- E-mailkamila.misiejuk@uib.no
- Visitor AddressChristies gate 125015 Bergen
- Postal AddressPostboks 78075020 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
- (2024). Augmenting assessment with AI coding of online student discourse: A question of reliability. Computers & Education: Artificial Intelligence (CAEAI).
- (2023). Changes in online course designs: Before, during, and after the pandemic. Frontiers in Education.
- (2021). Using learning analytics to understand student perceptions of peer feedback. Computers in Human Behavior. 13 pages.
- (2021). Backward evaluation in peer assessment: A scoping review. Computers & Education. 12 pages.
- (2020). DigiTrans: Trends in Learning Design in Canvas Courses after Covid-19. SLATE Research Report 2020-3. .
- (2017). State of the Field Report on Learning Analytics. .
- (2021). Incorporating sentiment analysis with epistemic network analysis to enhance discourse analysis of Twitter data.
- (2020). DigiTrans: Learning design in online courses.
- (2019). Measuring learning in the age of big data.
- (2019). Exploring peer assessment with learning analytics.
- (2023). How has feedback from learning analytics dashboards helped students’ learning? .
- (2022). Peer assessment and learning analytics: Potential and challenges.
- (2018). Challenges in using learning analytics to explore peer assessment data.
- (2018). Challenges in Using Learning Analytics to Explore Peer Assessment Data.
- (2023). Using learning analytics to understand peer assessment: The importance of context data.
- (2021). Scoping the Emerging Field of Quantitative Ethnography: Opportunities, Challenges and Future Directions. 15 pages.
- (2021). Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data. 15 pages.
- (2018). The Potential of Learning Analytics to Support Peer Assessment.
- (2019). Innovating Pedagogy 2019. Open University Innovation Report 7. The Open University.
- (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
- Design and development of an Introductory Epistemic Network Analysis webtool bookdown
- Design, development and maintenance of the Quantitative Ethnography resources repository
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)