Fit between applicants’ prior knowledge and university selection criteria: study of Finnish teacher education student admission in 2013–2015 Article Swipe
Jenni Kunnari
,
J. Pursiainen
,
Esa Läärä
,
Jarmo Rusanen
,
Hanni Muukkonen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1080/02607476.2022.2072714
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1080/02607476.2022.2072714
Fluent transitions to higher education are a common concern, especially in highly selective Finnish teacher education (TE). This study examined the fit between the matriculation examination (ME) results and the selection criteria applied in TE. We studied the accepted applicants in Finland in 2013–2015 (n = 5116), and both the accepted and rejected applicants at the University of Oulu in 2015 (n = 2170). Among the accepted applicants, the ME typically consisted of mother tongue, advanced syllabus English, basic syllabus mathematics, psychology, and health education. The various selection criteria did not directly differentiate the applicants with respect to the ME. The two strongest predictors in the ME for acceptance to TE were the choice of and performance in advanced syllabus mathematics and psychology. The results are discussed in light of selection criteria and TE.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/02607476.2022.2072714
- https://www.tandfonline.com/doi/pdf/10.1080/02607476.2022.2072714?needAccess=true
- OA Status
- bronze
- Cited By
- 1
- References
- 24
- Related Works
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- OpenAlex ID
- https://openalex.org/W4293064657
All OpenAlex metadata
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Fit between applicants’ prior knowledge and university selection criteria: study of Finnish teacher education student admission in 2013–2015Work title
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articleOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-05-24Full publication date if available
- Authors
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Jenni Kunnari, J. Pursiainen, Esa Läärä, Jarmo Rusanen, Hanni MuukkonenList of authors in order
- Landing page
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https://doi.org/10.1080/02607476.2022.2072714Publisher landing page
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https://www.tandfonline.com/doi/pdf/10.1080/02607476.2022.2072714?needAccess=trueDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://www.tandfonline.com/doi/pdf/10.1080/02607476.2022.2072714?needAccess=trueDirect OA link when available
- Concepts
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Syllabus, Matriculation, Selection (genetic algorithm), Mathematics education, Psychology, Higher education, Medical education, Pedagogy, Medicine, Political science, Computer science, Artificial intelligence, LawTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| publication_year | 2022 |
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