Kamila Misiejuk

English

Dr. Kamila Misiejuk Foto: Hardy Welsch

Dr. Kamila Misiejuk

Wissenschaftliche Mitarbeiterin der Forschungsprofessur "Learning Analytics"

E-Mail: kamila.misiejuk

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

Was ist meine Rolle in CATALPA?

Als Wissenschafliche Mitarbeiterin im Bereich Learning Analytics erforsche ich, wie man Bildungsdaten analysieren kann, um wertvolle Einblicke in die Lernprozesse zu bekommen. Ich interessiere mich für neue Datenanalysetechniken und Learning-Analytics-Tools, die Studierenden und Lehrenden bei Assessment- und Feedbackpraktiken unterstützen.

Warum CATALPA?

CATALPA bietet mir als Early Career Wissenschaftlerin hervorragende Unterstützung. Darüber hinaus finde ich hier großartige Möglichkeiten zur Zusammenarbeit und interdisziplinären Forschung.

    • Postdoctorandin bei Center of Advanced Technology for Assisted Learning and Predictive Analytics (CATALPA), FernUniversität Hagen (seit Oktober 2024).
    • Senior Researcher (2022-2024), Doktorandin (2017-2023) bei Centre for the Science of Learning and Technology (SLATE), Universität Bergen, Norwegen.
    • Vorstandsmitglied bei International Society for Quantitative Ethnography (seit 2021), Ausschussvorsitzende von International Society for Quantitative Ethnography Resources Committee (2021-2023)

    • Der Schwerpunkt meiner Forschung liegt auf der effektiven Nutzung von Bildungsdaten und neuartigen Datenanalysetechniken. Meine Leidenschaft liegt in der Entwicklung von Materialien zum Lehren und Erlernen neuer Analysemethoden, wie Epistemic Network Analysis und Transition Network Analysis.
    • Ich bin daran interessiert, praktische datengesteuerte Lösungen für Lehrende und Studierende zu entwickeln und effektive Bewertungs- und Feedbackpraktiken durch Bildungstechnologie zu unterstützen. Darüber hinaus möchte ich auch die Wirksamkeit von Lernanalysetools wie Dashboards untersuchen.
    • Ich interessiere mich für die kritische Bewertung neuer Technologien (z. B. generative künstliche Intelligenz) und die Erforschung von Möglichkeiten, wie diese neuen Technologien nicht nur das Lehren und Lernen in der Hochschulbildung, sondern auch Forschungspraktiken unterstützen können.
    • In meiner Forschung konzentriere ich mich auf Themen wie computergestütztes kollaboratives Lernen, Peer-Assessment, Writing Analytics und Lerndesign.

  • Ich arbeite an verschiedenen Projekten in der Forschungsprofessur Learning Analytics. Persönliches Projekt: Emerging network techniques to model educational data.

  • 2026

    Buchbeiträge

    • López-Pernas, S., Misiejuk, K., & Saqr, M. (2026). Using BERT-like Language Models for Automated Discourse Coding: A Primer and Tutorial. In M. Saqr & S. López-Pernas (Eds.), Advanced Learning Analytics Methods (pp. 235–259). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-95365-1_10
    • Misiejuk, K., Kaliisa, R., López-Pernas, S., & Saqr, M. (2026). Expanding the Quantitative Ethnography Toolkit with Transition Network Analysis: Exploring Methodological Synergies and Boundaries. In G. Carmona, C. Lima, M. J. Santos, H. Benítez, L. Montero-Moguel, & B. Galarza-Tohen (Eds.), Communications in Computer and Information Science, Advances in Quantitative Ethnography (pp. 147–161). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-12229-2_10
    • Saqr, M., Misiejuk, K., Tikka, S., & López-Pernas, S. (2026). Artificial Intelligence: Using Machine Learning to Classify Students and Predict Low Achievers. In M. Saqr & S. López-Pernas (Eds.), Advanced Learning Analytics Methods (pp. 79–112). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-95365-1_4
    • Saqr, M., Misiejuk, K., Tikka, S., & López-Pernas, S. (2026). Artificial Intelligence: Using Machine Learning to Predict Students’ Performance. In M. Saqr & S. López-Pernas (Eds.), Advanced Learning Analytics Methods (pp. 41–78). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-95365-1_3

