Measuring higher-order cognitive skills with multiple choice questions : potentials and pitfalls of Finnish teacher education entrance
Haataja, E. S. H., Tolvanen, A., Vilppu, H., Kallio, M., Peltonen, J., & Metsäpelto, R.-L. (2023). Measuring higher-order cognitive skills with multiple choice questions : potentials and pitfalls of Finnish teacher education entrance. Teaching and Teacher Education, 122, Article 103943. https://doi.org/10.1016/j.tate.2022.103943
Julkaistu sarjassa
Teaching and Teacher EducationTekijät
Päivämäärä
2023Oppiaine
KasvatuspsykologiaPsykologiaOpettajien koulutuksen tutkimus (opetus, oppiminen, opettajuus, oppimispolut, koulutus)KasvatuspsykologiaPsychologyTeacher education research (teaching, learning, teacher, learning paths, education)Tekijänoikeudet
© 2023 The Authors. Published by Elsevier Ltd.
This mixed methods study examines the structure of the multiple-choice exam for student selection in Finnish teacher education. Through qualitative content analysis, we categorized multiple-choice questions into items that assessed lower- and higher-order cognitive processes based on the Revised Bloom's Taxonomy. Exploratory and confirmatory factor analyses yielded four factors that represented lower- and higher-order cognitive processing skills and comprehension of empirical and theoretical items. These were associated with matriculation examination grades, especially with the average grade and the mother tongue grade. When developing future multiple-choice exams for admissions, we recommend emphasizing higher-order processing skills and the role of source materials.
Julkaisija
ElsevierISSN Hae Julkaisufoorumista
0742-051XAsiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/164383653
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiahanke, SALisätietoja rahoituksesta
This study was a part of the SITE consortium project of University of Jyväskylä and University of Turku and was funded by the Academy of Finland (project number 342191).Lisenssi
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