Araştırma Makalesi
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Yıl 2019, Cilt: 5 Sayı: 2, 146 - 155, 07.07.2019
https://doi.org/10.21891/jeseh.568816

Öz

Kaynakça

  • Yuzuak, A.V., Erten, S. & Kara, Y. (2019). Analysis of laboratory videos of science teacher candidates with many-facet Rasch measurement model. Journal of Education in Science, Environment and Health (JESEH), 5(2), 146-155. DOI:10.21891/jeseh.568816

Analysis of Laboratory Videos of Science Teacher Candidates with Many-Facet Rasch Measurement Model

Yıl 2019, Cilt: 5 Sayı: 2, 146 - 155, 07.07.2019
https://doi.org/10.21891/jeseh.568816

Öz

Aim of the present study is to analyze science teacher candidates’
laboratory videos by using Many-facet Rasch model. Survey method was used in
the study. The study was conducted in 2017-2018 academic year spring semester.
Rasch model’s surfaces are respectively: 9
juries, 13 science activities and 19 criteria. FACETS program was used for data
analysis. Findings reveal that laboratory video, which was coded as SA8, was
found to be the most successful and SA1 coded video was found the most
unsuccessful with respect to criteria.
The simplest articles
which science teacher candidates were subjected are “introducing yourself”,
“using proper costume”, “appropriate time” and the articles for which the
science teacher candidates are constrained mostly “sound-supporting effect”,
“writing effect”, “warning for security precautions”.
Jury numbered 3 or coded as J3 is “the most
lenient” and scorer numbered 2 is “the severest” when juries are sequenced from
the most lenient. Moreover, i
t could be said that, some of the jury members were extremely severe or
lenient against some science activities according to bias analysis.

Kaynakça

  • Yuzuak, A.V., Erten, S. & Kara, Y. (2019). Analysis of laboratory videos of science teacher candidates with many-facet Rasch measurement model. Journal of Education in Science, Environment and Health (JESEH), 5(2), 146-155. DOI:10.21891/jeseh.568816
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Ahmet Volkan Yuzuak 0000-0002-4712-0259

Sinan Erten

Yilmaz Kara

Yayımlanma Tarihi 7 Temmuz 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 5 Sayı: 2

Kaynak Göster

APA Yuzuak, A. V., Erten, S., & Kara, Y. (2019). Analysis of Laboratory Videos of Science Teacher Candidates with Many-Facet Rasch Measurement Model. Journal of Education in Science Environment and Health, 5(2), 146-155. https://doi.org/10.21891/jeseh.568816