    2025

    Zeitschriftenartikel

    • Kaliisa, R., López-Pernas, S., Misiejuk, K., Damşa, C., Sobocinski, M., Järvelä, S., & Saqr, M. (2025). A Topical Review of Research in Computer-Supported Collaborative Learning: Questions and Possibilities. Computers & Education, 228, 105246. https://doi.org/10.1016/j.compedu.2025.105246

      Kaliisa, R., Misiejuk, K., López-Pernas, S., & Saqr, M. (2025). How does artificial intelligence compare to human feedback? A meta-analysis of performance, feedback perception, and learning dispositions. Educational Psychology, 1–32. https://doi.org/10.1080/01443410.2025.2553639

      López-Pernas, S., Misiejuk, K., Kaliisa, R., & Saqr, M. (2025). Capturing the Process of Students' AI Interactions When Creating and Learning Complex Network Structures. IEEE Transactions on Learning Technologies, 18, 556–568. https://doi.org/10.1109/TLT.2025.3568599

      Misiejuk, K., Bastesen, J., & Ershova, T. (2025). How does using generative AI for essay writing impact peer assessment patterns? Insights from early adopters. Innovations in Education and Teaching International, 62(5), 1545–1558. https://doi.org/10.1080/14703297.2025.2516117

      Misiejuk, K., López-Pernas, S., Kaliisa, R., & Saqr, M. (2025). Mapping the Landscape of Generative Artificial Intelligence in Learning Analytics. Journal of Learning Analytics, 12(1), 12–31. https://doi.org/10.18608/jla.2025.8591

      Misiejuk, K., Samuelsen, J., Kaliisa, R., & Prinsloo, P. (2025). Idiographic learning analytics: Mapping of the ethical issues. Learning and Individual Differences, 117, 102599. https://doi.org/10.1016/j.lindif.2024.102599

      Vogelsmeier, L. V., Oliveira, E., Misiejuk, K., López-Pernas, S., & Saqr, M. (2025). Delving into the psychology of Machines: Exploring the structure of self-regulated learning via LLM-generated survey responses. Computers in Human Behavior, 173, 108769. https://doi.org/10.1016/j.chb.2025.

    • Konferenzbeiträge

    • Kaliisa, R., Damşa, C., Misiejuk, K., & Eagan, B. (2025). Understanding the Impact of Physical, Online, and Hybrid Modalities on Self and Co-Regulation during Collaborative Problem Solving. In Proceedings of the International Conference on Computer-supported for Collaborative Learning, Proceedings of the 18th International Conference on Computer-Supported Collaborative Learning - CSCL 2025 (pp. 634–636). International Society of the Learning Sciences. https://doi.org/10.22318/cscl2025.509380

      López-Pernas, S., Misiejuk, K., Griskova-Bulanova, I., Emara, M., Siddika, A. N. M., & Saqr, M. (in print). A Process-oriented View of Human-AI Interactions: Comparing Argumentative vs. Creative Writing. In Proceedings of the 9th International Conference on Smart Learning Environments (ICSLE 2025).

      López-Pernas, S., Misiejuk, K., Jovanović, J., Milić, M. R., Conde, M. Á., & Saqr, M. (2025). chatgptscrapeR: A Tool for Retrieving Student-AI Interactions. In 2025 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 134–136). IEEE. https://doi.org/10.1109/ICALT64023.2025.00044

      López-Pernas, S., Misiejuk, K., Oliveira, E., & Saqr, M. (2025). Capturing the regulation process and dynamics of problem-solving in programming with AI. In Proceedings of Koli Calling 2025.

      López-Pernas, S., Misiejuk, K., Oliveira, E., & Saqr, M. (2025). The dynamics of the self-regulation process in student-AI interactions. In J. Leinonen & R. Duran (Eds.), Proceedings of the 25th Koli Calling International Conference on Computing Education Research (pp. 1–12). ACM. https://doi.org/10.1145/3769994.3770043

      López-Pernas, S., Tikka, S., Misiejuk, K., & Saqr, M. (in print). Tna-web: Advanced analytics just a few clicks away. In Proceedings of the 13th Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2025).

