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University of Bergen
Ivar Nordmo's picture

Ivar Nordmo

Associate Professor
Division of Student and Academic Affairs
  • E-mailIvar.Nordmo@uib.no
  • Phone+47 55 58 28 23+47 416 49 271
  • Visitor Address
    Langesgt. 1-3
  • Postal Address
    Postboks 7800
    5020 Bergen
Academic article
  • 2013. Deltakerbaner i psykologutdanningen - en femårs oppfølging av psykologistudenter. UNIPED. 50-61.
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  • 2009. The study experiences of the high achievers in a competitive academic environment. A cost of success? Issues in educational research. 255-270.
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  • 2007. Studying for essay type examinations: the study activities of the students with the best exams. Das Hochschulwesen. Forum für Hochschulforschung, -praxis und -politik. 118-125.
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Report
  • 2001. Universitetspedagogisk utviklingsarbeid i Bergen. 1/2001. 1/2001. .
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  • 2001. Rapport fra prøveprosjekt med seminarmodell på Examen Philosophicum UiB, høsten 2000. 1. 1. .
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Lecture
  • 2016. Teaching Computational Geophysics Classes using Active Learning Techniques.
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Academic lecture
  • 2019. The complexities between professional development of academic staff, local culture and educational leadership.
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  • 2016. How does pedagogical training change university teachers´ conceptions of teaching?
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  • 2004. Trening av situasjonsbevissthet ved Politihøgskolens skytesimulator.
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  • 1998. Collaborative Learning in Work Groups: A practical and low cost response to a dramatic increase in student numbers.
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Academic anthology/Conference proceedings
  • 2004. Universitetspedagogisk utviklingsarbeid i Bergen: Bidrag fra deltakerne i Utviklingsprogram i Universitetspedagogikk. Program for læringsforskning, Universitetet i Bergen.
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Non-fiction book
  • 2016. Tools for the Development of Teaching at University. Univerzita Komenskehov v Bratislava.
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Doctoral dissertation
  • 2014. Gjennom nåløyet – studenters læringserfaringer i psykologutdanningen.
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Academic chapter/article/Conference paper
  • 1997. Å reflektere over praksis - ved hjelp av tegning.
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Poster
  • 2018. Can digital field notebooks improve geoscientific field learning in extreme environments?
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Academic literature review
  • 2014. Resources for computational geophysics courses. 335-336.
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More information in national current research information system (CRIStin)