Kamila Misiejuk

English

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

• Meine Kurzvita

  • 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)

• Meine Forschungsinteressen

  • 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.

• Meine Projekte in CATALPA

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

• Meine Publikationen

  2026

  Zeitschriftenartikel

  • Kaliisa, R., Damşa, C., Eagan, B., Esterhazy, R., Langfold, M., & Misiejuk, K. (2026). Do modes of presence matter? regulation and participation in graduate students’ hybrid synchronous group-based collaboration. Learning and Instruction, 105, 102405. https://doi.org/10.1016/j.learninstruc.2026.102405
  • López-Pernas, S., Misiejuk, K., & Saqr, M. (2026). How AI ‐Generated Feedback Hinders or Helps Learning: A Heterogeneous TNA Study of Learning Dynamics. Journal of Computer Assisted Learning, 42(4), Article e70285. https://doi.org/10.1002/jcal.70285
  • López-Pernas, S., Oliveira, E. A., Misiejuk, K., Deriba, F. G., Kaliisa, R., & Saqr, M. (2026). Can AI deliver appropriate support for diverse student profiles? A large-scale evaluation. Computers in Human Behavior: Artificial Humans, 9, 100357. https://doi.org/10.1016/j.chbah.2026.100357
  • Misiejuk, K., López-Pernas, S., Kaliisa, R., & Saqr, M. (2026). Cognitive offloading in student–AI collaboration: A longitudinal analysis of prompting strategies. Computers in Human Behavior Reports, 22, 101130. https://doi.org/10.1016/j.chbr.2026.101130
  • Misiejuk, K., Oliveira, E. A., López-Pernas, S., Eagan, B., & Saqr, M. (2026). Comparing human and LLM ordered coding of qualitative data: How coding differences cascade through temporal analysis. Computers and Education: Artificial Intelligence, 100649. https://doi.org/10.1016/j.caeai.2026.100649
  • Saqr, M., Misiejuk, K., & López-Pernas, S. (2026). Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics? The Internet and Higher Education, 70, 101087. https://doi.org/10.1016/j.iheduc.2026.101087

  Konferenzbeiträge

  • Abu Hayya, M., Saqr, M., López-Pernas, S., & Misiejuk, K. (in print). Gender Bias in Multilingual LLMs' Student Profiling and Learning Support in Arabic Language. In Proceedings of the 14th Technological Ecosystems for Enhancing Multiculturality Conference (TEEM’26).

    López-Pernas, S., Misiejuk, K., Oliveira, E. A., & Saqr, M. (in print). Using AI Blurs Skill Differences and Levels Learning, Regulation, and Achievement in Programming Education. In Proceedings of the 28th International Symposium on Informatics in Education (SIIE’26), Zamora, Spain.

    López-Pernas, S., Misiejuk, K., & Saqr, M. (in print). Transition Trajectories of Students’ Interactions with AI. In K. Misiejuk, S. López-Pernas, E. Araujo Oliveira, & M. Saqr (Eds.), Communications in Computer and Information Science (CCIS), Proceedings of the 2nd Workshop on Transition Network Analysis (TNA). Springer.

    López-Pernas, S., Misiejuk, K., Tikka, S., & Saqr, M. (2026). Role Dynamics in Student-AI Collaboration: A Heterogeneous Transition Network Analysis Approach. In M. Saqr, K. Misiejuk, & S. López-Pernas (Eds.), Communications in Computer and Information Science (CCIS), Innovations in Analytics of Learning Dynamics: Proceedings of the 1st Workshop on Transition Network Analysis (TNA). Springer. https://doi.org/10.1007/978-3-032-34157-0

    Misiejuk, K., Kolarik, S., Lehnert, F., Rinja, D., Yücepur, V., & Specht, M. (2026). Student–AI Dialogue Through Multiple Lenses: Interaction Profiles, Language Patterns, and Content Trajectories. In M. Saqr, K. Misiejuk, & S. López-Pernas (Eds.), Communications in Computer and Information Science (CCIS), Innovations in Analytics of Learning Dynamics: Proceedings of the 1st Workshop on Transition Network Analysis (TNA). Springer. https://doi.org/10.1007/978-3-032-34157-0

    Misiejuk, K., Oliveira, E. A., López-Pernas, S., & Saqr, M. (in print). Ordering Bias and Ordering Variability: A Three-Step Approach for Interrater Reliability in Ordered Qualitative Coding. In K. Misiejuk, S. López-Pernas, E. Araujo Oliveira, & M. Saqr (Eds.), Communications in Computer and Information Science (CCIS), Proceedings of the 2nd Workshop on Transition Network Analysis (TNA). Springer.

    Misiejuk, K., Rinja, D., López-Pernas, S., & Saqr, M. (in print). Reliance, Reluctance and Relegation: A Semester-Long Analysis of Student-AI Interactions. In Proceedings of the 28th International Symposium on Informatics in Education (SIIE’26), Zamora, Spain.

