- E-postkamila.misiejuk@uib.no
- BesøksadresseChristies gate 125015 Bergen
- PostadressePostboks 78075020 Bergen
Kamila Misiejuk er forsker ved Senter for vitenskapelig læring og teknologi (SLATE), Universitetet i Bergen.
Hennes Ph.D. forskning fokusert på kollegavurdering og læringsanalyse.
Hun leder International Society for Quantitative Ethnography Resources Committee (ISQE-RC) og er studentmedlem i International Society for Quantitative Ethnography (ISQE)-styret.
PRESENTASJONER:
10.02.23 How has feedback from learning analytics dashboards helped students’ learning? (PhD prøveforelesning), Universitetet i Bergen.
05.12.22 Peer assessment and learning analytics: Potential and challenges, ENVISION Project Multiplier Event, Online
01.02.21 Incorporating sentiment analysis with epistemic network analysis to enhance discourse analysis of Twitter data, 2nd International Conference on Quantitative Ethnography, Online.
02.12.20 DigiTrans: Learning design in online courses, Læringsmiljøutvalget i Bergen.
26.03.19 Measuring learning in the age of big data, Bergen Artificial Intelligence and Machine Learning Symposium i Bergen.
13.03.19 Exploring peer assessment with learning analytics, PeergradeCon i København, Danmark.
11.09.18 Challenges in using learning analytics to explore peer assessment data, 4th International Association for Educational Assessment Annual Conference i Oxford, Storbritannia.
21.06.16 Presensjon av den State-of-the-field on Learning Analytics and Knowledge (SoF LAK) prosjektet, åpning av den Centre for the Science of Learning & Technology (SLATE) i Bergen.
12.04.16 Web analytics (gjesteforelesning), Bachelorkurs INFO262 Interaction Design ved Universitetet i Bergen.
PANELER / SYMPOSIER:
02.02.21 Symposium: Challenges and Solutions to Examining Twitter Data: Reflections from QE-COVID19 Data Challenge, Woodson Hobbs, Rogers Kaliisa, Kamila Misiejuk, Melanie Pfeffer, David Sanchez, Jennifer Scianna, Mamta Shah, Hamideh Talafian, Karl Vachuska, Yeyu Wang, Susie Wnag, Monique Woodard og Szilvia Zorgo ved den andre International Conference on Quantitative Ethnography 2020, Online.
02.02.21 Women in QE, Golnaz Arastoopour Irgens, Mamta Shah, Danielle Espino og Kamila Misiejuk ved den andre International Conference on Quantitative Ethnography 2020, Online.
21.10.19 Teaching Quantitative Ethnography, Brendan Eagan, Eric Hamilton og Kamila Misiejuk ved den første International Conference on Quantitative Ethnography 2019, Madison, Wisconsin, USA.
24.10.22 Misiejuk, K. & Misfeldt, M. LA research methods 3: Quantitative Ethnography. PhD-kurs, INFO900: Introduction to Learning Analytics. Online
29.03.21 Misiejuk, K. Introduction to Epistemic Network Analysis. University of Eastern Finland, Online
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 i Frankfurt, Tyskland
20.10.19 Misiejuk, K. & Eagan, B. Introduction to Epistemic Network Analysis. 1st International Conference on Quantitative Ethnography i Madison, USA
18.10.19 Misiejuk, K. Introduction to Epistemic Network Analysis. Carnegie Mellon University i Pittsburgh, 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 i Beijing, Kina
07.06.19 Misiejuk, K. Introduction to Epistemic Network Analysis. 15th EATEL Summer School on Technology Enhanced Learning 2019, Bari, Italia
29.08.18 Misfeldt, M. & Misiejuk, K. Epistemic Network Analysis - Quantitative Ethnography, An Open Source Workshop. 2nd LASI-NORDIC Learning Analytics Summer Institute, København, Danmark
- (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 sider.
- (2021). Backward evaluation in peer assessment: A scoping review. Computers & Education. 12 sider.
- (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 sider.
- (2021). Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data. 15 sider.
- (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.
ENVISION 2027-prosjektet adresserer både det nåværende behovet for overgang fra konvensjonell klasseromsundervisning av biovitenskapsstudier til digital fjernundervisning, så vel som å forbedre dagens status for nettbasert undervisning og e-læringskursmoduler over hele Europa for fremtidige behov.
Prosjektet Remote Intelligent Access to Labs in Higher Education (RIALHE) har som mål å forbedre elevenes forståelse av vitenskapelige prosedyrer fra fjerntilgang til ekte laboratorieeksperimenter etterfulgt av samarbeidsaktiviteter ved hjelp av teknologiske plattformer.
Fagfeller: Discourse & Society, Studies in Higher Education
2021 - ... Studentmedlem, International Society for Quantitative Ethnography-styret
2021 - ... Leder, International Society for Quantitative Ethnography Resources Committee
Design og utvikling av en Introductory Epistemic Network Analysis webtool bookdown
Design, utvikling og vedlikehold av ressursdepotet for kvantitativ etnografi
2023 Programkomitémedlem, 5th International Conference on Quantitative Ethnography, Monash University, Melbourne, Australia
2022 Medlem av konferansekomiteen, 4th International Conference on Quantitative Ethnography, Københavns Universitet, Danmark
2021 Programkomitémedlem, 3rd International Conference on Quantitative Ethnography, University of Pepperdine, Malibu, USA
2021 Medformann for doktorgradskonsortiet, 2nd International Conference on Quantitative Ethnography, Online
2021 Medarrangør av den andre Annual QE Community Data Challenge, Online
2020 Medarrangør av den QEurious Meetup, Online
2020 Medarrangør av den første Annual QE Community COVID Data Challenge, Online
2019 Meltzer Project Grant (NOK 65,000)
2018 SoLAR Travel Scholarship ($1,000)