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Mervi A Asikainen

Biographic Data

ID6509745
NAMEMervi A Asikainen
GIVEN NAMESMervi A
FAMILY NAMEAsikainen
SIGNATUREASIKAINEN M A
AFFILIATIONSUniversity of Eastern Finland
ORCID0000-0003-4946-3754
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Finnish university physics teachers’ experiences of transferring to online teaching due to Covid-19 pandemic

    Open Access•Risto Leinonen, Mikko H P Kesonen et al.•ARTICLE•SN Social Sciences•2023

    The COVID-19 pandemic arguably caused the most rapid and extensive educational reform ever witnessed. This article addresses the challenges, possibilities, and consequences that the pandemic has set for Finnish physics university teachers. The data were gathered with a literature-based online survey consisting of Likert scale claims and open-ended questions related to the following themes: the use of technology, interaction, learning and evaluati…

  • Using network analysis methods to investigate how future teachers conceptualize the links between the domains of teacher knowledge

    Open Access•Mika Koponen, Mervi A Asikainen et al.•ARTICLE•Teaching and Teacher Education•2018•Cited by: 1•References: 5

    In this article we present a new approach to investigating teacher knowledge. The essay data related to Finnish future teachers' (N = 18) perceptions of the "knowledge required for teaching mathematics" were transformed into a network. We classified the knowledge topics using the Mathematical Knowledge for Teaching (MKT) framework and examined the relationships between the issues raised with the aid of network analysis. According to the results, …

  • Using network analysis methods to investigate how future teachers conceptualize the links between the domains of teacher knowledge

    Open Access•Mika Koponen, Mervi A Asikainen et al.•ARTICLE•Teaching and Teacher Education•2018•Cited by: 1•References: 5

    In this article we present a new approach to investigating teacher knowledge. The essay data related to Finnish future teachers' (N = 18) perceptions of the "knowledge required for teaching mathematics" were transformed into a network. We classified the knowledge topics using the Mathematical Knowledge for Teaching (MKT) framework and examined the relationships between the issues raised with the aid of network analysis. According to the results, …

  • Using network analysis methods to investigate how future teachers conceptualize the links between the domains of teacher knowledge

    Open Access•Mika Koponen, Mervi A Asikainen et al.•ARTICLE•Teaching and Teacher Education•2018•Cited by: 1•References: 5

    In this article we present a new approach to investigating teacher knowledge. The essay data related to Finnish future teachers' (N = 18) perceptions of the "knowledge required for teaching mathematics" were transformed into a network. We classified the knowledge topics using the Mathematical Knowledge for Teaching (MKT) framework and examined the relationships between the issues raised with the aid of network analysis. According to the results, …

  • Finnish university physics teachers’ experiences of transferring to online teaching due to Covid-19 pandemic

    Open Access•Risto Leinonen, Mikko H P Kesonen et al.•ARTICLE•SN Social Sciences•2023

    The COVID-19 pandemic arguably caused the most rapid and extensive educational reform ever witnessed. This article addresses the challenges, possibilities, and consequences that the pandemic has set for Finnish physics university teachers. The data were gathered with a literature-based online survey consisting of Likert scale claims and open-ended questions related to the following themes: the use of technology, interaction, learning and evaluati…

Mathematics education (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Educational Assessment and Improvement (1 work) · Experimental and Theoretical Physics Studies (1 work) · Innovative Teaching and Learning Methods (1 work) · Knowledge level (1 work) · Medical education (1 work)

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