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Kjetil Egelandsdal

Biographic Data

ID8901514
NAMEKjetil Egelandsdal
GIVEN NAMESKjetil
FAMILY NAMEEgelandsdal
SIGNATUREEGELANDSDAL K
AFFILIATIONSUniversity of Bergen
ORCID0000-0003-2301-4563
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Making evaluative legal judgements

    Open Access•Kjetil Egelandsdal, Guri Lindblad et al.•ARTICLE•Assessment in Education:…•2026

    This study examines second-year law students’ experiences of evaluating administrative decisions across two successive course implementations. In 2023 (N=250), students were randomly assigned to either an Independent Scoring Format (ISF), where they rated individual decisions, or Comparative Judgement (CJ), where they compared pairs of decisions. Post-activity survey data, including open-ended responses, were analysed for both groups. In 2024 (N=…

  • Beyond reliability

    Open Access•Kjetil Egelandsdal, Jan-Ove Færstad•ARTICLE•Frontiers in Education•2026

    Introduction Adaptive Comparative Judgment (ACJ) has been promoted as a promising alternative to criteria-based grading, yet evidence of its performance in high-stakes, text-intensive higher-education contexts remains limited. This study examines the applicability of ACJ as a grading method for complex, text-based assessments in higher education. Method: ACJ was applied post hoc to examination papers from two third-year law courses at a Norwegian…

  • Exploring the practical feasibility of adaptive comparative judgment as a summative assessment method

    Open Access•Kjetil Egelandsdal, Eva Hartell et al.•ARTICLE•Assessment & Evaluation in Higher…•2025

    This study explores the practical feasibility of Adaptive Comparative Judgment (ACJ) as a summative assessment method in legal education, focusing on a Property and Intellectual Property Law course at a Norwegian university. Eight examiners assessed 300 student responses using ACJ within traditional time constraints, performing pairwise comparisons to rank submissions by quality. Findings reveal that examiners completed fewer comparisons than req…

  • Using learning analytics to understand student perceptions of peer feedback

    Open Access•Kamila Misiejuk, Barbara Wasson et al.•ARTICLE•Computers in Human Behavior•2021

    Peer assessment (PA) is the process of students grading and giving feedback to each other's work. Learning analytics is a field focused on analysing educational data to understand and improve learning processes. Using learning analytics on PA data has the potential to gain new insights into the feedback giving/receiving process. This exploratory study focuses on backward evaluation, an under researched aspect of peer assessment, where students re…

  • Never mind the gap

    Open Access•Kjetil Egelandsdal, Hanne Riese•ARTICLE•European Journal of Education•2020

    The notion of “closing the learning gap” is widely used in the conceptualisation of formative assessment. It builds on an unarticulated assumption that students' learning can and should be controlled towards predefined outcomes. This article discusses this control assumption in the light of the concept of the American philosopher John Dewey and the German philosopher Hans‐Georg Gadamer. Their conceptualisation challenges the idea of learning as a…

No prominent works on this page.

  • Never mind the gap

    Open Access•Kjetil Egelandsdal, Hanne Riese•ARTICLE•European Journal of Education•2020

    The notion of “closing the learning gap” is widely used in the conceptualisation of formative assessment. It builds on an unarticulated assumption that students' learning can and should be controlled towards predefined outcomes. This article discusses this control assumption in the light of the concept of the American philosopher John Dewey and the German philosopher Hans‐Georg Gadamer. Their conceptualisation challenges the idea of learning as a…

  • Using learning analytics to understand student perceptions of peer feedback

    Open Access•Kamila Misiejuk, Barbara Wasson et al.•ARTICLE•Computers in Human Behavior•2021

    Peer assessment (PA) is the process of students grading and giving feedback to each other's work. Learning analytics is a field focused on analysing educational data to understand and improve learning processes. Using learning analytics on PA data has the potential to gain new insights into the feedback giving/receiving process. This exploratory study focuses on backward evaluation, an under researched aspect of peer assessment, where students re…

  • Exploring the practical feasibility of adaptive comparative judgment as a summative assessment method

    Open Access•Kjetil Egelandsdal, Eva Hartell et al.•ARTICLE•Assessment & Evaluation in Higher…•2025

    This study explores the practical feasibility of Adaptive Comparative Judgment (ACJ) as a summative assessment method in legal education, focusing on a Property and Intellectual Property Law course at a Norwegian university. Eight examiners assessed 300 student responses using ACJ within traditional time constraints, performing pairwise comparisons to rank submissions by quality. Findings reveal that examiners completed fewer comparisons than req…

  • Making evaluative legal judgements

    Open Access•Kjetil Egelandsdal, Guri Lindblad et al.•ARTICLE•Assessment in Education:…•2026

    This study examines second-year law students’ experiences of evaluating administrative decisions across two successive course implementations. In 2023 (N=250), students were randomly assigned to either an Independent Scoring Format (ISF), where they rated individual decisions, or Comparative Judgement (CJ), where they compared pairs of decisions. Post-activity survey data, including open-ended responses, were analysed for both groups. In 2024 (N=…

  • Beyond reliability

    Open Access•Kjetil Egelandsdal, Jan-Ove Færstad•ARTICLE•Frontiers in Education•2026

    Introduction Adaptive Comparative Judgment (ACJ) has been promoted as a promising alternative to criteria-based grading, yet evidence of its performance in high-stakes, text-intensive higher-education contexts remains limited. This study examines the applicability of ACJ as a grading method for complex, text-based assessments in higher education. Method: ACJ was applied post hoc to examination papers from two third-year law courses at a Norwegian…

Student Assessment and Feedback (4 works) · Computer Science (3 works) · Formative assessment (3 works) · Mathematics education (3 works) · Psychology (3 works) · Pedagogy (2 works) · Analytics (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Big data (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae