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  • E-mailkamila.misiejuk@uib.no
  • Visitor Address
    Christies gate 12
    5015 Bergen
  • Postal Address
    Postboks 7807
    5020 Bergen

Kamila Misiejuk is a researcher at the Centre for the Science of Learning & Technology (SLATE), University of Bergen. 

Her Ph.D. research focused on peer assessment and learning analytics.

She is leading the International Society for Quantitative Ethnography Resources Committee (ISQE-RC) and is a student member of the International Society for Quantitative Ethnography (ISQE) board.

PRESENTATIONS:

10.02.23 How has feedback from learning analytics dashboards helped students’ learning? (PhD trial lecture), University of Bergen.

05.12.22 Peer assessment and learning analytics: Potential and challenges, ENVISION Project Multiplier Event.

01.02.21 Incorporating sentiment analysis with epistemic network analysis to enhance discourse analysis of Twitter data, 2nd International Conference on Quantitative Ethnography.

02.12.20 DigiTrans: Learning design in online courses, Læringsmiljøutvalget, Bergen, Norway.

26.03.19 Measuring learning in the age of big data, Bergen Artificial Intelligence and Machine Learning Symposium, Bergen, Norway.

13.03.19 Exploring peer assessment with learning analytics, PeergradeCon in Copenhagen, Denmark. 

11.09.18 Challenges in using learning analytics to explore peer assessment data, 4th International Association for Educational Assessment Annual Conference, Oxford, UK.

21.06.16 Presentation of the state-of-the-field on Learning Analytics and Knowledge (SoF LAK) Project, Opening of the Centre for the Science of Learning & Technology (SLATE) in Bergen, Norway.

12.04.16 Web analytics (guest lecture), Undergraduate Course INFO262 Interaction Design at the Bergen University, Norway.

PANELS / SYMPOSIUMS:

02.02.21 Symposium: Challenges and Solutions to Examining Twitter Data: Reflections from QE-COVID19 Data Challenge with Woodson Hobbs, Rogers Kaliisa, Kamila Misiejuk, Melanie Pfeffer, David Sanchez, Jennifer Scianna, Mamta Shah, Hamideh Talafian, Karl Vachuska, Yeyu Wang, Susie Wnag, Monique Woodard and Szilvia Zorgo at the 2nd International Conference on Quantitative Ethnography 2020.

02.02.21 Women in QE with Golnaz Arastoopour Irgens, Mamta Shah, Danielle Espino and Kamila Misiejuk at the 2nd International Conference on Quantitative Ethnography 2020.

21.10.19 Teaching Quantitative Ethnography with Brendan Eagan, Eric Hamilton and Kamila Misiejuk at the International Conference on Quantitative Ethnography 2019, Madison, Wisconsin, USA.

24.10.22 Misiejuk, K. & Misfeldt, M. LA research methods 3: Quantitative Ethnography. PhD course, INFO900: Introduction to Learning Analytics. Online

29.03.21 Misiejuk, K. Introduction to Epistemic Network Analysis. University of Eastern Finland

31.01.21 Misiejuk, K., Porter, C. & Eagan, B. Introduction to Epistemic Network Analysis. 2nd International Conference on Quantitative Ethnography. Online

24.03.20 Misfeldt, M., Spikol, D., Bruun, J., Saqr, M., Kaliisa, R., Ruis, A., Eagan., B. and Misiejuk, K. Quantitative ethnography as a framework for network analysis - A discussion of the foundations for network approaches to learning analysis. 10th International Learning Analytics and Knowledge Conference in Frankfurt, Germany

20.10.19 Misiejuk, K. & Eagan, B. Introduction to Epistemic Network Analysis. 1st International Conference on Quantitative Ethnography in Madison, Wisconsin, USA

18.10.19 Misiejuk, K. Introduction to Epistemic Network Analysis. Carnegie Mellon University in Pittsburgh, Pennsylvania, USA

11.07.19 Rose, C., Liat, Y., Misiejuk, K., Hu, X., Mu, S., and Jingjing., Z. Approaches and Tools for Learning Analytics. Learning Design, Technology and the Learning Sciences: A Research Colloquium, Beijing Normal University in Beijing, China