      Misiejuk, K., Saqr, M., Törmänen, T [Tina], Kaliisa, R., Tikka, S., & López-Pernas, S. (2025). Frequency Transition Network Analysis (FTNA). In CSCL 2025 Proceedings. https://drive.google.com/file/d/1C82vzIINhxl_Nrev9OsoiH4NhnWefUrk/view

    • Oliveira, E., Misiejuk, K., López-Pernas, S., & Saqr, M. (in print). Writing under pressure: How time-induced stress and cognitive load shape student writing style. In Proceedings of the 9th International Conference on Smart Learning Environments (ICSLE 2025).

      Saqr, M., López-Pernas, S., Törmänen, T [Tiina], Kaliisa, R., Misiejuk, K., & Tikka, S. (2025). Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes. In Proceedings of the 15th International Learning Analytics and Knowledge Conference (pp. 351–361). ACM. https://doi.org/10.1145/3706468.3706513

    • Vorträge und Posterpräsentationen

    • Misiejuk, K. (2025, June 10-2025, June 13). Understanding the Impact of Physical, Online, and Hybrid Modalities on Self and Co-Regulation during Collaborative Problem Solving. 5th Annual Meeting of the International Society of the Learning Sciences (ISLS), Helsinki, Finland. https://2025.isls.org/

      Misiejuk, K. (2025, June 16). Capturing the Complexity of Feedback Processes through Peer Assessment. University of Eastern Finland. Future Technologies Research Seminar. https://sites.uef.fi/edtech/2025/05/27/future-technologies-research-seminar-june-16-2025/

      Misiejuk, K. (2025, October 12). : Expanding the quantitative ethnography toolkit with Transition Network Analysis: Exploring methodological synergies and boundaries. The 7th International Conference on Quantitative Ethnography, Mexico City, Mexico.

      Misiejuk, K. (2025, October 16). A Process-oriented View of Human-AI Interactions: Comparing Argumentative vs. Creative Writing. The 9th International Conference on Smart Learning Environments (ICSLE 2025), Joensuu, Finland.

      Misiejuk, K. (2025, October 28). Teacher-Facing Learning Analytics Dashboards: What We Know, What Works, and What’s Next. TeacherLA 2025 Symposium – Research and Research Perspectives on Teacher-Facing Learning Analytics Dashboards, Tübingen, Germany.

      Misiejuk, K., & Kaliisa, R. (2025, May 20). Have Learning Analytics Dashboards Lived Up to the Hype? The University of Bergen. 10th anniversary of the Centre for the Science of Learning & Technology (SLATE). https://slate.uib.no/celebrating-slates-10-year-anniversary/programme

    2024

    Zeitschriftenartikel

    • 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, 6, 100216. https://doi.org/10.1016/j.caeai.2024.100216

    Konferenzbeiträge

    • 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 LAK '24: Proceedings of the 14th Learning Analytics and Knowledge Conference. https://doi.org/10.1145/3636555.3636884

      Misiejuk, K., & Khalil, M. (2024). The Co-design Process of an Instructor Dashboard for Remote Labs in Higher Education. In P. Zaphiris & A. Ioannou (Eds.), Lecture Notes in Computer Science, Learning and Collaboration Technologies (pp. 65–76). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-61672-3_5

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

    • Saqr, M., 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.

    Buchbeiträge

    • 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 (pp. 1–14). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54464-4_1

      López-Pernas, S., Misiejuk, K., Tikka, S., Kopra, J., Heinäniemi, M., & Saqr, M. (2024). Visualizing and Reporting Educational Data with R. In M. Saqr & S. López-Pernas (Eds.), Learning Analytics Methods and Tutorials (pp. 151–194). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54464-4_6

    2023

    Zeitschriftenartikel

    Konferenzbeiträge

    • 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.

    • Buchbeiträge

    • 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 https://doi.org/10.1007/978-3-031-29411-2_2

CATALPA | 29.01.2026