    Misiejuk, K., Song, Y., Oliveira, E. A., López-Pernas, S., & Saqr, M. (2026). Modeling Sequential Context: A Stanza Window Extension of Co-occurrence Transition Network Analysis. In M. Saqr, K. Misiejuk, & S. López-Pernas (Eds.), Communications in Computer and Information Science (CCIS), Innovations in Analytics of Learning Dynamics: Proceedings of the 1st Workshop on Transition Network Analysis (TNA). Springer. https://doi.org/10.1007/978-3-032-34157-0

    Pande, S., Song, Y., Misiejuk, K., López-Pernas, S., Saqr, M., & Oliveira, E. A. (2026). Profiling Writing Skills at Scale: A Hybrid Stylometry-LLM Pipeline for Formative Feedback. In X. Ochoa, A. Oh, Z. Pardos, & J. Kim (Eds.), Proceedings of the Thirteenth ACM Conference on Learning @ Scale (pp. 491–495). ACM. https://doi.org/10.1145/3774398.3811578

    Rinja, D., Oliveira, E. A., López-Pernas, S., Saqr, M., Specht, M., & Misiejuk, K. (2026). Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming. In E. G. Blanchard, G. Chen, M. Chi, & S. Isotani (Eds.), Lecture Notes in Computer Science, Artificial Intelligence in Education (pp. 515–530). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-29763-1_35

    Saqr, M., López-Pernas, S., & Misiejuk, K. (2026). Dynalytics: The Birth of a Framework for Rigorous Analytics of Dynamical Systems. In M. Saqr, K. Misiejuk, & S. López-Pernas (Eds.), Communications in Computer and Information Science (CCIS), Innovations in Analytics of Learning Dynamics: Proceedings of the 1st Workshop on Transition Network Analysis (TNA). Springer. https://doi.org/10.1007/978-3-032-34157-0

    Saqr, M., López-Pernas, S., & Misiejuk, K. (in print). To TNA, or not to TNA: Model Assessment Selection and Validation. In K. Misiejuk, S. López-Pernas, E. Araujo Oliveira, & M. Saqr (Eds.), Communications in Computer and Information Science (CCIS), Proceedings of the 2nd Workshop on Transition Network Analysis (TNA). Springer.

    Soroka, E., Seidel, N., Specht, M., & Misiejuk, K. (2026). New Lenses on Learning Design: Course Types and Indicators from Large-Scale Moodle Data. In Proceedings of the 21st European Conference on Technology-Enhanced Learning (EC-TEL’26).

    Wu, D., Misiejuk, K., López-Pernas, S., Chen, G., Saqr, M., & Oliveira, E. A. (2026). From Writing Traces to Personalised Support: Guiding LLMs with Stylometric Fingerprints. In E. G. Blanchard, G. Chen, M. Chi, & S. Isotani (Eds.), Lecture Notes in Computer Science, Artificial Intelligence in Education (pp. 469–478). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-29755-6_34

  • Herausgeberschaften

  • Misiejuk, K., López-Pernas, S., Araujo Oliveira, E., & Saqr, M. (Eds.) (in print). Proceedings of the 2nd Workshop on Transition Network Analysis (TNA). Communications in Computer and Information Science (CCIS). Springer.

  • Saqr, M., Misiejuk, K., & López-Pernas, S. (Eds.) (2026). Innovations in Analytics of Learning Dynamics: Proceedings of the 1st Workshop on Transition Network Analysis (TNA). Communications in Computer and Information Science (CCIS). Springer. https://doi.org/10.1007/978-3-032-34157-0

    Swiecki, Z., Misiejuk, K., Kaliisa, R., Shah, M., Eagan, B., Tan, Y., & Marquart, C. (Eds.) (in print). Quantitative Ethnography in the Age of AI: Advanced Tools and Methods for Learning Analytics. Communications in Computer and Information Science (CCIS). Springer.

  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

  • Vorträge und Posterpräsentationen

  • Kaliisa, R., Damşa, C., & Misiejuk, K. (2026, June 10). The dynamics of collaborative problem solving in hybrid learning environments. Computers and Learning Research Group (CALRG) Conference 2026, online. https://www.open.ac.uk/blogs/CALRG/day-3-wednesday-10-june-2026/

    Saqr, M., López-Pernas, S., & Misiejuk, K. (2026, November 18). Understanding high-order human ai interaction processes with higher-order networks. EARLI SIG27 Conference, Barcelona. https://www.earli.org/events/sig-27-conference-2026

    Saqr, M., Misiejuk, K., & López-Pernas, S. (2026, November 18). Capturing the dynamics of learning processes with transition and pattern analysis. EARLI SIG27 Conference, Barcelona. https://www.earli.org/events/sig-27-conference-2026

  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

  • 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. https://doi.org/10.3389/feduc.2022.996006

  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. https://scispace.com/papers/tackling-the-challenges-with-data-access-in-learning-1p0jlon3

  • 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

• Meine Netzwerke und Kooperationen

  • Vorstandsmitglied bei International Society for Quantitative Ethnography seit 2021
  • Mitglied von Society for Learning Analytics Research (SoLAR) seit 2018

• Meine Profile im Netz

  • Google Scholar
  • Research Gate
  • LinkedIn
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