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dc.contributor.authorKarjalainen, Suvi
dc.contributor.authorSilvennoinen, Minna
dc.contributor.authorManu, Mari
dc.contributor.authorMalinen, Anita
dc.contributor.authorParviainen, Tiina
dc.contributor.authorVesisenaho, Mikko
dc.date.accessioned2023-04-05T10:22:21Z
dc.date.available2023-04-05T10:22:21Z
dc.date.issued2022
dc.identifier.citationKarjalainen, S., Silvennoinen, M., Manu, M., Malinen, A., Parviainen, T., & Vesisenaho, M. (2022). How can learning experiences be explored in simulation-based learning situations?. In <i>EAPRIL 2021 Conference Proceedings</i> (pp. 231-243). European Association for Practitioner Research. EAPRIL Conference Proceedings. <a href="https://eapril.org/assets/images/proceedings_2021.pdf" target="_blank">https://eapril.org/assets/images/proceedings_2021.pdf</a>
dc.identifier.otherCONVID_117813352
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/86271
dc.description.abstractThe aim of our research is to investigate what methods can be used to explore learning experiences. In this case example, we describe how we extracted quantitative and qualitative data reflecting learning experiences from simulation-based learning (SBL) situations. Data collection was conducted in the fields of aviation and forestry. After the SBL situation, the students participated in a stimulated recall interview. The transcribed interview data were analysed using data-driven methods. To capture the dynamics in the (neuro)physiological signals associated with varying states of learning experiences, we recorded activity of the autonomic and central nervous systems. When analysing (neuro)physiological data, we focused on extracting reliable signatures reflecting both the state and the reactivity of the autonomic and central nervous systems. Later on, different data types will be integrated and analysed together. The aim of this article is to elaborate the extent to which different data types can be integrated in analysis to produce meaningful information about learning experiences. Our results based on the students’ interviews highlight the meaningfulness of the instructor’s guidance in SBL situations. We also show that it is possible to extract reliable features from (neuro)physiological signals measured during natural learning situations. These (neuro)physiological features also seem to vary depending on the phase of the simulation. Therefore, we conclude that by including (neuro)physiological measurements in research designs, it is possible to achieve a more comprehensive understanding of learning experiences. This type of multidisciplinary research is likely to provide novel insights in developing learning environments and guidance.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEuropean Association for Practitioner Research
dc.relation.ispartofEAPRIL 2021 Conference Proceedings
dc.relation.ispartofseriesEAPRIL Conference Proceedings
dc.relation.urihttps://eapril.org/assets/images/proceedings_2021.pdf
dc.rightsIn Copyright
dc.titleHow can learning experiences be explored in simulation-based learning situations?
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202304052402
dc.contributor.laitosOpettajankoulutuslaitosfi
dc.contributor.laitosKasvatustieteiden laitosfi
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Teacher Educationen
dc.contributor.laitosDepartment of Educationen
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineAikuiskasvatustiedefi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineAdult Educationen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatusnonPeerReviewed
dc.format.pagerange231-243
dc.relation.issn2406-4653
dc.relation.numberinseries7
dc.type.versionpublishedVersion
dc.rights.copyright© European Association for Practitioner Research 2022
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceEuropean association for practitioner research on improving learning conference (EAPRIL)
dc.relation.grantnumberA75070
dc.subject.ysooppimiskokemukset
dc.subject.ysotutkimus
dc.subject.ysomittaus
dc.subject.ysotietotyypit
dc.subject.ysomittausmenetelmät
dc.subject.ysoneurofysiologia
dc.subject.ysooppiminen
dc.subject.ysooppimistyylit
dc.subject.ysooppimisympäristö
dc.subject.ysotutkimusmenetelmät
dc.subject.ysosimulointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p16215
jyx.subject.urihttp://www.yso.fi/onto/yso/p183
jyx.subject.urihttp://www.yso.fi/onto/yso/p4794
jyx.subject.urihttp://www.yso.fi/onto/yso/p29535
jyx.subject.urihttp://www.yso.fi/onto/yso/p20083
jyx.subject.urihttp://www.yso.fi/onto/yso/p2316
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
jyx.subject.urihttp://www.yso.fi/onto/yso/p7416
jyx.subject.urihttp://www.yso.fi/onto/yso/p4835
jyx.subject.urihttp://www.yso.fi/onto/yso/p415
jyx.subject.urihttp://www.yso.fi/onto/yso/p4787
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.funderCouncil of Tampere Regionen
dc.relation.funderPirkanmaan liittofi
jyx.fundingprogramERDF European Regional Development Fund, React-EUen
jyx.fundingprogramEAKR Euroopan aluekehitysrahasto, React-EUfi
dc.type.okmB3


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