07.06.19 Misiejuk, K. Introduction to Epistemic Network Analysis. 15th EATEL Summer School on Technology Enhanced Learning 2019, Bari, Italy

29.08.18 Misfeldt, M. & Misiejuk, K. Epistemic Network Analysis - Quantitative Ethnography, An Open Source Workshop. 2nd LASI-NORDIC Learning Analytics Summer Institute, Copenhagen, Denmark

Academic article
  • Show author(s) (2023). Changes in online course designs: Before, during, and after the pandemic. Frontiers in Education.
  • Show author(s) (2021). Using learning analytics to understand student perceptions of peer feedback. Computers in Human Behavior. 13 pages.
  • Show author(s) (2021). Backward evaluation in peer assessment: A scoping review. Computers & Education. 12 pages.
Report
  • Show author(s) (2020). DigiTrans: Trends in Learning Design in Canvas Courses after Covid-19. SLATE Research Report 2020-3. .
  • Show author(s) (2017). State of the Field Report on Learning Analytics. .
Lecture
  • Show author(s) (2021). Incorporating sentiment analysis with epistemic network analysis to enhance discourse analysis of Twitter data.
  • Show author(s) (2020). DigiTrans: Learning design in online courses.
  • Show author(s) (2019). Measuring learning in the age of big data.
Popular scientific lecture
  • Show author(s) (2019). Exploring peer assessment with learning analytics.
Academic lecture
  • Show author(s) (2023). How has feedback from learning analytics dashboards helped students’ learning? .
  • Show author(s) (2022). Peer assessment and learning analytics: Potential and challenges.
  • Show author(s) (2018). Challenges in using learning analytics to explore peer assessment data.
  • Show author(s) (2018). Challenges in Using Learning Analytics to Explore Peer Assessment Data.
Doctoral dissertation
  • Show author(s) (2023). Using learning analytics to understand peer assessment: The importance of context data.
Academic chapter/article/Conference paper
  • Show author(s) (2021). Scoping the Emerging Field of Quantitative Ethnography: Opportunities, Challenges and Future Directions. 15 pages.
  • Show author(s) (2021). Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data. 15 pages.
Poster
  • Show author(s) (2018). The Potential of Learning Analytics to Support Peer Assessment.
Popular scientific book
  • Show author(s) (2019). Innovating Pedagogy 2019. Open University Innovation Report 7. The Open University.
Digital learning tools
  • Show author(s) (2022). Epistemic Network Analysis Web Tool User Guide.

More information in national current research information system (CRIStin)

The ENVISION 2027 project addresses both the current need of transitioning from conventional classroom teaching of Bioscience studies into digital remote teaching, as well as improving the current status of online teaching and e-learning course modules across Europe for the future needs.

The Remote Intelligent Access to Labs in Higher Education (RIALHE) project aims to improve the students’ understanding of scientific procedures starting from remote access to real lab experiments followed by collaborative activities using tech platforms.

 

Reviewer: Discourse & Society, Studies in Higher Education

2021 - ... Student Member, International Society for Quantitative Ethnography board

2021 - ... Chair, International Society for Quantitative Ethnography Resources Committee

2023 Program Committee Member, 5th International Conference on Quantitative Ethnography, Monash University, Melbourne, Australia

2022 Conference Committee Member, 4th International Conference on Quantitative Ethnography, University of Copenhagen, Denmark

2021 Program Committee Member, 3rd International Conference on Quantitative Ethnography, University of Pepperdine, Malibu, USA

2021 Doctoral Consortium Co-Chair, 2nd International Conference on Quantitative Ethnography, Online

2021 Co-organizer of the 2nd Annual QE Community Data Challenge, Online

2020 Co-organizer of the QEurious Meetup, Online

2020 Co-organizer of the 1st QE Community COVID Data Challenge, Online

2019 Meltzer Project Grant (NOK 65,000)

2018 SoLAR Travel Scholarship ($1,000)