quantitative Ethnography Resources Committee (2021-2023)

    • My research focuses on making sense of educational data and novel data analysis techniques. I am passionate about developing materials for teaching and learning emerging analytics methods, such as Epistemic Network Analysis and Transition Network Analysis.
    • I am interested in creating practical data-driven solutions for practitioners and students and supporting effective assessment and feedback practices through educational technology. As an extension, I also aim to examine the effectiveness of learning analytics tools, such as dashboards.
    • I am interested in critical evaluation of emerging technologies (e.g., generative artificial intelligence) and exploring ways how new technologies can support not only teaching and learning in higher education but also research practices.
    • In my research, I focus on topics, such as computer-supported collaborative learning, peer assessment, writing analytics and learning design.

  • 2024

    Journals

    • Misiejuk, K., Kaliisa, R., & Scianna, J. (2024). Augmenting assessment with AI coding of online student discourse: A question of reliability. Computers and Education: Artificial Intelligence, 100216.

    Conferences

    • Kaliisa, R., Misiejuk, K., López-Pernas, S., Khalil, M., & Saqr, M. (2024). Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students’ Achievement, Motivation, Participation and Attitude. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 295–304).

      Misiejuk, K., & Khalil, M. (2024). The Co-Design Process of an Instructor Dashboard for Remote Labs in Higher Education. In International Conference on Human-Computer Interaction (pp. 65-76). Cham: Springer Nature Switzerland.

      Misiejuk, K., López-Pernas, S., Kaliisa, R., & Saqr, M. (2024). Learning together: Student-AI interactions to generate learning resources. In Proceedings of the 12th Technological Ecosystems for Enhancing Multiculturality Conference.

      Misiejuk, K., Pawelec, A., Ershova, T., & Bastesen, J. (2024). An exploratory analysis of AI-supported essay writing and group peer assessment. In Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 269–271). Society for Learning Analytics Research.

      Saqr, M., López-Pernas, S., Törmänen, T., Kaliisa, R., Misiejuk, K., & Tikka, S. (2024). Capturing the depth and dynamics of collaborative learning with transition network analysis. In Proceedings of the 18th International Conference of Computer-Supported Collaborative Learning Conference.

    Chapters in Edited Books

    • López-Pernas, S., Misiejuk, K., Kaliisa, R., Conde-González, M. Á., & Saqr, M. (2024). Capturing the Wealth and Diversity of Learning Processes with Learning Analytics Methods. In M. Saqr & S. López-Pernas (Eds.), Learning analytics methods and tutorials: A practical guide using R. Springer.

      López-Pernas, S., Misiejuk, K., Tikka, S., Saqr, M., & Kopra, J. (2024). Data visualization and reporting in Learning Analytics with R. In M. Saqr & S. López-Pernas (Eds.), Learning analytics methods and tutorials: A practical guide using R. Springer.

    2023

    Journals

    • Misiejuk, K., Ness, I. J., Gray, R., & Wasson, B. (2023). Changes in online course designs: Before, during, and after the pandemic. Frontiers in Education, 7.

    Conferences

    • Misiejuk, K., Khalil, M., & Wasson, B. (2023). Tackling the challenges with data access in learning analytics research: A case study of virtual labs. In Proceedings of the Technology-Enhanced Learning in Laboratories workshop (TELL 2023). CEUR Workshop Proceedings

    • Chapters in Edited Books

    • Misiejuk, K., & Wasson, B. (2023). Learning analytics for peer assessment - A scoping review. In O. Noroozi & B. De Wever (Eds.), The Power of Peer Learning. Springer

  • I work on various projects in the research professorship Learning Analytics. Personal project: Emerging network techniques to model educational data.

Research Center CATALPA | 02.12.2024